A flexible and stable numerical method for simulating the thermal decomposition of wood particles
problems in writing an abstract
句子无主语在汉语中,无主语的句子被广泛使用,受此影响,作者在用英文撰写时也往往以动词开始。
汉语原文:首先回顾了光纤通信的历史,综述了光纤通信的发展现状,接着介绍了密集波分复用的若干使能技术最后对40Gb/s系统的若干关键技术进行了评述。
英语原文:Introduced status for optical fiber communication at first. Then described some enabling technologies of dense wavelength division multiplexing(DWDM). Finally commented some key technologies for 40Gb/s system.修改后:This paper begins with an introduction to the current status of optical fiber communication, followed by a presentation of some enabling technologies of dense wavelength division multiplexing (DWDM) and concludes with a comment on some key technologies for the 40Gb/s system.在英语语言中,直接以动词开头的句子在书面语中并不常见,因此,在摘要中可将这类句子翻译为被动语态“… is introduced/described/presented/dealt with…”或以“This paper introduces/describes/presents/deals with…”开头的主动语态。
时态使用错误在汉语中“做了某事”表示动作已经发生,受此影响,中国作者常将“本文讨论了”翻译为过去时态。
模具专业英语词汇
入水:gate进入位:gate location水口形式:gate type大水口:edge gate细水口: pin-point gate水口大小:gate size转水口:switching runner/gate唧嘴口径:spray diameter流道: runner热流道:hot runner, hot manifold 热嘴冷流道: hot spray/cold runner唧嘴直流: direct spray gate圆形流道:round(full/half runner流道电脑分析:mold flow analysis流道平衡:runner balance热嘴:hot spray热流道板:hot manifold发热管:cartridge heater探针: thermocouples插头:connector plug插座: connector socket密封/封料: seal运水:water line喉塞:line plug喉管:tube塑胶管:plastic tube快速接头:jiffy quick connector plug 模具零件:mold components三板模:3-plate mold二板模:2-plate mold边钉/导边:leader pin/guide pin边司/导套:bushing/guide bushing中托司:shoulder guide bushing中托边L:guide pin顶针板:ejector retainner plate托板:support plate螺丝: screw管钉:dowel pin开模槽:ply bar slot模管位:core/cavity inter-lock顶针:ejector pin司筒:ejector sleeve司筒针:ejector pin 模具专业英语推板:stripper plate缩呵:movable core, return core puller 扣机(尼龙拉勾):nylon latch lock斜顶:lifter模胚(架): mold base上模:cavity insert下模:core insert行位(滑块): slide镶件:insert压座/斜楔:wedge耐磨板/油板:wedge wear plate压条:plate撑头: support pillar唧嘴: sprue bushing挡板:stop plate定位圈:locating ring锁扣:latch扣鸡:parting lock set推杆:push bar栓打螺丝:S.H.S.Binjection nozzle 射出喷嘴顶板:eracuretun活动臂:lever arm分流锥:spure sperader水口司:bush垃圾钉:stop pin隔片:buffle弹弓柱:spring rod弹弓:die spring中托司:ejector guide bush中托边:ejector guide pin镶针:pin销子:dowel pin波子弹弓:ball catch喉塞: pipe plug锁模块:lock plate斜顶:angle from pin斜顶杆:angle ejector rod尼龙拉勾:parting locks活动臂:lever arm复位键、提前回杆:early return bar气阀:valves斜导边:angle pin术语:terms承压平面平衡:parting surface support balance模排气:parting line venting回针碰料位:return pin and cavity interference模总高超出啤机规格:mold base shut hight 顶针碰运水:water line interferes withejector pin料位出上/下模:part from cavith (core) side模胚原身出料位:cavity direct cut on A-plate,core direct cut on B-plate.不准用镶件: Do not use (core/cavity) insert用铍铜做镶件: use beryllium copper insert 初步(正式)模图设计:preliinary (final) mold design反呵:reverse core弹弓压缩量:spring compressed length 稳定性好:good stability, stable强度不够:insufficient rigidity均匀冷却:even cooling扣模:sticking热膨胀:thero expansion公差:tolerance铜公(电极):copper electrodebrasive grinding 强力磨削abrasive 磨料的,研磨的absence 不在,缺席accessory 附件accommodate 适应accordingly 因此,从而,相应地accuracy 精度,准确性actuate 开动(机器),驱动adequate 足够的adhesive 粘合剂adjacent 邻近的adopt 采用advance 进步advisable 可取的agitate 摇动a large extent 很大程度algorithm 算法align 定位,调准alignment 校直all-too-frequent 频繁allowance 容差,余量alternate 交替,轮流alternatively 选择,也许aluminium 铝ample 充足的analysis 分析ancillary 补助的,副的angular 有角的annealing 退火aperture 孔applied loads 作用力appropriate 适当的arc 弧,弓形arise 出现,发生arrange 安排article 制品,产品ascertain 确定,查明assemble 组装attitude 态度auxiliary 辅助的avoid 避免axis 轴axle 轮轴,车轴alternative 替换物backup 备份batch 一批bearing 轴承,支座bed 床身behavior 性能bench-work 钳工工作bend 弯曲beneath 在•••下bin 仓,料架blank 坯料blank 冲裁,落料blanking 落料模blast 一阵(风)blemish 缺点,污点bolster 模座,垫板boring 镗削,镗孔bracket 支架brass 黄铜break down 破坏breakage 破坏brine 盐水brittle 易碎的buffer 缓冲器built-in 装的bulging 凸肚burr 毛刺bush 衬套by far •••得多,最by means of 借助于boost 推进cabinet 橱柜call upon 要求carbide 碳化物carburzing 渗碳carriage 拖板,大拖板carry along 一起带走carry down over 从•••上取下carry out 完成case hardening 表面硬化case 壳,套cast steel 铸钢casting 铸造,铸件category 种类caution 警告,警示cavity and core plates 凹模和凸模板cavity 型腔,腔,洞centre-drilling 中心孔ceramic 瓷制品chain doted line 点划线channel 通道,信道characteristic 特性check 核算chip 切屑,铁屑chuck 卡盘chute 斜道circa 大约circlip (开口)簧环circuit 回路,环路circulate (使)循环clamp 夹紧clamp 压板clay 泥土clearance 间隙clip 切断,夹住cold hobbing 冷挤压cold slug well 冷料井collapse 崩塌,瓦解collapsible 可分解的combination 组合commence 开始,着手commence 开始commercial 商业的competitive 竞争的complementary 互补的complexity 复杂性complication 复杂化compression 压缩comprise 包含compromise 妥协,折衷concern with 关于concise 简明的,简练的confront 使面临connector 连接口,接头consequent 随之发生的,必然的console 控制台consume 消耗,占用consummate 使完善container 容器contingent 可能发生的CPU (central processing unit) 中央处理器conventional 常规的converge 集中于一点conversant 熟悉的conversion 换算,转换conveyer 运送装置coolant 冷却液coordinate (使)协调copy machine 仿形(加工)机床core 型芯,核心corresponding 相应的counteract 反作用,抵抗couple with 伴随contour 轮廓crack (使)破裂,裂纹critical 临界的cross-hatching 剖面线cross-section drawn 剖面图cross-slide 横向滑板CRT (cathoder-ray tube) 阴极射线管crush 压碎cryogenic 低温学的crystal 结晶状的cubic 立方的,立方体的cup (使)成杯状,引伸curable 可矫正的curvature 弧线curve 使弯曲cutter bit 刀头,刀片cyanide 氰化物complicated 复杂的dash 破折号daylight 板距decline 下落,下降,减少deform (使)变形demonstrate 证明depict 描述deposite 放置depression 凹穴descend 下降desirable 合适的detail 细节,详情deterioration 退化,恶化determine 决定diagrammmatic 图解的,图表的dictate 支配die 模具,冲模,凹模dielectric 电介质die-set 模架digital 数字式数字dimensional 尺寸的,空间的discharge 放电,卸下,排出discharge 卸下discrete 离散的,分立的dislodge 拉出,取出dissolution 结束distinct 不同的,显著的distort 扭曲distort (使)变形,扭曲distributed system 分布式系统dowel 销子dramaticlly 显著地drastic 激烈的draughting 绘图draughtsman 起草人drawing 制图drill press 钻床drum 鼓轮dual 双的,双重的ductility 延展性dynamic 动力的edge 边缘e.g.(exempli gratia) [拉]例如ejector 排出器ejector plate 顶出板ejector rob 顶杆elasticity 弹性electric dicharge machining 电火花加工electrode 电极electro-deposition 电铸elementary 基本的eliminate 消除,除去elongate (使)伸长,延长emerge 形成,显现emphasise 强调endeavour 尽力engagement 约束,接合enhance 提高,增强ensure 确保,保证erase 抹去,擦掉evaluation 评价,估价eventually 终于evolution 进展excecution 执行,完成execute 执行electrochemical machining 电化学加工exerte 施加experience 经验explosive 爆炸(性)的extend 伸展external 外部的extract 拔出extreme 极端extremely 非常地extremity 极端extrusion 挤压,挤出envisage 设想Fahrenheit 华氏温度fabricate 制作,制造flat-panel technology 平面(显示)技术facility 设备facing 端面车削fall within 属于,适合于fan 风扇far from 毫不,一点不,远非fatigue 疲劳feasible 可行的feature 特色,特征feed 进给feedback 反馈female 阴的,凹形的ferrule 套管file system 文件系统fitter 装配工,钳工fix 使固定,安装fixed half and moving half 定模和动模facilitate 帮助flexibility 适应性,柔性flexible 柔韧的flow mark 流动斑点follow-on tool 连续模foregoing 在前的,前面的foretell 预测,预示,预言forge 锻造forming 成型four screen quadrants 四屏幕象限fracture 破裂free from 免于gap 裂口,间隙gearbox 齿轮箱govern 统治,支配,管理grain 纹理graphic 图解的grasp 抓住grid 格子,网格grind 磨,磨削,研磨grinding 磨光,磨削grinding machine 磨床gripper 抓爪,夹具groove 凹槽guide bush 导套guide pillar 导柱guide pillars and bushes 导柱和导套handset 听筒hardness 硬度hardware 硬件headstock 床头箱,主轴箱hexagonal 六角形的,六角的hindrance 障碍,障碍物hob 滚刀,冲头hollow-ware 空心件horizontal 水平的hose 软管,水管hyperbolic 双曲线的i.e. (id est) [拉]也就是identical 同样的identify 确定,识别idle 空闲的immediately 正好,恰好impact 冲击impart 给予implement 实现impossibility 不可能impression 型腔in contact with 接触in terms of 依据inasmuch (as) co因为,由于inch-to-metric conversions 英公制转换inclinable 可倾斜的inclusion 含物inconspicuous 不显眼的incorporate 合并,混合indentation 压痕indenter 压头independently 独自地,独立地inevitably 不可避免地inexpensive 便宜的inherently 固有的injection mould 注塑模injection 注射in-line-of-draw 直接脱模insert 嵌件inserted die 嵌入式凹模inspection 检查,监督installation 安装integration 集成intelligent 智能的intentinonally 加强地,集中地interface 界面internal 部的interpolation 插值法investment casting 熔模铸造irregular 不规则的,无规律irrespective of 不论,不管irrespective 不顾的,不考虑的issue 发布,发出joint line 结合线kerosene 煤油keyboard 健盘knock 敲,敲打lance 切缝lathe 车床latitude 自由lay out 布置limitation 限度,限制,局限(性) local intelligence 局部智能locate 定位logic 逻辑longitudinal 纵向的longitudinally 纵向的look upon 视作,看待lubrication 润滑machine shop 车间machine table 工作台machining 加工made-to-measure 定做maintenance 维护,维修majority 多数make use of 利用male 阳的,凸形的malfunction 故障mandrel 心轴manifestation 表现,显示massiveness 厚实,大块measure 大小,度量microcomputer 微型计算机microns 微米microprocessor 微处理器mild steel 低碳钢milling machine 铣床mineral 矿物,矿产minimise 把减到最少,最小化minute 微小的mirror image 镜像mirror 镜子moderate 适度的modification 修改,修正modulus 系数mold 模,铸模mold 制模,造型monitor 监控monograph 专著more often than not 常常motivation 动机mould split line 模具分型线moulding 注塑件move away from 抛弃multi-imprssion mould 多型腔模narrow 狭窄的NC (numerical control) 数控nevertheless 然而,不过nonferrous 不含铁的,非铁的normally 通常地novice 新手,初学者nozzle 喷嘴,注口numerical 数字的objectionable 有异议的,讨厌的observe 观察obviously 明显地off-line 脱机的on-line 联机operational 操作的,运作的opportunity 时机,机会opposing 对立的,对面的opposite 反面optimization 最优化orient 确定方向orthodox 正统的,正规的overall 全面的,全部的overbend 过度弯曲overcome 克服,战胜overlaping 重叠overriding 主要的,占优势的opposite 对立的,对面的pack 包装package 包装pallet 货盘panel 面板paraffin 石蜡parallel 平行的penetration 穿透peripheral 外围的periphery 外围permit 许可,允许pessure casting 压力铸造pillar 柱子,导柱pin 销,栓,钉pin-point gate 针点式浇口piston 活塞plan view 主视图plasma 等离子plastic 塑料platen 压板plotter 绘图机plunge 翻孔plunge 投入plunger 柱塞pocket-size 袖珍portray 描绘pot 壶pour 灌,注practicable 行得通的preferable 更好的,更可取的preliminary 初步的,预备的press setter 装模工press 压,压床,冲床,压力机prevent 妨碍primarily 主要地procedure 步骤,方法,程序productivity 生产力profile 轮廓progressively 渐进地project 项目project 凸出projection 突出部分proper 本身的property 特性prototype 原形proximity 接近prudent 谨慎的punch 冲孔punch shapper tool 刨模机punch-cum-blanking die 凹凸模punched tape 穿孔带purchase 买,购买push back pin 回程杆pyrometer 高温计quality 质量quandrant 象限quantity 量,数量quench 淬火radial 放射状的ram 撞锤rapid 迅速的rapidly 迅速地raster 光栅raw 未加工的raw material 原材料ream 铰大reaming 扩孔,铰孔recall 记起,想起recede 收回,后退recess 凹槽,凹座,凹进处redundancy 过多re-entrant 凹入的refer 指,涉及,谈及reference 参照,参考refresh display 刷新显示register ring 定位环register 记录,显示,记数regrind 再磨研relative 相当的,比较的relay 继电器release 释放relegate 把降低到reliability 可靠性relief valves 安全阀relief 解除relieve 减轻,解除remainder 剩余物,其余部分removal 取出remove 切除,切削reposition 重新安排represent 代表,象征reputable 有名的,受尊敬的reservoir 容器,储存器resident 驻存的resist 抵抗resistance 阻力,抵抗resolution 分辨率respective 分别的,各自的respond 响应,作出反应responsibility 责任restrain 抑制restrict 限制,限定restriction 限制retain 保持,保留retaining plate 顶出固定板reveal 显示,展现reversal 反向right-angled 成直角的rigidity 钢度rod 杆,棒rotate (使)旋转rough machining 粗加工rough 粗略的routine 程序rubber 橡胶runner and gate systems 流道和浇口系统sand casting 砂型铸造satisfactorily 满意地saw 锯子scale 硬壳score 刻划scrap 废料,边角料,切屑screwcutting 切螺纹seal 密封section cutting plane 剖切面secure 固定secure 紧固,夹紧,固定segment 分割sensitive 敏感的sequence 次序sequential 相继的seriously 严重地servomechanism 伺服机构servomotor 伺服马达setter 安装者set-up 机构sever 切断severity 严重shaded 阴影的shank 柄shear 剪,切shot 注射shrink 收缩side sectional view 侧视图signal 信号similarity 类似simplicity 简单single-point cutting tool 单刃刀具situate 使位于,使处于slide 滑动,滑落slideway 导轨slot 槽slug 嵌条soak 浸,泡,均热software 软件solid 立体,固体solidify (使)凝固solidify (使)固化solution 溶液sophisiticated 尖端的,完善的sound 结实的,坚固的spark erosion 火花蚀刻spindle 主轴spline 花键split 侧向分型,分型spool 线轴springback 反弹spring-loaded 装弹簧的sprue bush 主流道衬套sprue puller 浇道拉杆square 使成方形Servomechanism Laboratoies 伺服机构实验室stage 阶段standardisation 标准化startling 令人吃惊的steadily 稳定地step-by-step 逐步stickiness 粘性stiffness 刚度stock 毛坯,坯料storage tube display 储存管显示storage 储存器straightforward 直接的strain 应变strength 强度stress 压力,应力stress-strain 应力--应变stretch 伸展strike 冲击stringent 严厉的stripper 推板stroke 冲程,行程structrural build-up 结构上形成的sub-base 垫板subject 使受到submerge 淹没subsequent 后来的subsequently 后来,随后substantial 实质的substitute 代替,替换subtract 减,减去suitable 合适的,适当的suitably 合适地sunk 下沉,下陷superior 上好的susceptible 易受影响的sweep away 扫过symmetrical 对称的synchronize 同步,同时发生tactile 触觉的,有触觉的tailstock 尾架tapered 锥形的tapping 攻丝technique 技术tempering 回火tendency 趋向,倾向tensile 拉力的,可拉伸的tension 拉紧,紧terminal 终端机terminology 术语,用辞theoretically 理论地thereby 因此,从而thermoplastic 热塑性的thermoplastic 热塑性塑料thermoset 热固性thoroughly 十分地,彻底地thread pitch 螺距thread 螺纹thrown up 推上tilt 倾斜,翘起tolerance 公差two-plate mould 双板式注射模tong 火钳tonnage 吨位,总吨数tool point 刀锋tool room 工具车间toolholder 刀夹,工具柄toolmaker 模具制造者toolpost grinder 工具磨床toolpost 刀架torsional 扭转的toughness 韧性trace 追踪transverse 横向的tray 盘,盘子,蝶treatment 处理tremendous 惊人的,巨大的trend 趋势trigger stop 始用挡料销tungsten 钨turning 车削twist 扭曲,扭转tracer-controlled milling machine 仿形铣床ultimately 终于undercut mould 侧向分型模undercut 侧向分型undercut 底切underfeed 底部进料的undergo 经受underside 下面,下侧undue 不适当的,过度的uniform 统一的,一致的utilize 利用Utopian 乌托邦的,理想化的valve 阀vaporize 汽化vaporize (使)蒸发variation 变化various 不同的,各种的vector feedrate computation 向量进刀速率计算vee 字形velocity 速度versatile 多才多艺的,万用的vertical 垂直的via prep经,通过vicinity 附近viewpoint 观点wander 偏离方向warp 翘曲washer 垫圈wear 磨损well line 结合线whereupon 于是winding 绕,卷with respect to 相对于withstand 经受,经得起work 工件workstage 工序wrinkle 皱纹使皱yield 生产zoom 图象电子放大runner less mold 无流道模hot runner mold 热流道模insulated runner mold 绝热流道模warm runner mold 温流道模runner plate 流道板warm runner plate 温流道板sprue 直浇道,主流道,浇口runless injiection 无流道冷料模具hot-runner mold 热流道模具runner ejector set 流道顶出器runner lock pin 流道拉梢shoot 流道die block steel 模具钢die material 模具材料cold work tool (die) steel 冷作工具(模具)钢hot work tool (die) steel 热作工具(模具)钢holder of punch 凸模夹持器die slide 下模滑动装置turret press 冲模回转压力机blanking die 冲裁模piercing die 冲孔模die,stamping and punching die 冲模die life 冲模寿命die shut height 模具闭合高度clearance between punch and die 凹凸模间隙peak die load 模具最大负荷matrix plate凹模固定板clearance between punch and die 凹凸模间隙matrix plate 凹模固定板cavity plate (block) 凹模die block凸模固定板button die 镶入式圆形凸模gib 凹形拉紧销spanishing凹痕印刷concave angle 凹角concave cutter 凹面铣刀depression 外缩凹孔sinking 凹陷single redessed单面缩凹形clamp-off 铸件凹痕riding 凹陷holder of punch 凸模夹持器clearance between punch and die凹凸模间隙counter punch反凸模angular cams 角凸轮flanged pin 带凸缘销weld flush焊缝凸起flange joint凸缘接头flange connection 凸缘联接convex cutter 凸形铣刀belling 压凸加工cam die bending 凸轮弯曲加工flabging 凸缘加工lug 凸缘crowing 中凸研磨flage wrinkel 凸缘起皱bent pilot 弯曲导正销baffle 导流块ejector guide pin 推板导柱ejector guide bush 板导推套dowel hole 导套孔ejector guide pin 顶出导梢ejector leader busher顶出导梢衬套guide bushing 引导衬套guide pin导梢guide plate 导板guide post 引导柱guide rail 导轨locating pilot pin 定位导梢pass guide穴型导板pilot pin 导销die slide下模滑动装置outer slide外滑块ball silder 球塞滑块slide(slide core) 滑块slip joint 滑配接头snap fit 滑入配合Screw thread lubricant 螺纹润滑剂drawing with ironing 抽引光滑加工dulling平滑glazing光滑剂shot chamber 注射室shot volume 注射量,压注量shot capacity 注射能力injection pressure压射比压,注射压力injection speed 注射速度injection forming 注射成形injection speed 注射速度injection mold 注射模injection mold for thermosets 热固性塑料注射模injection mold for thermoplastics 热塑性塑料注射模shot volume 注射量,压注量shot注射(射次)return-blank type blanking die顶出式落料模ejector guide pin 顶出导梢ejector pad 顶出垫ejector pin顶出梢ejector plate顶出板ejector rod 顶出杆ejector stopper 顶出止动ejector valve 顶出阀ejection pad 顶出衬垫ejector leader busher 顶出导梢衬套head punch 顶镦冲头lifting pin起模顶销pre extrusion punch顶挤冲头runner ejector set 流道顶出器prehardened steel 顶硬钢core-pulling force 抽芯力ejector guide pin 推板导柱ejector guide bush 板导推套ejector pin (plate) 推杆(板)ejector sleeve 推管ejector pin retaining plate 推杆固定板puncher 推杆taper key 推拔键thrust pin 推力销plain tapered bore 普通推拔孔taper shank推拔柄taper tap推拔螺丝攻sprue puller 拉料杆。
analytical method和numerical method
analytical method和numerical method Analytical MethodIntroductionAnalytical methods are mathematical methods that are used to solve equations or problems in a closed form. Analytical methods are used when exact solutions to problems can be obtained using mathematical equations. These methods are widely used in various fields of science and engineering.Advantages of Analytical MethodsOne of the main advantages of analytical methods is that they provide exact solutions to problems. This means that the results obtained using analytical methods are highly accurate and reliable. Furthermore, analytical methods can be used to derive general formulas that can be applied to a wide range of problems.Disadvantages of Analytical MethodsOne of the main disadvantages of analytical methods is that they can only be applied to simple problems with well-definedboundary conditions. Furthermore, analytical methods may not always provide practical solutions to real-world problems due to their complexity.Examples of Analytical MethodsSome examples of analytical methods include:1. Differential Equations: Differential equations are used to describe the behavior of physical systems such as heat transfer, fluid flow, and electromagnetic fields.2. Fourier Analysis: Fourier analysis is used to decompose complex signals into simple sinusoidal components, which can then be analyzed more easily.3. Laplace Transform: The Laplace transform is used to solve differential equations by transforming them into algebraic equations.Numerical MethodIntroductionNumerical methods are mathematical techniques that are usedto obtain approximate solutions to complex mathematical problems. Numerical methods involve the use of computers and algorithms to perform calculations on large datasets and complex systems.Advantages of Numerical MethodsOne of the main advantages of numerical methods is that they can be applied to complex problems with uncertain boundary conditions, which cannot be solved using analytical methods. Furthermore, numerical methods can provide accurate results even for large datasets and complex systems.Disadvantages of Numerical MethodsOne major disadvantage of numerical methods is that they involve a degree of approximation and uncertainty in their results. Furthermore, numerical methods can be computationally expensive and time-consuming.Examples of Numerical MethodsSome examples of numerical methods include:1. Finite Element Method: The finite element method is used to solve complex problems in engineering and physics by dividingthe problem into smaller, simpler elements.2. Monte Carlo Method: The Monte Carlo method is used to simulate complex systems by generating random numbers and analyzing their behavior.3. Numerical Integration: Numerical integration is used to approximate the value of integrals that cannot be solved analytically.ConclusionIn conclusion, both analytical and numerical methods have their advantages and disadvantages, depending on the problem being solved. Analytical methods are best suited for simple problems with well-defined boundary conditions, while numerical methods are best suited for complex problems with uncertain boundary conditions. Both methods are important tools for scientists and engineers in various fields of study.。
numerical methods using matlab
Numerical Methods Using MATLABIntroductionNumerical methods are essential in solving mathematical problems that cannot be solved analytically. These methods utilize computational algorithms to obtain approximate solutions to complex mathematical equations. MATLAB, a powerful numerical computing software, provides several built-in functions and tools for implementing and solving numerical problems efficiently.In this article, we will explore various numerical methods that can be implemented using MATLAB. We will discuss their underlying concepts and provide examples to illustrate their applications. Additionally, we will demonstrate how MATLAB’s robust computational capabilities can simplify the implementation of these methods.Root-Finding Methods1. Bisection MethodThe bisection method is a simple and robust numerical technique used to find the root of a function within a given interval. The interval is successively divided into smaller intervals until a root is identified. MATLAB provides the function fzero for implementing the bisection method.Here is an example of finding the root of the equation f(x) = x^2 - 4 using the bisection method:1.Initialize the interval [a, b]: a = 1, b = 32.Calculate the midpoint c: c = (a + b) / 2 = 23.Evaluate f(c): f(c) = c^2 - 4 = 2^2 - 4 = 04.If f(c) = 0, c is the root. Otherwise, update the interval:–If f(a) * f(c) < 0, set b = c–If f(c) * f(b) < 0, set a = c5.Repeat steps 2-4 until the desired accuracy is achieved.2. Newton-Raphson MethodThe Newton-Raphson method is an iterative numerical technique used to find the root of a function. It relies on linearizing the function at an initial guess and iteratively improving the estimate until convergence. MATLAB provides the function fzero for implementing the Newton-Raphson method.Consider finding the root of the equation f(x) = x^2 - 4 using the Newton-Raphson method:1.Initialize the initial guess x0: x0 = 32.Calculate the next approximation using the formula: xi+1 = xi -f(xi) / f’(xi)3.Repeat step 2 until convergence is achieved.Interpolation Methods1. Linear InterpolationLinear interpolation is a method used to estimate the value of afunction between two known data points. It assumes that the function varies linearly between the given points. MATLAB provides the function interp1 for implementing linear interpolation.Here is an example of linear interpolation using MATLAB:1.Given two data points: (x1, y1) = (1, 2) and (x2, y2) = (3, 6)2.Calculate the slope: m = (y2 - y1) / (x2 - x1) = (6 - 2) / (3 - 1)= 23.Calculate the y-intercept: c = y1 - m * x1 = 2 - 2 * 1 = 0e the equation of a line, y = mx + c, to estimate the value ofthe function at a new point.2. Polynomial InterpolationPolynomial interpolation is a method used to estimate the value of a function between known data points using a polynomial equation. MATLAB provides the function polyfit for implementing polynomial interpolation.Consider the following set of data points: (x1, y1) = (1, 2), (x2, y2) = (2, 4), and (x3, y3) = (3, 6). We want to estimate the value of the function at x = 2.5 using polynomial interpolation:1.Define the polynomial equation: y = a0 + a1 * x + a2 * x^2 + …2.Substitute the data points into the equation and solve theresulting system of equations.e the obtained coefficients to evaluate the function at thedesired point.Numerical Integration Methods1. Trapezoidal RuleThe trapezoidal rule is a numerical integration method used to approximate the definite integral of a function. It divides the interval into trapezoids and sums up their areas to obtain an estimate. MATLAB provides the function trapz for implementing the trapezoidal rule.To illustrate the trapezoidal rule, consider evaluating the integral of the function f(x) = x^2 over the interval [0, 1]:1.Divide the interval into n subintervals of equal width: h = (b - a)/ n2.Approximate the integral using the formula: I = 0.5 * h * (f(a) +2 * sum(f(xi)) + f(b))3.Increase the value of n to improve the accuracy of theapproximation.2. Simpson’s RuleSimpson’s rule is a numerical integration method that provides a more accurate approximation by fitting the function with quadratic curves. It divides the interval into subintervals and uses weighted averages to estimate the integral. MATLAB provides the function quad forimplementing Simpson’s rule.Consider evaluating the integral of the function f(x) = x^4 over the interval [0, 1] using Simpson’s rule:1.Divide the interval into n subintervals: h = (b - a) / n2.Approximate the integral using the formula: I = (h / 3) * (f(a) +4 * sum(f(xi)) + 2 * sum(f(xi+1)) + f(b))3.Increase the value of n to improve the accuracy of theapproximation.ConclusionNumerical methods using MATLAB provide powerful tools for solving complex mathematical problems. In this article, we discussed root-finding methods, interpolation methods, and numerical integration methods. We explored the concepts behind these methods and provided examples of their implementation using MATLAB’s built-in functions. By leveraging MATLAB’s computational capabilities, we can efficiently and accurately solve various numerical problems.。
imsl库函数
IMSL Fortran Numerical Library 4Mathematical Functionality8Mathematical Special Functions9Statistical Functionality10IMSL – Also available for Java12 IMSL Math/Library14CHAPTER 1:Linear Systems14CHAPTER 2:Eigensystem Analysis 22CHAPTER 3:Interpolation and Approximation 24CHAPTER 4:Integration and Differentiation 28CHAPTER 5:Differential Equations 29CHAPTER 6:Transforms 30CHAPTER 7:Nonlinear Equations 32CHAPTER 8:Optimization33CHAPTER 9:Basic Matrix/Vector Operations35CHAPTER 10:Linear Algebra Operators and Generic Functions 41CHAPTER 11:Utilities 42 IMSL Math/Library Special Functions47CHAPTER 1:Elementary Functions47CHAPTER 2:Trigonometric and Hyperbolic Functions47CHAPTER 3:Exponential Integrals and Related Functions48CHAPTER 4:Gamma Function and Related Functions49CHAPTER 5:Error Function and Related Functions 50CHAPTER 6:Bessel Functions 50CHAPTER 7:Kelvin Functions 52CHAPTER 8:Airy Functions52CHAPTER 9:Elliptic Integrals 53CHAPTER 10:Elliptic and Related Functions54CHAPTER 11:Probability Distribution Functions and Inverses 54CHAPTER 12:Mathieu Functions 57CHAPTER 13:Miscellaneous Functions 57Library Environments Utilities 58IMSL Stat/Library59CHAPTER 1:Basic Statistics 59CHAPTER 2:Regression 60CHAPTER 3:Correlation62CHAPTER 4:Analysis of Variance63CHAPTER 5:Categorical and Discrete Data Analysis64CHAPTER 6:Nonparametric Statistics 65CHAPTER 7:Tests of Goodness-of-Fit and Randomness 66CHAPTER 8:Time Series Analysis and Forecasting67CHAPTER 9:Covariance Structures and Factor Analysis 70CHAPTER 10:Discriminant Analysis 71CHAPTER 11:Cluster Analysis71CHAPTER 12:Sampling72CHAPTER 13:Survival Analysis, Life Testing and Reliability72CHAPTER 14:Multidimensional Scaling73CHAPTER 15:Density and Hazard Estimation73CHAPTER 16:Line Printer Graphics74CHAPTER 17:Probability Distribution Functions and Inverses 75CHAPTER 18:Random Number Generation 78CHAPTER 19:Utilities81CHAPTER 20:Mathematical Support 83IMSL®FORTRAN NUMERICAL LIBRARY VERSION6.0 Written for Fortran programmers and based on the world’s most widely called numerical subroutines.At the heart of the IMSL Libraries lies the comprehensive and trusted set of IMSL mathematical and statistical numerical algorithms. The IMSL Fortran Numerical Library Version 6.0 includes all of the algorithms from the IMSL family of Fortran libraries including the IMSL F90 Library, the IMSL FORT RAN 77 Library, and the IMSL parallel processing features. With IMSL, we provide the building blocks that eliminate the need to write code from scratch. T hese pre-written functions allow you to focus on your domain of expertise and reduce your development time.ONE COMPREHENSIVE PACKAGEAll F77, F90 and parallel processing features are contained within a single IMSL Fortran Numerical Library package.INTERFACE MODULESThe IMSL Fortran Numerical Library Version 6.0 includes powerful and flexible interface modules for all applicable routines. The Interface Modules accomplish the following:•Allow for the use of advanced Fortran syntax and optional arguments throughout.•Only require a short list of required arguments for each algorithm to facilitate development of simpler Fortranapplications.•Provide full depth and control via optional arguments for experienced programmers.•Reduce development effort by checking data type matches and array sizing at compile time.•With operators and function modules, provide faster and more natural programming through an object-orientedapproach.This simple and flexible interface to the library routines speeds programming and simplifies documentation. The IMSL Fortran Numerical Library takes full advantage of the intrinsic characteristics and desirable features of the Fortran language.BACKWARD COMPATIBILITYThe IMSL Fortran Numerical Library Version 6.0 maintains full backward compatibility with earlier releases of the IMSL Fortran Libraries. No code modifications are required for existing applications that rely on previous versions of the IMSL Fortran Libraries. Calls to routines from the IMSL FORTRAN 77 Libraries with the F77 syntax continue to function as well as calls to the IMSL F90 Library.SMP/OPENMP SUPPORTThe IMSL Fortran Numerical Library has also been designed to take advantage of symmetric multiprocessor (SMP) systems. Computationally intensive algorithms in areas such as linear algebra will leverage SMP capabilities on a variety of systems. By allowing you to replace the generic Basic Linear Algebra Subprograms (BLAS) contained in the IMSL Fortran Numerical Library with optimized routines from your hardware vendor, you can improve the performance of your numerical calculations.MPI ENABLEDThe IMSL Fortran Numerical Library provides a dynamic interface for computing mathematical solutions over a distributed system via the Message Passing Interface (MPI). MPI enabled routines offer a simple, reliable user interface. The IMSL Fortran Numerical Library provides a number of MPI-enabled routines with an MPI-enhanced interface that provides:•Computational control of the server node.•Scalability of computational resources.•Automatic processor prioritization.•Self-scheduling algorithm to keep processors continuously active.•Box data type application.•Computational integrity.•Dynamic error processing.•Homogeneous and heterogeneous network functionality.•Use of descriptive names and generic interfaces.• A suite of testing and benchmark software.LAPACK AND SCALAPACKLAPACK was designed to make the linear solvers and eigensystem routines run more efficiently on high performance computers. For a number of IMSL routines, theuser of the IMSL Fortran Numerical Library has the option of linking to code which is based on either the legacy routines or the more efficient LAPACK routines. To obtain improved performance we recommend linking with vendor High Performance versions of LAPACK and BLAS, if available. ScaLAPACK includes a subset of LAPACK codes redesigned for use on distributed memory MIMD parallel computers. Use of the ScaLAPACK enhanced routines allows a user to solve large linear systems of algebraic equations at a performance level that might not be achievable on one computer by performing the work in parallel across multiple computers. Visual Numerics facilitates the use of parallel computing in these situations by providing interfaces to ScaLAPACK routines which accomplish the task. The IMSL Library solver interface has the same look and feel whether one is using the routine on a single computer or across multiple computers.USER FRIENDLY NOMENCLATUREThe IMSL Fortran Numerical Library uses descriptive explanatory function names for intuitive programming.ERROR HANDLINGDiagnostic error messages are clear and informative –designed not only to convey the error condition but also to suggest corrective action if appropriate. These error-handling features:•Make it faster and easier for you to debug your programs.•Provide for more productive programming and confidence that the algorithms are functioning properly in yourapplication.COST-EFFECTIVENESS AND VALUEThe IMSL Fortran Numerical Library significantly shortens program development time and promotes standardization.You will find that using the IMSL Fortran Numerical Library saves time in your source code development and saves thousands of dollars in the design, development, documentation, testing and maintenance of your applications.FULLY TESTEDVisual Numerics has developed over 35 years of experience in testing IMSL numerical algorithms for quality and performance across an extensive range of the latest compilers and environments. Visual Numerics works with compiler partners and hardware partners to ensure a high degree of reliability and performance optimization. This experience has allowed Visual Numerics to refine its test methods with painstaking detail. The result of this effort is a robust, sophisticated suite of test methods that allow the IMSL user to rely on the numerical analysis functionality and focus their bandwidth on their application development and testing.WIDE COMPATIBILITY AND UNIFORM OPERATION The IMSL Fortran Numerical Library is available for major UNIX computing environments, Linux, and Microsoft Windows. Visual Numerics performs extensive compatibility testing to ensure that the library is compatible with each supported computing environment.COMPREHENSIVE DOCUMENTATION Documentation for the IMSL Fortran Numerical Library is comprehensive, clearly written and standardized. Detailed information about each function is found in a single source within a chapter and consists of section name, purpose, synopsis, errors, return values and usage examples. An alphabetical index in each manual enables convenient cross-referencing.IMSL documentation:•Provides organized, easy-to-find information.•Extensively documents, explains and providesreferences for algorithms.•Includes hundreds of searchable code examples of function usage.UNMATCHED PRODUCT SUPPORTBehind every Visual Numerics license is a team of professionals ready to provide expert answers to questions about your IMSL software. Product support options include product maintenance and consultation, ensuring value and performance of your IMSL software.Product support:•Gives you direct access to Visual Numerics resident staff of expert product support specialists.•Provides prompt, two-way communication with solutions to your programming needs.•Includes product maintenance updates.•Enables flexible licensing options.The IMSL Fortran Numerical Library can be licensed in a number of flexible ways: licenses may be node-locked to a specific computer, or a specified number of licenses can be purchased to “float” throughout a heterogeneous network as they are needed. This allows you to cost-effectively acquire as many seats as you need today, adding more seats when it becomes necessary. Site licenses and campus licenses are also available. Rely on the industry leader for software that is expertly developed, thoroughly tested, meticulously maintained and well documented. Get reliable results EVERY TIME!Linear Systems, including real and complex, full and sparse matrices, linear least squares, matrix decompositions, generalized inverses and vector-matrix operations.Eigensystem Analysis, including eigenvalues and eigenvectors of complex, real symmetric and complex Hermitian matrices.Interpolation and Approximation, including constrained curve-fitting splines, cubic splines, least-squares approximation and smoothing, and scattered data interpolation.Integration and Differentiation, including univariate, multivariate, Gauss quadrature and quasi-Monte Carlo.Differential Equations, using Adams-Gear and Runge-Kutta methods for stiff and non-stiff ordinary differential equations and support for partial differential equations.Transforms, including real and complex, one- and two-dimensional fast Fourier transforms, as well as convolutions, correlations and Laplace transforms.Nonlinear Equations, including zeros and root finding of polynomials, zeros of a function and root of a system of equations.Optimization, including unconstrained, and linearly and nonlinearly constrained minimizations and the fastest linear programming algorithm available in a general math library.Basic Matrix/Vector Operations, including Basic Linear Algebra Subprograms (BLAS) and matrix manipulation operations.Linear Algebra Operators and Generic Functions, including matrix algebra operations, and matrix and utility functionality.Utilities, including CPU time used, machine, mathematical, physical constants, retrieval of machine constants and customizable error-handling.Mathematical FunctionalityThe IMSL Fortran Numerical Library is a collection of the most commonly needed numerical functions customized for your programming needs. The mathematical functionality is organized into eleven sections. These capabilities range from solving systems of linear equations to optimization.The IMSL Fortran Numerical Library includes routines that evaluate the special mathematical functions that arise in applied mathematics, physics, engineering and other technical fields. The mathematical special functions are organized into twelve sections.Mathematical Special FunctionsElementary Functions, including complex numbers, exponential functions and logarithmic functions.Trigonometric and Hyperbolic Functions, including trigonometric functions and hyperbolic functions.Exponential Integrals and Related Functions, including exponential integrals, logarithmic integrals and integrals of trigonometric and hyperbolic functions.Gamma Functions and Related Functions, including gamma functions, psi functions, Pochhammer’s function and Beta functions.Error Functions and Related Functions, including error functions and Fresnel integrals.Bessel Functions, including real and integer order with both real and complex arguments.Kelvin Functions, including Kelvin functions and their derivatives.Airy Functions, including Airy functions, complex Airy functions, and their derivatives.Elliptic Integrals, including complete and incomplete elliptic integrals.Elliptic and Related Functions, including Weierstrass P-functions and the Jacobi elliptic function.Probability Distribution Functions and Inverses, including statistical functions, such as chi-squared and inverse beta and many others.Mathieu Functions, including eigenvalues and sequence of Mathieu functions.The statistical functionality is organized into twenty sections. These capabilities range from analysis of variance to random number generation.Statistical FunctionalityBasic Statistics, including univariate summary statistics, frequency tables, and ranks and order statistics.Regression, including stepwise regression, all best regression, multiple linear regression models, polynomial models and nonlinear models.Correlation, including sample variance-covariance, partial correlation and covariances, pooled variance-covariance and robust estimates of a covariance matrix and mean factor.Analysis of Variance, including one-way classification models, a balanced factorial design with fixed effects and the Student-Newman-Keuls multiple comparisons test.Categorical and Discrete Data Analysis, including chi-squared analysis of a two-way contingency table, exact probabilities in a two-way contingency table and analysis of categorical data using general linear models.Nonparametric Statistics, including sign tests, Wilcoxon sum tests and Cochran Q test for related observations.Tests of Goodness-of-Fit and Randomness, including chi-squared goodness-of-fit tests, Kolmogorov/Smirnov tests and tests for normality.Time Series Analysis and Forecasting, including analysis and forecasting of time series using a nonseasonal ARMA model, GARCH (Generalized Autoregressive Conditional Heteroskedasticity), Kalman filtering, Automatic Model Selection, Bayesian Seasonal Analysis and Prediction, Optimum Controller Design, Spectral Density Estimation, portmanteau lack of fit test and difference of a seasonal or nonseasonal time series.Covariance Structures and Factor Analysis, including principal components and factor analysis.Discriminant Analysis, including analysis of data using a generalized linear model and using various parametric models.Cluster Analysis, including hierarchical cluster analysis and k-means cluster analysis.Sampling, including analysis of data using a simple or stratified random sample.Survival Analysis, Life Testing, and Reliability, including Kaplan-Meier estimates of survival probabilities.Multidimensional Scaling, including alternating least squares methods.Arrays: Array Creation RoutinesDensity and Hazard Estimation, including estimatesfor density and modified likelihood for hazards.Line Printer Graphics, including histograms, scatterplots, exploratory data analysis, empirical probabilitydistribution, and other graphics routines.Probability Distribution Functions and Inverses,including binomial, hypergeometric, bivariate normal,gamma and many more.Random Number Generation, including theMersenne Twister generator and a generator formultivariate normal distributions and pseudorandomnumbers from several distributions, including gamma,Poisson, beta, and low discrepancy sequence.Utilities, including CPU time used, machine,mathematical, physical constants, retrieval of machineconstants and customizable error-handling.Mathematical Support, including linear systems,special functions, and nearest neighbors.IMSL – Also available for C, Java™, and C# for .NetIMSL C Numerical LibraryThe IMSL C Numerical Library is a comprehensive set of pre-built, thread-safe mathematical and statistical analysis functions that C or C++ programmers can embed directly into their numerical analysis applications. Based upon the same algorithms contained in the flagship IMSL Fortran Numerical Library, the IMSL C Numerical Library significantly shortens program development time by taking full advantage of the intrinsic characteristics and desirable features of the C language. Variable argument lists simplify calling sequences while the concise set of required arguments contains only the information necessary for usage. Optional arguments provide added functionality and power to each function. You will find that using the IMSL C Numerical Library saves significant effort in your source code development and thousands of dollars in the design, development, testing and maintenance of your application.JMSL™Numerical Library for Java ProgrammersThe JMSL Numerical Library is a pure Java numerical library that operates in the Java SE or Java EE frameworks. The library extends core Java numerics and allows developers to seamlessly integrate advanced mathematical, statistical, financial, and charting functions into their Java applications. To build this library, Visual Numerics has taken individual algorithms and re-implemented them as object-oriented Java classes. The JMSL Library is 100% pure Java and, like all Visual Numerics products, is fully tested and documented, with code examples included. The JMSL Library also adds financial functions and charting to the library, taking advantage of the collaboration and graphical benefits of Java. The JMSL Library is designed with extensibility in mind; new classes may be derived from existing ones to add functionality to satisfy particular requirements. The JMSL Numerical Library can provide advanced mathematics in client-side applets, server-side applications, Java WebStart applications and desktop Java applications.IMSL C# Numerical Library for .Net ProgrammersThe IMSL C# Numerical Library is a 100% C# analytics library, providing broad coverage of advanced mathematics and statistics for the Microsoft® .NET Framework. The IMSL C# Numerical Library delivers a new level of embeddable and scalable analytics capability to Visual Studio™ users that was once only found in traditional high performance computing environments. This offers C# and Visual () developers seamless accessibility to advanced analyticscapabilities in the most integrated language for the .NET environment with the highest degree of programming productivity and ease of use with Visual Studio. Visual Numerics has taken C# to a new level by extending the mathematical framework of the language, significantly increasing the high performance analytics capabilities available for the .NET Framework. Classes such as a complex numbers class, a matrix class, as well as an advanced random number generator class provide a foundation from which advanced mathematics can be built. The IMSL C# Numerical Library can be used to write desktop Windows applications, server applications, and integrated with other components like Microsoft Excel 2003 applications using Visual Studio Tools for Office.CHAPTER 1:LINEAR SYSTEMSREAL GENERAL MATRICES (con’t)LFIRG Uses iterative refinement to improve the solution of a real general system oflinear equations.LFDRG Computes the determinant of a real general matrix given the LU factorizationof the matrix.LINRG Computes the inverse of a real general matrix.COMPLEX GENERAL MATRICESLSACG Solves a complex general system of linear equations with iterative refinement. LSLCG Solves a complex general system of linear equations without iterative refinement. LFCCG Computes the LU factorization of a complex general matrix and estimates itsL1condition number.LFTCG Computes the LU factorization of a complex general matrix.LFSCG Solves a complex general system of linear equations given the LU factorization of thecoefficient matrix.LFICG Uses iterative refinement to improve the solution of a complex general system oflinear equations.LFDCG Computes the determinant of a complex general matrix given the LU factorizationof the matrix.LINCG Computes the inverse of a complex general matrix.REAL TRIANGULAR MATRICESLSLRT Solves a real triangular system of linear equations.LFCRT Estimates the condition number of a real triangular matrix.LFDRT Computes the determinant of a real triangular matrix.LINRT Computes the inverse of a real triangular matrix.COMPLEX TRIANGULAR MATRICESLSLCT Solves a complex triangular system of linear equations.LFCCT Estimates the condition number of a complex triangular matrix.LFDCT Computes the determinant of a complex triangular matrix.LINCT Computes the inverse of a complex triangular matrix.REAL POSITIVE DEFINITE MATRICESLSADS Solves a real symmetric positive definite system of linear equations withiterative refinement.LSLDS Solves a real symmetric positive definite system of linear equations withoutiterative refinement.LFCDS Computes the R T R Cholesky factorization of a real symmetric positivedefinite matrix and estimates its L1condition number.LFTDS Computes the R T R Cholesky factorization of a real symmetric positive definite matrix. LFSDS Solves a real symmetric positive definite system of linear equations given theR T R Cholesky factorization of the coefficient matrix.LFIDS Uses iterative refinement to improve the solution of a real symmetric positive definitesystem of linear equations.LFDDS Computes the determinant of a real symmetric positive definite matrix given the R T RCholesky factorization of the matrix.LINDS Computes the inverse of a real symmetric positive definite matrix.REAL SYMMETRIC MATRICESLSASF Solves a real symmetric system of linear equations with iterative refinement.LSLSF Solves a real symmetric system of linear equations without iterative refinement. LFCSF Computes the U DU T factorization of a real symmetric matrix and estimates itsL1condition number.LFTSF Computes the U DU T factorization of a real symmetric matrix.LFSSF Solves a real symmetric system of linear equations given the U DU T factorizationof the coefficient matrix.LFISF Uses iterative refinement to improve the solution of a real symmetric system oflinear equations.LFDSF Computes the determinant of a real symmetric matrix given the U DU Tfactorization of the matrix.COMPLEX HERMITIAN POSITIVE DEFINITE MATRICESLSADH Solves a Hermitian positive definite system of linear equations withiterative refinement.LSLDH Solves a complex Hermitian positive definite system of linear equationswithout iterative refinement.COMPLEX HERMITIAN POSITIVE DEFINITE MATRICES (con’t)LFCDH Computes the R H R factorization of a complex Hermitian positive definite matrix andestimates its L1condition number.LFTDH Computes the R H R factorization of a complex Hermitian positive definite matrix.LFSDH Solves a complex Hermitian positive definite system of linear equations giventhe R H R factorization of the coefficient matrix.LFIDH Uses iterative refinement to improve the solution of a complex Hermitian positivedefinite system of linear equations.LFDDH Computes the determinant of a complex Hermitian positive definite matrix giventhe R H R Cholesky factorization of the matrix.COMPLEX HERMITIAN MATRICES:LSAHF Solves a complex Hermitian system of linear equations with iterative refinement.LSLHF Solves a complex Hermitian system of linear equations without iterative refinement. LFCHF Computes the U DU H factorization of a complex Hermitian matrix and estimatesits L1condition number.LFTHF Computes the U DU H factorization of a complex Hermitian matrix.LFSHF Solves a complex Hermitian system of linear equations given the U DU Hfactorization of the coefficient matrix.LFIHF Uses iterative refinement to improve the solution of a complex Hermitiansystem of linear equations.LFDHF Computes the determinant of a complex Hermitian matrix given the U DU Hfactorization of the matrix.REAL BAND MATRICES IN BAND STORAGE MODELSLTR Solves a real tridiagonal system of linear equations.LSLCR Computes the L DU factorization of a real tridiagonal matrix A using a cyclicreduction algorithm.LSLRB Solves a real system of linear equations in band storage mode without iterative refinement. LFCRB Computes the LU factorization of a real matrix in band storage mode and estimates itsL1condition number.LFTRB Computes the LU factorization of a real matrix in band storage mode.LFSRB Solves a real system of linear equations given the LU factorization of thecoefficient matrix in band storage mode.LFIRB Uses iterative refinement to improve the solution of a real system of linear equations inband storage mode.LFDRB Computes the determinant of a real matrix in band storage mode given theLU factorization of the matrix.REAL BAND SYMMETRIC POSITIVE DEFINITE MATRICES IN BAND STORAGE MODELSAQS Solves a real symmetric positive definite system of linear equations in bandsymmetric storage mode with iterative refinement.LSLQS Solves a real symmetric positive definite system of linear equations in bandsymmetric storage mode without iterative refinement.LSLPB Computes the R T DR Cholesky factorization of a real symmetric positive definite matrix Ain codiagonal band symmetric storage mode. Solves a system Ax = b.LFCQS Computes the R T R Cholesky factorization of a real symmetric positive definite matrix inband symmetric storage mode and estimates its L1condition number.LFTQS Computes the R T R Cholesky factorization of a real symmetric positive definite matrix inband symmetric storage mode.LFSQS Solves a real symmetric positive definite system of linear equations given thefactorization of the coefficient matrix in band symmetric storage mode.LFIQS Uses iterative refinement to improve the solution of a real symmetric positivedefinite system of linear equations in band symmetric storage mode.LFDQS Computes the determinant of a real symmetric positive definite matrix given the R T RCholesky factorization of the band symmetric storage mode.COMPLEX BAND MATRICES IN BAND STORAGE MODELSLTQ Solves a complex tridiagonal system of linear equations.LSLCQ Computes the LDU factorization of a complex tridiagonal matrix A using acyclic reduction algorithm.LSACB Solves a complex system of linear equations in band storage mode withiterative refinement.LSLCB Solves a complex system of linear equations in band storage mode withoutiterative refinement.LFCCB Computes the LU factorization of a complex matrix in band storage modeand estimates its L1condition number.。
科技英语部分课后练习答案
III: Text Organization
Part I (1-3):
A multibillion-dollar craft called the Crew Exploration Vehicle (CEV).
Part II (4-7): David Gump and Gary Hudson;
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III: Translation
11.每个化学元素在周期表中都有一定的原子数和 位置,可以据此来推测其特性:如何同别的元素 相互作用,能形成什么样的化合物,以及它的物 理属性。
12.固体加热到足够温度时,它所含的电子就会有 一部分离开固体表面而飞到周围的空间中去;这 种现象称为热电子放射;通常,电子管就利用这 种现象产生自由电子。
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II: Abstract Correction
The current calibration methods of the projectilevelocity measurement system are introduced, and the problem and the unreasonableness of these methods are analyzed. Based on the principle of the mathematical statistics, the calibration method is investigated that measures the projectile-velocity at the same time by the multi-group zone-block device is unbiased, uniform and efficient and uses the average of the measured value as the true value of the projectile-velocity at the point.
最小二乘法的英文书籍
最小二乘法的英文书籍The Method of Least SquaresThe method of least squares is a statistical technique used to determine the line of best fit for a set of data points. This method is widely used in various fields of study, including engineering, physics, economics, and social sciences, to analyze and interpret data. The basic principle behind the method of least squares is to minimize the sum of the squared differences between the observed values and the predicted values. In other words, the method aims to find the line or curve that best represents the relationship between the independent and dependent variables in a dataset.The history of the method of least squares can be traced back to the early 19th century, when it was independently developed by several mathematicians and scientists. The most notable contributors to the development of this method include Carl Friedrich Gauss, Adrien-Marie Legendre, and Thomas Bayes. Gauss, in particular, is credited with the formalization and widespread use of the method, which he applied to various problems in astronomy and physics.The method of least squares is based on the assumption that theerrors or deviations between the observed values and the predicted values are normally distributed, with a mean of zero and a constant variance. This assumption is known as the Gauss-Markov assumption, and it is crucial for the validity of the method's statistical properties.The process of applying the method of least squares involves the following steps:1. Identify the independent and dependent variables: The first step in using the method of least squares is to identify the variables that are being studied. The independent variable (or variables) is the factor that is being manipulated or controlled, while the dependent variable is the outcome or response that is being measured.2. Collect the data: Once the variables have been identified, the next step is to collect the data. This typically involves measuring the values of the independent and dependent variables for a set of observations or data points.3. Fit the line of best fit: The method of least squares is used to determine the line or curve that best fits the data. This is done by minimizing the sum of the squared differences between the observed values and the predicted values. The resulting line or curve is known as the line of best fit or the regression line.4. Interpret the results: After the line of best fit has been determined, the next step is to interpret the results. This may involve calculating the slope and intercept of the line, as well as the goodness of fit, which measures how well the line of best fit represents the data.The method of least squares has several important properties that make it a powerful tool for data analysis. First, the method is unbiased, meaning that the predicted values are, on average, equal to the true values. Second, the method is efficient, in the sense that it produces the smallest possible variance of the predicted values. Finally, the method is consistent, which means that as the number of data points increases, the predicted values converge to the true values.Despite its many advantages, the method of least squares also has some limitations. For example, the method assumes that the errors are normally distributed and have constant variance, which may not always be the case in real-world data. Additionally, the method is sensitive to outliers, which can have a significant impact on the resulting line of best fit.In recent years, the method of least squares has been extended and refined to address some of these limitations. For example, robust regression techniques have been developed to deal with outliers, while Bayesian methods have been used to incorporate priorinformation into the analysis.Overall, the method of least squares is a powerful and widely used tool for data analysis. Its ability to identify the line or curve that best represents the relationship between variables makes it an essential tool in a wide range of scientific and mathematical disciplines.。
hybrid method
hybrid methodHybrid MethodHybrid Method is a powerful technique that has been used in many areas of research and development, including optimization, simulation, control, and machine learning. A hybrid method combines the strengths of both numerical and symbolic methods to develop an efficient and accurate algorithm. In this article, we will discuss the basic concept, applications, advantages, and limitations of the Hybrid Method.Basic Concept of Hybrid MethodA hybrid method combines the numerical power of mathematical modeling and the symbolic power of algorithmic approach. It is designed to tackle difficult problems that are beyond the reach of traditional numerical and symbolic methods. Hybrid method is a methodology that integrates numerical and symbolic algorithms in a single algorithmic framework. It combines the numerical accuracy of numerical methods with the symbolic reasoning ofsymbolic methods, thus providing a powerful toolfor solving complex problems.Applications of Hybrid MethodHybrid method has wide applications in many areas. For example, in optimization problems,hybrid methods are used to combine the strengths of different optimization techniques such as linear programming, genetic algorithms, and simulated annealing. This combination of methods results in a more efficient and effective optimization method. Hybrid methods are also used in control systems, especially for modeling and control of complex systems such as power plants, chemical plants, and robotics.In machine learning, hybrid methods are used in the development of intelligent algorithms, such as support vector machines, deep learning, anddecision trees. These algorithms combine the advantages of both numerical and symbolic approaches, resulting in better accuracy and performance. Hybrid methods are also used in simulation, particularly in the simulation ofphysical systems, where mathematical models and simulations are combined to create a more accurate and realistic simulation.Advantages of Hybrid MethodThe main advantage of hybrid method is its ability to tackle complex problems that are beyond the reach of traditional methods. Hybrid methods are capable of handling problems that are mathematically complex, computationally intensive, or have high dimensionalities. The hybrid method also provides a robust and flexible framework that can handle different types of problems and data structures.Hybrid methods provide accurate and efficient solutions by combining the strengths of different approaches. They allow for a more holistic understanding of the problem by utilizing multiple perspectives. Additionally, these methods are extensible, meaning that they allow for the integration of new techniques and algorithms as they become available.Limitations of Hybrid MethodDespite the many advantages of hybrid methods, they also have some limitations. First, hybrid methods can be computationally intensive, and they may require high-performance computing resources. Additionally, these methods may be difficult to implement and may require specialized expertise. As such, they may not be accessible to less experienced users or those without access to advanced computing resources.Another limitation is that hybrid methods may not always result in the best solution. Although hybrid methods can provide accurate and efficient solutions, they may not always be the optimal solution. This is because the hybrid method relies on combining multiple methods, and the final solution can depend on the specific combination of methods used. Additionally, the hybrid method may not always be the most transparent approach. This means that it may be difficult to understand why the algorithm produced a particular result.ConclusionHybrid Method is an important and valuable technique that has been widely used in various fields of research and development. The hybrid method combines the strengths of both numerical and symbolic methods to develop an efficient and accurate algorithm. The hybrid method has been used in optimization, simulation, control, and machine learning. It provides accurate and efficient solutions by combining the strengths of different approaches. Although hybrid methods have limitations, they are still an essential tool for solving complex problems. As such, hybrid methods remain an important area of research and development, and we can expect to see continued growth and application of this technique in the future.。
硅单晶生长热场仿真研究英文文献
硅单晶生长热场仿真研究英文文献English:The simulation research on the thermal field of silicon single crystal growth is of great significance for optimizing the crystal growth process and improving the quality of the single crystal. In recent years, with the development of computational fluid dynamics (CFD), finite element method (FEM) and other numerical simulation technologies, the simulation of the thermal field in the silicon single crystal growth process has made great progress. The simulation research mainly focuses on the temperature distribution, heat transfer, fluid flow and other physical phenomena in the growth system. Through the simulation analysis, the relationship between the growth process parameters and the thermal field distribution can be obtained, so as to optimize the growth process and reduce the influence of thermal stress on the crystal quality. In addition, the simulation research also provides a theoretical basis for the design and optimization of the temperature field control system in the crystal growth equipment, which is of great significance for promoting the stable and efficient growth of silicon single crystals.中文翻译:对硅单晶生长热场的仿真研究对于优化晶体生长过程、提高单晶质量具有重要意义。
研究生机械工程专业英语考试必背单词
单词Lesson 1Gear 齿轮, 传动装置Bearing 轴承Cams 凸轮Cams and followers 凸轮和从动件Couple 力偶mechanics 力学statics 静力学,静止状态dynamics动力学,原动力,动力特性constraint forces 约束力applied forces 作用力Electric ,magnetic,and gravitational forces 电,磁,重力mating surface 啮合表面,配合表面,接触面meshing 啮合,咬合,钩住meshing teeth 啮合齿journal bearing 滑动轴承,向心滑动轴承metal-to—metal contact 金属- 金属接触Overheating 过热failure 失效flaking 薄片,表面剥落,压碎Spall 削,割,剥落,脱皮noise 噪音rough motion运动不精确inertia惯性particle 质点rigid body刚体deformable可变形的,应变的deformable Body 变形体Scalar 数量的,标量的Vectors矢量Density密度Mass质量Displacement位移Velocity速度Acceleration加速度Moment力矩,弯矩Momentum动量,冲量Lesson 2Compressive压缩的,有压力的Turning 车削Rectilinear直线的micrometer 千分尺又称螺旋测微器Power hacksaws 弓锯床Shaper牛头刨床Thread 螺纹Work:功muscular action肌肉动作mechanical motion机械运动stretch an object拉伸对象tensile force:拉力in tension:受拉compressive force:压力torsional force:扭力torque:扭矩shearing force :剪切力twist an object扭曲对象Slide滑,脱落Slip滑动,滑移in compression受压turning of a part对一个零件进行车削加工wedging action:楔入作用chip :切屑centers of the lathe车床的顶尖lathe dog车床夹头centrifugal force :离心力grinding wheel :磨削砂轮bonding agent :粘合剂abrasive particle:磨料颗粒centrifuge-type machines离心式机械Centrifuge离心机,离心作用Centrifugal force principles离心力原理centripetal force :向心力rotary motion:回转运动rectilinear motion:直线运动hand tool手工工具power tool动力工具feed:进给shaping:采用牛头刨床(shaper)进行刨削加工power saw:弓锯床,弓式锯床the screw of a micrometer 意为“千分尺中的螺杆" harmonic and intermittent motion :谐和运动和间歇运动simple harmonic motion :简谐运动return stroke:快速回程shaper ram:刨床滑枕Pulley滑轮Screw螺丝钉Belt带Link链Lesson 3Interactive互相作用的Iterative重复的, 反复的, 迭代的Pinpoint 精确地定位或确认Equilibrium 平衡,均衡Tractable 易于处理或操作的Order of magnitude 数量级Ideally理想的情况下so as to为了with any precision很少精确idealize理想化idealization 理想化strength of materials材料力学Dynamics动力学Approximations近似值be inherent in为、、、所固有,是、、、的固有性质Render提出,给予,描绘degrading the result使结果降级pertinent有关prohibitive令人望而却步Influx流入,注入,涌进,汇集Lesson 5Sprocket链轮snap ring 卡环Universal joints万向联轴器Self—aligning bearing 调心轴承,球面轴承, 自位轴承Dry ice干冰Shot—peening喷丸硬化处理Pin销Key键Spline花键Couplings联轴器nondriving wheel非驱动轮idler gear空转齿轮,换向齿轮be subjected to承受Fluctuate变动,波动,起伏alternating bending stress交变弯曲应力deflections挠度lateral shaft deflection横向轴的挠度angular deflection角偏转non—self- aligning bearings非自调心轴承Torsional deflection扭转变形critical speed临界速度Attachment of the hub毂的附件Keyway键槽Axial轴向Circumferential圆周方向Positioning定位Retaining固定retaining ring定位环hub—to-shaft attachments轮毂与轴之间的连接interference fit过盈配合hub bore毂孔bending moment弯矩cold-rolling冷轧relative slope相对倾斜Journal轴颈plain bearing 滑动轴承Lesson 6Clutch 离合器Brake 制动器Friction 摩擦Chain 链,链条Timing belt 同步带Belt drive 带传动coefficient of friction摩擦系数rayon人造纤维timing belt同步带V-belt drive V带传动Foregoing在前的,前述的fatigue life疲劳寿命power transmitted电力传输rotatable shaft可以转动的轴,从动轴rotating shaft转动轴,主动轴input shaft输入轴output shaft输出轴unloaded state空载状态Rotor转子rotational inertia转动惯量torque capacity 扭矩容量kinetic and potential energy动能和势能provision 规定thermal capacity 热容量thermal stress热应力thermal distortion热变形rubbing velocity摩擦速度Lining内衬,衬套empirical value经验值Chain drives链传动gear drives齿轮传动speed ratio速比shaft separation distance轴间隔距离arbitrary center distance任意的中心距positive (no slip)drive强制(无滑动)传动synchronized motion同步运动conveyor systems,farm machinery, textile machinery传送带系统,农用机械,纺织机械chain loop链环40-kW power ratings :40千瓦的额定功率Lesson 9Ceramic bearing 陶瓷轴承Silicon硅Titanium 钛Adherence 粘附,附着gas turbine engines 燃气涡轮发动机liquid lubricant液体润滑剂Exploit利用,发挥,使用Tribological 摩擦学的ceramic rolling bearing陶瓷滚动轴承thermo-mechanical热机械Tool steel工具钢Aeroengine航空发动机practical temperature limit 实际的温度上限virtual exclusion虚拟排斥hot pressed 热压hot isostatically pressed 热等静压的silicon nitride Si3N4rolling contact fatigue滚动接触疲劳low fracture toughness低的断裂韧性coefficient of thermal expansion热膨胀系数thermal conductivity导热系数thermal diffusivity热扩散系数,温度扩散率oxidation resistance抗氧化性Hertzian contact stresses 赫兹接触应力Solid lubricant固体润滑剂synthetic lubricant合成润滑剂unconventional lubricant非常规润滑剂boundary lubrication边界润滑wear resistance耐磨性tribo—chemical film摩擦化学膜Shear剪切,切断heat stable热稳定Imperative命令,绝对必要的,必不可少的Lesson 14Melting point熔点Specific heat比热Specific gravity比重Shrink fit 冷缩配合,收缩配合thermal conductivity热导率,导热率thermal expansion热膨胀corrosion resistance耐蚀性reduce inertial force减小惯性力Substitution 替换recrystallization temperature再结晶温度Annealing退火heat treating热处理hot working热加工minor 微小的surface roughness 表面粗糙度Metallurgical冶金学的Titanium钛thermal gradient热梯度relative expansion相对膨胀glass—to-metal seals玻璃- 金属密封件Shrink fit冷缩配合,收缩配合Deterioration恶化,变质,退化Degradation降解,老化,退化petroleum 石油elevated temperature高温Alkalis碱oxygen,moisture, pollution,and acid rain氧气,湿气,污染和酸雨Nonferrous metals, stainless steels,and nonmetallic materials,有色金属,不锈钢,和非金属材料cast iron铸铁chromium铬protective film保护膜Lesson 28Basic size基本尺寸Deviation偏差Interchangeable互换性Interchangeability互换性Unilateral, bilateral, and limit forms。
不连续伽列金方法简介
不连续伽列金方法简介Discontinuous GalerkinThe discontinuous Galerkin (DG) method is often referred to as a hybrid, or mixed, method since it combines features of both finite element and finite volume methods. The solution is represented within each element as a polynomial approximation (as in FEM), while the interelement convection terms are resolved with upwinded numerical flux formulas (as in FVM). Theoretically, solutions may be obtained to an arbitrarily high order-of-accuracy.While the discontinuous Galerkin method was developed in the early 1970's, it was not used for CFD simulations until the early 1990's when it was first used to solve the Euler equations by Cockburn and Shu. The solution of the Navier-Stokes equations with the DG method was first accomplished by Bassi and Rebay in 1997. As the method gained more attention in the CFD research community, further advances have come fairly rapidly. Researchers are now using the DG method to perform simulations of a wide variety of flow regimes. The method has been adapted for use with compressible and incompressible, steady and unsteady, as well as laminar and turbulent conditions.In addition to being arbitrarily higher-order accurate, the discontinuous Galerkin also permits the formulation of very compact numerical schemes. The is due to the fact that the solution representations in each element are purposefully kept independent of the solutions in other cells, with inter-element communication occurring only with adjacent cells (elements sharing a common face). This characteristic, along with other favorable numerical properties, makes this method extremely flexible (easily handling a wide variety of elementtypes and mesh topologies) and also allows a number of adaptive techniques (both h- and p- refinement) and solver acceleration strategies to be implemented in a rather straightforward manner.Derivation for Hyperbolic Conservation LawsThe discontinuous Galerkin method is derived from the finite element method, which is itself a variational method. To obtain the governing equations for the DG method, we begin with the strong form of the hyperbolic conservation laws:Here, is an array of conserved quantities, and is an array of flux vectorsdescribing the local transport of . is an array of source terms which represents the (non-conservative) production or destruction of the conserved quantities. Following the variational techniques employed in the finite element method, this expression then ismultiplied by a test function and integrated over the domain of interest. This results in the so-called weak form.Communication with the boundary conditions are established by performing an integration by parts on the second term.This form is typically the starting point for most integral based methods, including the finite volume and finite element methods. (To obtain the finite volume method, simply set.) It is the decisions made at this point that ultimately determine the type of numerical scheme used to solve this system of equations.Nearly all numerical techniques will choose to discretize the domain of interest into a setof non-overlapping elements such that . Thus the above integrals can be distributed over the elements.The next choice concerns the representation of the solution state within each element. The finite element method is able to achieve higher-orders of accuracy by representing the solution state as a collection of polynomial functions. Depending on how these polynomials are specified, the local description of the solution may possess certain desirable propertiessuch as or continuity. These continuity constraints typically require the local solution state in each element to be dependent on a number of degrees of freedom which are often distributed over some neighborhood of the element.In contrast to most other finite element techniques, the discontinuous Galerkin method specifies that there be no explicit continuity requirements for the the solution representation at the element boundaries. The solutions state is represented by a collection of piecewise discontinuous functions. Formally, this is accomplished by setting the basis (orshape) functions within each element to zero everywhere outside of their associatedelement. Thus, the representation of the current solution state within each element iscompletely determined by a set of coefficients which are unique to that element and is independent of the solution state in all other elements.For Galerkin methods, the test functions in the governing equations are taken from the same set of functions used to describe the solution. Since these functions are nonzero in at most one element, then all of the volume integrals in the resulting system of equations need only be evaluated in one and only one element. Due to the discontinuous nature of the solution, however, the surface integrals in the above equations will be double valued.where is the set of interior faces, and is the set of boundary faces. This situation can be neatly resolved through the use of upwinded numerical flux functions, similar to those employed by the finite volume method.where . We take note thatand rewrite the governing equations aswhere is taken as the outward facing normal for and andare, respectively, the interior and boundary faces of . is thesolution state in the element which shares face and is the solution state imposed by a given boundary condition.Diffusive OperatorsThe following are known methods for dealing with diffusive flux terms.▪Interior Penalty (IP) -- Arnold▪Lifting Operators (BR2) -- Bassi and Rebay▪Baumann-Oden (BO) -- Baumann and Oden▪Local Discontinuous Galerkin (LDG) -- Cockburn and Shu▪Recovery -- van Leer and Nomura▪Compact Discontinuous Galerkin (CDG) -- Peraire and Persson。
Leica DMIL倒置显微镜说明书
Leica DM ILInverted Microscope –for all Routine and Laboratory Applications2Leica Design by Ernest Igl /Christophe ApothélozLeica DM IL – compact inverted microscope for laboratory routine The new inverted Leica microscope blends ergonomy, a compactdesign and effective contrasting methods into a system for virtuallyunlimited life science applications.The integration of Leica HCS* optics extends the range of objectivesfor inverted microscopy.For the first time, high-quality relief contrast can be producedwithout special objectives with our new Integrated ModulationContrast (IMC) technique.Optimised phase contrast and brilliant incident light fluorescencemake the Leica DM IL the number one choice in contrastingmicroscopes.3With its unbeatable modularity, ergonomy and free view of thespecimen, teamed with newly developed and optimised contrastingtechniques, the Leica DM IL offers you a top level introduction toinverted microscopy.The adaption of the Leica DM IL to infinity optics allows theintegration of Leica HCS* components for superb image resolution,brilliant contrast and precise colour rendering. The DM IL is theinverted equivalent of our successful upright DM microscopes ofthe L and R class.The Leica DMIL is a microscope for all applications in microbiologyor the cell culture laboratory. A universal inverted microscope forroutine use: stable and space-saving, flexible and upgradablewith optics from Leica’s research microscopes.* Harmonic Component System Microinjection of oocytes in mouseRNA microinjection of frog oocytes(Xenopus)4The stand The stand of the Leica DM IL microscope is stable, aluminium-cast and excellently designed. There are two versions for biological applications:The DM IL for brightfield, phase and modulation contrast and the DM IL with additional incident light fluorescence unit.Appreciated by users for many years, the stable T-shaped micro-scope base offers plenty of valuable space round the microscope and ensures comfortable, fatigue-free microscopy. The micro-scope’s footprint is optimised to provide the necessary room for experiments, and all controls are ergonomically located. Many different components can be adapted to suit individual require-ments. The high stability, low centre of gravity and four vibration damping feet eliminate vibrations even in extreme conditions. The excellent stability of the DM IL also makes it the ideal solution for photography with long exposure times. In addition, finite element calculations and thorough practical testing in a wide variety of applications guarantee focusing which is not only ultra precise but also stable over long periods of time.The Leica DMIL contrasting microscopeThe System Discussion unitCardiac muscle cells5Due to its modularity, the Leica DM IL is particularly suitable forliving cell microscopy.Its modern, practical design, the integration of state-of-the-art,top quality optics and the excellent standard of the adaptedcontrasting techniques prove useful in research tasks as well asroutine applications.You will be convinced by the DM IL’s first-class technology andmany innovative and practical ideas.We at Leica believe microscopy should be a pleasurable experienceand designed the DM IL to be associated with enjoyment at thelaboratory workplace.Trinocular tube with DC 100Ergonomic phototubeTrinocular tube with MPS DM IL with illumination column the other way round6Nosepiece focusingSamples are focused with the quadruple objective nosepiece.The reliability, stability and precision of the focusing is not influenced by the microscope stage and the samples on it or by accessory components such as the object guide and manipulators.Illumination system The compact brightfield illumination unit is attached to a column and can be comfortably adjusted. Setting the correct height for the condenser used or the specimen on the stage is facilitated by markings along the column. The pre-centred, extremely powerful 6V 35W halogen lamp provides optimal illumination even of critical specimens. The transmitted light illumination concept is rounded off by the integration of the contrast slide (for phase and modulation contrast), the module for light filters with 32 mm diameter and the aperture diaphragm. The microscope stage with illumination arm can be turned round by 180°and is freely accessable for sample positioning from three sides.Light filters The filter module on the illumination column accommodates 32 mm diameter filters in a spoon-shaped holder. We are constantly adding to our wide range of filters, enabling you to selectively optimise the illumination for observation and image documentation.Built-in 6V 35W power supply The 6V 35W power supply, which provides the full lamp power including on/off switch, status indicator and brightness adjustment,is fully integrated in the microscope stand. Apart from the ergonomic advantages, this saves space on the microscope desk and allows the microscope to be easily picked up as a unit and moved elsewhere.The Technology7CondensersThe Leica DM IL offers you a choice of two condensers.The S 90/0.23 condenser with a free working distance of 90 mm and a numerical aperture of 0.23 is designed for brightfield and phase contrast and is particularly suitable for specimens in bulky laboratory vessels.The S 55/0.35 condenser with a free working distance of 55 mm and a numerical aperture of 0.35 for bulky containers is designed for brightfield, phase and integrated modulation contrast (IMC)and is particularly suitable for higher magnifications or thick specimens.Without a condenser, the maximum free working distance is 200 mm.Stage and accessoriesThe DM IL offers a wide variety of stages with a whole array of accessories and different inserts for your specimen vessels:The standard stage is a fixed stage plate of 252 x 212 mm. The stage can be widened by 70 mm on both sides by adapter plates. The interchangeable stage inserts (20-50 mm) allow smaller petri dishes to be used as well without losing the focus when the objective nosepiece is rotated.Object guides can be attached to both the left and right of the stage and have a minimum adjustment range of 83 x 127 mm. The control of the coaxial drive is in an ergonomically low position so that you can rest your hands on the desk while scanning specimens.The object guides accommodate special and multi-purpose frames for all types of culture vessels.A heating stage up to max. 45°C, a 3-plate mechanical stage and scanning stages round off the range of stages for the DM IL.Micromanipulation ...... and scanning stage8DM LB tubeEyepieces and objectivesThe optics are the heart of every microscope and decisive for the quality of information. We have set new standards here by intro-ducing our HC optics.The Leica DM IL is designed for brightfield, phase contrast, Inte-grated Modulation Contrast (IMC) and incident light fluorescence.All infinity-corrected high performance objectives in the Leica range with 25 mm screw thread are compatible with the DM IL microscope.Even earlier-type Leica objectives can be adapted for use on the DM IL. We offer a wide range of special objectives for inverted microscopy applications with long free working distances (L objectives) and/or with correction mounts (Corr objectives) to compensate for different vessel thicknesses. The latest Leica optics brochure features our whole range of objectives.Depending on the tube configuration, there is a wide choice of eyepieces with magnifications 10x, 12.5x, 15x, 16x or 25x, suitable for fields of view up to 20 mm. Besides special high-point eyepieces for eyeglass wearers, we also supply eyepieces with adjustable eyelens (M eyepieces), into which different types of graticule can be inserted.The DM IL range also comprises many different observation and photo tubes. The tubes are interchangeable and can be individually rotated by 360°in the tube mount and then fixed in position. All tubes are fitted with an infinity tube lens 1x. The following tubes are used on the DM IL:•Binocular tube ILB, with 45°viewing angle, for eyepieces with 23.2 mm outer diameter •Trinocular (photo)tube ILT, with 45°viewing angle, for eyepieces with 23.2 mm outer diameter, with vertical photo/TV exit with switchable light path for either 100% visual or 100% photo/TV.The position of the photo/TV exit 88 mm to the side of the tube has the special advantage that it allows an unobstructed view of the specimen.Other tubes from the Leica DM L range can be used via an IL/L adapter:•Binocular tube HC LB 45°viewing angle •Binocular tube HC LVB 0-35°ergotube •Trinocular (photo)tube HC L1T 45°viewing angle •Trinocular (photo)tube HC L3T 45°viewing angle •Trinocular (photo)tube HC LV1T 0-35°ergotubeThe Optics351+364 mn UVAr 488mn 568mn 647mn Ar/Kr 4905205575766486703504004505005506006507009Developments in diagnostics and med./biol. research (e.g. fluores-cence applications) and the increasing use of video technology and electronic image processing have to be paralleled by intelligent technical adaptations of the microscope system.The new HCS optics concept introduced with the Leica DM R microscope meets this requirement. It is the result of an integral system consideration, harnessing all technological potential.The abbreviation HCS stands for Harmonic Component System.Its special features are:•well-balanced optical and mechanical fitting dimensions•harmonious balance of all optical system components, i.e. the parameters contributing to the microscope’s performance (objectives, tube lenses, tubes, eyepieces, TV cameras/adapters,etc.) have been harmonised throughout the entire optic system.This has created scope for even greater optical opportunities.The HCS system is the answer to your application requirements not only today, but in future, too.Rat testicles, IMC10The Leica DM IL is the microscope for all requirements in the cell culture lab. A universal inverted microscope for routine application: stable and space-saving, flexible and upgradable with optics from Leica research microscopes.BrightfieldThe whole range of objectives from 4x-100x magnification can be used for brightfield applications. Samples in almost any kind of vessel can be examined with or without a condenser, while a 6V 35W halogen lamp ensures optimal illumination.Phase contrastIn vivo/ in vitro microscopy specimens are mostly living cultures or microorganisms and are examined under sterile conditions. Contrast of the transparent tissue can only be enhanced by optical methods.Phase contrast is a useful technique for high-contrast imaging of unstained specimens. The phase contrast technique used by Leica on the DM IL has been optimised for inverted microscopy applications and produces equally excellent contrast in watery solutions and of dry preparations in petri dishes.Spinal cord, catContrastingLymphocyte toxicity testdouble staining, strongly positiveLymphocyte toxicity testdouble staining, weakly positive11Human brain Femtotip microinjection needle (Photo: Eppendorf)FibroblastsIMC (Integrated Modulation Contrast)The innovative technique of Integrated Modulation Contrast (IMC)now introduced by Leica in the DM IL is based on Hoffman’sprinciple and produces this contrast without the need for specialobjectives–ordinary brightfield or phase contrast objectives canbe used. The Leica IMC provides a high-contrast, 3D image oftransparent objects similar to that of interference contrast. Plasticculture vessels do not impair the quality of the image as thetechnique is polarisation-neutral.The diaphragm slide on the side of the illumination and theswitchable modulator in the intermediate image of the pupilproduce the type of contrast named after Hoffman without modi-fying the objectives. High contrast, high resolution, a halo-freerelief image of either stained or unstained specimens make Leica’sIMC a new standard in the class of inverted routine microscopy.FluorescenceThe fluorescence model of the DM IL reflects the growing signifi-cance of fluorescence for in vivo/in vitro microscopy. The maincomponents of this configuration are an incident light axis integrat-ed in the microscope stand, incorporating a fluorescence slide forthree filter cubes. A wide range of light sources with multi-lens,chromatically corrected collectors brighten up even the weakestfluorescence. The fluorescence filter cubes comprise an optimallymatched combination of excitation, reflection, band-pass andbarrier filters. We are constantly updating our range of filtercubes to keep pace with the latest challenges in biology andmedicine.Transmitted light techniques can be used simultaneously or inalternation in order to clearly allocate fluorescent and non-fluorescent structures.The Leica DM IL offers you a powerful system for immunology,cytopathology, virology – in fact wherever fluorescence techniquesare used in combination with inverted microscopy.Leica Microsystems – the brand for outstanding products Microscopes Compound Stereo Surgical Laser Scanning Photomicrography Video Microscopy Measuring Microscopes Advanced Systems Image Analysis Spectral Photometry Automated Inspection Stations Measurement Systems Electron Beam Lithography Laboratory equipment Tissue Processors Embedding Systems Routine- & Immunostaining Coverslippers Refractometers Microtomes Sliding, Rotary & Disc Cryostats Ultramicrotomes EM Sample Preparation Leica Microsystems’ Mission is to be the world’s first-choice provider of innovative solutions to our customers’ needs for vision, measurement, lithography and analysis of microstructures.Leica, the leading brand for microscopes and scientific instruments, has developed from five brand names, all with a long tradition: Wild, Leitz, Reichert, Jung and Cambridge Instruments. Leica symbolizes not only tradition, but also innovation.Leica Microsystems – an international company with a strong network of customer servicesAustralia:North Ryde/NSW Tel. +61 2 9879 9700Fax +61 2 9817 8358Austria:Vienna Tel. +43 1 495 44 160Fax +43 1 495 44 1630Canada:Willowdale/Ontario Tel. +1 416 497 2860Fax +1 416 497 8516Denmark:Herlev Tel. +45 4454 0101Fax +45 4454 0111Finland:Espoo Tel. +358 9 6153 555Fax +358 9 5022 398France:Rueil-Malmaison Tel. +33 1 473 285 85Fax +33 1 473 285 86CedexGermany:Bensheim Tel. +49 6251 136 0Fax +49 6251 136 155Italy:Milan Tel. +39 0257 486.1Fax +39 0257 40 3273Japan:Tokyo Tel. +81 3 5435 9600Fax +81 3 5435 9618Korea:Seoul Tel. +82 2 514 65 43Fax +82 2 514 65 48Netherlands:Rijswijk Tel. +31 70 4132 100Fax +31 70 4132 109Portugal:Lisbon Tel. +351 1 388 9112Fax +351 1 385 4668Republic of China:Hong Kong Tel. +852 2564 6699Fax +852 2503 4826Singapore:Tel. +65 779 7823Fax +65 773 0628Spain:Barcelona Tel. +34 93 494 95 30Fax +34 93 494 95 32Sweden:Sollentuna Tel. +46 8 625 45 45Fax +46 8 625 45 10Switzerland:Glattbrugg Tel. +41 1 809 34 34Fax +41 1 809 34 44United Kingdom:Milton Keynes Tel. +44 1908 246 246Fax +44 1908 609 992USA:Deerfield/Illinois Tel. +1 847 405 0123Fax +1 847 405 0030and representatives of Leicain more than 100 countries.Leica Microsystems Wetzlar GmbH Ernst-Leitz-Straße D-35578 Wetzlar (Germany)Tel. +49 (0)6441-290Fax +49 (0)6441-292599 ©L e i c a M i c r o s y s t e m s W e t z l a r G m b H •E r n s t -L e i t z -S t r a ße •35578 W e t z l a r •T e l. (06441) 29-0 •F a x (06441) 29-2599 G e d r u c k t a u f c h l o r f r e i g e b l e i c h t e m P a p i e r .B e s t e l l -N u m m e r n d e r A u s g a b e n i n : D e u t s c h 913 761•E n g l i s c h 913 762 •F r a n z ös i s c h 913 763 •I t a l i e n i s c h 913 764 •S a c h -N r . 501-068 G e d r u c k t i n D e u t s c h l a n d X I /98/A X /B .H .。
机械制造业常用英语单词
英语参考资料一、英语缩写及对应中文ABC: 作业制成本制度(Activity-Based Costing)ABB: 实施作业制预算制度(Activity-Based Budgeting)ABM: 作业制成本管理(Activity-Base Management)APS: 先进规画与排程系统(Advanced Planning and Scheduling)ASP: 应用程序服务供货商(Application Service Provider)ATP: 可承诺量(Available To Promise)BOM: 物料清单(Bill Of Material)BPR: 企业流程再造(Business Process Reengineering)BSC: 平衡记分卡(Balanced ScoreCard)BTF: 计划生产(Build To Forecast)BTO: 订单生产(Build To Order)CPM: 要径法(Critical Path Method)CRM: 客户关系管理(Customer Relationship Management)CRP: 产能需求规划(Capacity Requirements Planning)CTO: 客制化生产(Configuration To Order)DBR: 限制驱导式排程法(Drum-Buffer-Rope)DRP: 运销资源计划(Distribution Resource Planning)DSS: 决策支持系统(Decision Support System)EC: 设计变更/工程变更(Engineer Change)EC: 电子商务(Electronic Commerce)EDI: 电子资料交换(Electronic Data Interchange)EIS: 主管决策系统(Excutive Information System)EOQ: 基本经济订购量(Economic Order Quantity)ERP: 企业资源规划(Enterprise Resource Planning)FMS: 弹性制造系统(Flexible Manufacture System)FQC: 成品品质管制(Finish or Final Quality Control)IPQC: 制程品质管制(In-Process Quality Control)IQC: 进料品质管制(Incoming Quality Control)JIT: 实时管理(Just In Time)KM: 知识管理(Knowledge Management)L4L: 逐批订购法(Lot-for-Lot)LTC: 最小总成本法(Least Total Cost)LUC: 最小单位成本(Least Unit Cost)MES: 制造执行系统(Manufacturing Execution System)MPS: 主生产排程(Master Production Schedule)MRP: 物料需求规划(Material Requirement Planning)MRPⅡ: 制造资源计划(Manufacturing Resource Planning)OEM: 委托代工(Original Equipment Manufacture)ODM: 委托设计与制造(Original Design & Manufacture)OLAP: 线上分析处理(On-Line Analytical Processing)OLTP: 线上交易处理(On-Line Transaction Processing)OPT: 最佳生产技术(Optimized Production Technology)OQC: 出货品质管制(Out-going Quality Control)PDCA: PDCA管理循环(Plan-Do-Check-Action)PDM: 产品数据管理系统(Product Data Management)PERT: 计画评核术(Program Evaluation and Review Technique)POH: 预估在手量(Project on Hand)QCC: 品管圈(Quality Control Circle)RCCP: 粗略产能规划(Rough Cut Capacity Planning)ROP: 再订购点(Re-Order Point)SCM: 供应链管理(Supply Chain Management)SFC: 现场控制(Shop Floor Control)SIS: 策略信息系统(Strategic Information System)SPC: 统计制程管制(Statistic Process Control)TOC: 限制理论(Theory of Constraints)TQC: 全面品质管制(Total Quality Control)TQM: 全面品质管理(Total Quality Management)WIP: 在制品(Work In Process)APQP: 产品质量先期策划和控制计划(Advanced Product Quality Planning and Control Plan )PPAP: 生产件批准程序(Production Part Approval Process)FMEA: 潜在失效模式及后果分析(Potential Failure Mode and Effects Analysis,)SPC : 统计过程控制(Statistical Process Control)OEM: Original Equipment ManufacturerANOVA : 方差分析法(Analysis of Variance)DFMEA : 设计失效模式及后果分析(Design Failure Mode and Effects Analysis)DOE : 试验设计(Design of Experiment)GR&R : 量具的重复性和再现性(Gage Repeatability and Reproducibility)PFMEA : 过程失效模式及后果分析(Process Failure Mode and Effect Analysis)QSR: 质量体系要求(Quality System Requirement)QFD : 质量功能展开(Quality Function Deployment)BOM : 物料清单(Bill of Material)Cpk: 稳定过程的能力指数(Capability for stable process)LCL : 下控制限(Lower Control Limit)UCL : 上控制限(Upper Control Limit)LSL : 工程规范下限(Lower Specification Limit)X(—)--R图: 均值一极差图(Average-Range Chart)Mistake Proofing: 防错ETA : 预计到达(Estimate to be arrive)PO: 定单(Purchase order)M/C : 机器(machine)RFQ : 报价需求(Request for quotation)MFI : 熔融流动指数(Melt flow index)FAI : 全尺寸检测报告(First article inspection)COC : 材质证明(Certificate of compliance)ALT : 加速老化试验(Accelerated life test)CRR : 承认书(Component review report)OT: 加班(Over time)CAP : 矫正计划(Corrective action plan)R&D : 研发(Research and Development)ASAP: 尽快(As soon as possible)ECN: 工程更改通知(Engineering change notice)DCN: 设计更改通知(Design change notice)OTD: 准时交货(On time delivery)二、日常办公英语总经理办公室General manager’s office 模具部Tooling department项目部Project department 品质部Quality department计划部Plan department制造部Manufacture departmentKeypad产品部Keypad departmentIMD 产品部IMD department五金部Metal stamping department设计科Design section冲压车间Stamping workshop电镀车间Plating workshop物控科Production material control section 计划科Plan section仓务科Warehouse section商务科Business section品质规划科quality plan sectionIQC科IQC sectionIPQC科IPQC sectionOQC科OQC section检测中心measurement center项目规划科Project plan section项目XX科Project section XX试模科Mold test section成本科Cost section设备科Facility section采购科Purchase section综合办General affairs office编程科Programming section 模具工程科Tooling engineering section 模具装配车间Mold assembly workshop 文控中心Document control center (DCC) 注塑车间Injection workshop喷涂车间Spray painting workshop装配车间Assembly workshop总经理General manager (GM)经理managerXX部门经理Manager of XX department 原料库Raw material warehouse半成品库Semi-finished product warehouse成品库Finished product warehouse科长section chief主任chief部门主管department head主管, 线长supervisor组长Foreman, forelady秘书secretary文员clerk操作员operator助理assistant职员staff三、专业英语名词超声波焊接ultrasonic welding 塑胶件Plastic parts塑材Raw parts喷涂件Painted parts装配件Assembly parts零件Component原料Raw material油漆Paint稀释剂Thinner油墨Ink 物料编号part number注塑模具injection mold冲压模具Stamping tool模架mold base定模座板Fixed clamp plate A板A plateB板B plate支承板support plate方铁spacer plate回位销Return pin导柱Guide pin动模座板Moving clamp plate 顶针ejector pin单腔模具single cavity mold 多腔模具multi-cavity mold浇口gate合模力clamping force锁模力locking force开裂crack循环时间cycle time老化aging螺杆screw镶件Insert主流道sprue分流道runner浇口gate直浇口direct gate点浇口pin-point gate测浇口edge gate潜伏浇口submarine gate浇口套sprue bush流道板runner plate排气槽vent分型线(面)parting line定模Fixed mold动模movable mold型腔cavity凹模cavity plate,凸模core plate 斜销angle pin滑块slide拉料杆sprue puller定位环locating ring脱模斜度draft滑动型芯slide core螺纹型芯threaded core热流道模具hot-runner mold熔合纹weld line三板式模具three plate mold脱模ejection脱模剂release agent注射能力shot capacity注射速率injection rate注射压力injection pressure保压时间holding time闭模时间closing time电加工设备Electron Discharge Machining 数控加工中心CNC machine center万能铁床Universal milling machine平面磨床Surface grinding machine万能摇臂钻床Universal radial movable driller立式钻床Vertical driller倒角chamfer键Key键槽keyway间距pitch快速成型模Rapid prototype tool (RPT)数控加工numerical control machining原材料raw material主要材料primary material; direct material 辅助材料auxiliary material; indirect material 代用材料substituent 易损材料quick-wear material 废料waste material型材section板材plate棒材bar stock铸件casting锻件forgings焊接件weldment模压件molded parts冲压件stamping合格品accepted product conforming article 不合格品: defective unit non conforming article废品discard返修品rewotking parts样品specimen ; sample工件workpiece配套件(配件)fitting part备品(备件)spare part附件accessory零件part部件subassembly标准件standard part外购件purchased part外协件teamwork part 易损件: quick-wear part试件testing part一般特性general character重要特性important character锻造forging铸造casting钳加工bench work焊接welding铆接riveting热处理heat treatment机械加工machining冷作cold work冲压stamping压力加工mechanical metal processing 塑料成型加工plastic processing电加工electric machining电火花加工electrical discharge machining(EDM)装配assembly包装packaging四、品管专业名词SPC statistic process control品质保证Quality Assurance(QA)品质控制Quality control(QC)来料检验IQC Incoming quality control 巡检IPQC In-process quality control 校对calibration环境试验Environmental test光泽gloss拉伸强度tensile strength盐雾实验salt spray test翘曲warp比重specific gravity 疲劳fatigue撕裂强度tear strength缩痕sink mark耐久性durability抽样sampling样品数量sample sizeAQL Acceptable Quality level 批量lot size抽样计划sampling plan抗张强度Tensile Strength抗折强度Flexural Strength 硬度Rigidity色差Color Difference涂镀层厚度Coating Thickness导电性能Electric Conductivity粘度viscosity附着力adhesion耐磨Abrasion resistance尺寸Dimension(喷涂)外观问题Cosmetic issue不合格品Non-conforming product 限度样板Limit sample质量手册Quality Manual质量计划Quality Plan质量策划Quality Planning质量记录Quality Records原始数据Raw Data 反应计划Reaction Plan返修Repai返工Rework现场Site分承包方Subcontractors产品product质量quality质量要求quality requirement顾客满意customer satisfaction质量管理体系quality management system 质量方针quality policy质量目标quality objective质量管理quality management质量控制quality control质量保证quality assurance五、生产工艺专业名词注塑机injection machine冲床Punch machine嵌件注塑Insert molding双色注塑Double injection molding 薄壁注塑Thin wall molding膜内注塑IMD molding ( In-mold decoration)移印Tampo printing丝印Silk screen printing热熔Heat staking超声熔接Ultrasonic welding (USW)尼龙nylon黄铜brass青铜bronze紫(纯)铜copper料斗hopper麻点pit 配料compounding涂层coating飞边flash缺料Short mold烧焦Burn mark缩水Sink mark气泡Bubbles破裂Crack熔合线Welding line流痕Flow mark银条Silver streak黑条Black streak表面光泽不良Lusterless 表面剥离Pelling翘曲变形Deformation 脏圬Stain mark油污Oil mark蓝黑点Blue-black mark 顶白Pin mark拉伤Scratch限度样品Limit sample 最佳样品Golden sample 预热preheating再生料recycle material 机械手Robot 机器人Servo robot试生产Trial run; Pilot run (PR) 量产mass production切料头Degate产能Capacity能力Capability参数Parameter二次加工Secondary process六、物流控制专业名词保质期shelf lifeABC分类法ABC Classification装配Assembly平均库存Average Inventory批号Batch Number批量生产Mass Production提货单Bill of Lading物料清单Bill of Material采购员Buyer检查点Check Point有效日期Date Available修改日期Date Changed结束日期Date Closed截止日期Date Due生产日期Date in Produced库存调整日期Date Inventory Adjust作废日期D ate Obsolete收到日期Date Received交付日期Date Released需求日期Date Required需求管理Demand Management需求Demand工程变更生效日期Engineering Change Effect Date 呆滞材料分析Excess Material Analysis 完全跟踪Full Pegging在制品库存In Process Inventory投入/产出控制Input/ Output Control检验标识Inspection ID库存周转率Inventory Carry Rate准时制生产Just-in-time (JIT)看板Kanban人工工时Labor Hour最后运输日期Last Shipment Date提前期Lead Time负荷Loading仓位代码Location Code仓位状况Location Status批量标识Lot ID批量编号Lot Number批量Lot Size机器能力Machine Capacity机器加载Machine Loading制造周期时间Manufacturing Cycle Time 制造资源计划Manufacturing Resource Planning (MRP II)物料成本Material Cost物料发送和接收Material Issues andReceipts物料需求计划Material Requirements Planning (MRP)现有库存量On-hand Balance订单输入Order Entry零件批次Part Lot零件编号Part Number (P/N)零件Part领料单Picking List领料/提货Picking产品控制Product Control产品线Production Line采购订单跟踪Purchase Order Tracking需求量Quantity Demand毛需求量Quantity Gross安全库存量Safety Stock在制品Work in Process零库存Zero Inventories审核Audit能力Capability能力指数Capability Indices控制计划Control Plans纠正措施Corrective Action文件Documentation作业指导书Standard operation procedure (SOP); Work instruction不合格品Nonconformance不合格Nonconformity每百万零件不合格数Defective Parts Per Million, DPPM预防措施Preventive Action程序Procedures过程流程图Process Flow Diagram, Process Flow Chart 组织organization顾客customer供方supplier过程process服务service设计与开发design and development: 特性characteristic可追溯性trace ability合格conformity缺陷defect纠正correction让步concession放行release报废scrap规范specification检验inspection试验test验证verification评审review测量measurement普通原因Common Cause均值Mean极差Range稳定性Stability计量型数据Variables Data变差Variation重复性Repeatability再现性Reproducibility稳定性Stability线性Linearity分辨率Resolution过程更改Process change质量功能展开QFD外观项目Appearance Item初始过程能力Preliminary Process Capability材料清单Bill of Material 设计确认Design Validation 设计验证Design Verification七、通用词语确保ensure构想construct会签con-sign功能Function机构organization外观appearance适用apply to作业流程Operation flow附件attachment商务人员business personnel汇总summarize指定相关人员designated personnel 新产品开发说明会new product development explanation meeting 拟定Prepare委托entrust认证qualify电子档Soft copy3D文件3D database移转Transfer执行ConductXXX申请单XXX Application form 客户要求Customer requirement启动Kick off评估Evaluation作业员Operator批准, 承认Approval合同评审Contract review可靠性Reliability 相关的Relevant程序Procedure制程Process流程图Flow chart产品Product生产Production资材Logistics责任Responsibility跟进Follow-up交付Delivery汇总Summarize外协加工subcontract指定相关人员designated personnel 编号number附件attachment产品名称Description周期循环时间Cycle time模具号Mold No,数量quantity ( Qt’y )备注remarkSAP号SAP No.客户Customer表单Form初步的Preliminary版本Version根本原因Root cause(喷漆)夹具Fixture(设备)小夹具Jig设备Equipment设施Facility送, 提交(样品)Submit责任部门,责任人Responsible by (大的)目标Objective(小的, 具体的)目标Target格式Format 上岗证Qualification card需求Requirement现场On site查检表Checklist试产pilot增值税VAT---value-added tax模具图面常见符号含义M,MC ―― 铣SP ―――― 基准点H ――― 热处理TYP ―――― 典型尺寸ELE ―― 镀铬RP ―――― 圆弧点DYE ―― 染黑CEN,CL ―― 中心线G ――― 磨TAN ―――― 切点PG ――― 光学曲线磨THR ―――― 穿孔JG ――― 坐标磨BOTT ――― 底面W/C,W ――线割TOP ―――― 顶面E,EDM―― 放电SYM ―――― 对称L ―――― 车T ――――― 厚度INT ――― 交点CB ―――― 沉孔C ―――― 倒角CLEAR ――― 间隙11。
fdm_精品文档
fdmFinite Difference Method (FDM)有限差分方法 (FDM)Introduction简介The Finite Difference Method (FDM) is a numerical technique used to approximate solutions to differential equations. It belongs to the family of finite difference methods, which discretize the continuous domain into a grid of discrete points and approximate derivatives using finite difference approximations. FDM is widely used in various fields such as engineering, physics, and computer science to solve partial differential equations (PDEs) and ordinary differential equations (ODEs).FDM Basic ConceptsFDM基本概念To understand the Finite Difference Method, let's consider a simple example of a one-dimensional heat conductionproblem. The governing equation for this problem is the heat conduction equation:∂u/∂t = α ∂²u/∂x²Here, u represents temperature, t represents time, x represents position, and α represents thermal diffusivity. The goal is to approximate the temperature distribution (u) at different positions and times.- Discretization: The first step in FDM is to discretize the continuous domain into a grid of discrete points. In this example, we divide the domain into N equidistant points with a spacing of Δx.- Finite Difference Approximations: Once the domain is discretized, FDM approximates derivatives using finite difference approximations. For instance, the first derivative can be approximated using the central difference formula:∂u/∂x ≈ (u(i+1) - u(i-1))/(2Δx)Similarly, the second derivative can be approximated using the central difference formula:∂²u/∂x² ≈ (u(i+1) - 2u(i) + u(i-1))/(Δx²)- Time Discretization: FDM also discretizes the time domain. For example, we divide the time domain into M equidistant points with a time step of Δt.After discretization, the original PDE can be transformed into a system of algebraic equations, which can be solved numerically to obtain approximate solutions.Implicit and Explicit Methods隐式和显式方法There are two main approaches to solving the resulting system of algebraic equations in FDM: implicit methods and explicit methods.- Implicit Methods: In implicit methods, the values at the next time step are obtained by solving a system of linear equations. This involves constructing a coefficient matrix andsolving the resulting matrix equation. Implicit methods are more stable but computationally more expensive.- Explicit Methods: In explicit methods, the values at the next time step are calculated directly from the values at the current time step. Explicit methods are computationally less expensive but may suffer from stability issues, especially for large time steps.Choice of Method方法选择The choice between implicit and explicit methods depends on various factors such as stability requirements, computational resources, and accuracy requirements. For example, if stability is a major concern, an implicit method may be preferred. On the other hand, if computational resources are limited and accuracy is not the primary concern, an explicit method may be sufficient.Applications of FDMFDM应用The Finite Difference Method has a wide range of applications in various fields. Some of the key applications include:- Heat Transfer: FDM is commonly used to solve heat conduction problems, where the temperature distribution in a solid medium needs to be determined.- Fluid Dynamics: FDM is used in computational fluid dynamics (CFD) to simulate the behavior of fluids, including gas and liquid flows. It helps in understanding the fluid flow patterns, pressure distribution, and other dynamics.- Electromagnetics: FDM is used in electromagnetic simulations to solve Maxwell's equations, which govern the behavior of electric and magnetic fields.- Structural Mechanics: FDM plays a critical role in structural mechanics to analyze and predict the behavior of structures under different loads and boundary conditions.Advantages and Limitations of FDMFDM的优点和局限性Some of the advantages of FDM are:- Versatility: FDM can be applied to a wide range of problems involving differential equations.- Simplicity: FDM is relatively easy to implement and can be understood and coded by individuals with basic programming skills.- Flexibility: FDM allows for the use of irregular grids, which can be beneficial for solving complex problems with irregular geometries.However, FDM also has certain limitations:- Accuracy: FDM solutions are subject to errors due to discretization and approximation. The accuracy of FDM can be improved by using smaller grid sizes, but at the cost of increased computational efforts.- Stability: Explicit FDM methods have stability constraints and may require using smaller time steps to ensure stability. This can increase the computational time.Conclusion结论The Finite Difference Method (FDM) is a powerful numerical technique for approximating solutions to differential equations. It provides a versatile and flexible approach to solve various problems in different fields. However, it is essential to understand the limitations and choose the appropriate method (implicit or explicit) based on the specific requirements of the problem. With careful implementation and consideration of the trade-offs, FDM can be an effective tool for solving complex differential equation problems.。
美式期权定价自由边界问题及数值方法
摘要期权定价理论是目前金融工程、金融数学所研究的前沿和热点问题。
针对不存在定价公式的一类美式期权,本文研究其定价中的自由边界问题,并结合自由边界提出了更快速的精确度更高的数值方法。
本文绪论部分对金融衍生工具及其定价理论作了概括性的回顾。
第二部分详细地阐述了衍生证券价格所服从的Black—Scholes偏微分方程的建立过程,并利用傅立叶变换详细推导了欧式期权的Black—Scholes定价公式。
文章第三部分结合自由边界,改进了原有的为美式看跌期权定价的有限元方法:首先通过变量变换就原问题化简并转化为等价的变分不等式方程,然后建立半离散和全离散有限元逼近格式,且着重论证了有限元解的稳定性以及在L2和H1模意义下的误差估计。
最后用数值算例验证了该方法的有效性。
文章第四部分本文又针对满足Black-Scholes方程的美式期权定价问题,提出了一种快速的数值方法:在定义域的趋于无限那一端,找到一个准确的人工边界条件,将计算区域变小。
然后再将人工边界与确定自由边界位置数值方法相结合,并用有限差分方法求解所导出的问题。
对一些付红利的美式看涨期权给出了数值算例,证明新的处理办法非常有效,而且精度也比标准的有限差分方法高。
关键词:B-S模型,美式期权,自由边界,有限元法,人工边界,有限差分方法ABSTRACTThe option pricing and volatility estimate is financial project,financial mathematics problem of leading edge as well as a hot one at present.For a kind of American options which didn’t have pricing formula,the article studies the free boundary problem of its bining with the free boundary,the article gives faster and more exact numerical method for pricing of American options.The part of this text introduction has done the reviewing of generality to the financial derivative and pricing theory.At the second chapter,the article expatiates the instauration of the Black-Scholes Differential Equation in detail.Then the article deduces the Black-Scholes pricing formula of European options by Fourier transform.At the third chapter of the article,combining with the free boundary,finite element method used for American put options pricing is improved.First,the option pricing problem is transformed to variational inequality equations by variable substitution,then both semi discrete and fully discretized finite element approximation schemes are established.It is proved that the numerical methods are stable and convergent under and norms.Numerical example shows the convergence and efficiency of the algorithm.A fast numerical method for computing American option pricing problems governed by the Black–Scholes equation is presented in the fourth chapter.An accurate artificial boundary condition on the far boundary is found.It makes the computational domain smaller.Then this boundary condition is discretized and combined with a simple numerical method to determine the location of the free boundary.The finite difference method is used to solve the resulting putational results of some American call option problems show that the new treatment is very efficient and gives better accuracy than the normal finite difference method.Keyword:B-S model,American option,free boundary,the finite difference method, artificial boundary,the finite element method1绪论金融衍生品(derivative security,也称为衍生品、衍生证券、衍生工具)是一种新型的金融工具,近些年来在国际金融市场中发挥了越来越大的作用,其价格或投资回报最终取决于另一种资产,即所谓的标的资产的价格。
NUMERICAL METHODS Chapter08
NUMERICAL ORDINARY DIFFERENTIAL EQUATIONS
(ODE) This chapter is about solving for a function of time y(t) when its time-derivative is given, namely,
yi+1
k = f (ti, yi)
y(t) yi
t
ti h ti+1
A. Difference equation When propagating from i to i+1, the propagation slope is simply approximated as:
k= dy = f (ti , yi ) dt ti
yi +1 + δyi +1 = yi + δyi + f (ti , yi ) h + ∂f (ti , yi ) δyi h ∂y
δyi +1 = δyi +
∂f (ti , yi ) δyi h ∂y δyi +1 ∂f (ti , yi ) h =1+ δyi ∂y
For the calculation to be stable, the round-off error has to diminish as i increases. The stability condition is: ∂f 1+ h <1 ∂y ∂f ∴0 < − h < 2 . ∂y Therefore, the method is only conditionally stable.
dy = f (e derivative depends on time t and the instantaneous value of y itself. The function f can be a complicated function that requires numerical treatments. If f does not depend on y, the numerical integrations of Chapter 7 are applicable. Otherwise, we need to deal with the problem using tools of the current chapter. The problem of Eq. (*) is called a first-order ordinary differential equation (ODE). It is of first order because only the first derivative is involved. It is regarded as “ordinary” because the differentiation is only about a single variable t. It is clear that the initial value y(0) at t = 0 has to be given. The problem is an example of initial value problems (IVP). Numerical ODE solution with increasing accuracies are presented in this chapter. They are Euler’s method, Heun’s method and Runge-Kutta 4th order method. While these methods use equal step size, Matlab has some built-in functions with adaptive step sizes. Example of using ode functions will be discussed.
IL Series 激光应用传感器说明书
Seam detectionHeight controlThickness differentiationThickness differentiationHEIGHT/HEIGHT DIFFERENCE POSITIONINGWARPAGE FEEDBACK LOOP CONTROLTHICKNESS/WIDTH PEAK, BOTTOM AND PEAK TO PEAKCMOS Multi-Function Analog Laser SensorIL SeriesNEWSERIESIntelligent SensorLow-cost HighPerformance2IntelligentHigh repeatability was achieved by using state of art technology and functions specifi cally developed for measuring instruments.RuggedDeveloped for use in harsh environments, the IL Series was designed with a robust structure.EasyExcellent usability makes it possible to quickly and easily perform stable measurements without any diffi cult adjustments or settings.VARIETY OF USES AT LOW COSTCompact and lightweight laser displacement sensorI n t e l l i g e n tR u g g e d Ea s yIS E R I E SIntroducing the IL SeriesThe intelligent I-Series consists of a highly stable sensor lineup that realizes low-cost and high performance with only the most advanced functions for on-site operations.I -SERIESIntelligent SensorLow-cost HighPerformance3I n t e l l i g e n tR u g g e dE a s yIS E R I E SI n t e l l i g e n tR u g g e d E a s yIS E R I ESI n t e l li ge n tR u g g e dE a s yIS E R I E SWhen the workpiece is highly refl ectiveReduced powerWhen the workpieceis darkIncreased power90°RLLoad (W): 250 gBending radius: R50 mm 1.97"Rate: 30 bends/minute(One bend is a cycle whereby the cable is bent from left to right and then from right to left.)20 million cycle servicelife (typical)Free Cut!48.5 mm 1.91"IL-100Reference distance Measurement range Display Resolution Repeatability100 mm 3.94"75 to 130 mm2.95" to 5.12"2 µm0.08 Mil 10 µm 0.39 MilIL-300Reference distance Measurement range Display Resolution Repeatability300 mm 11.81"160 to 450 mm 6.30" to 17.72" 10 µm 0.39 Mil50 µm1.97 MilIL-600Reference distance Measurement range Display Resolution Repeatability600 mm 23.62"200 to 1000 mm 7.84" to 39.37" 50 µm 1.97 Mil 300 µm 11.81 MilIL-065Reference distance Measurement range Display Resolution Repeatability 65 mm 2.56"55 to 105 mm2.17" to 4.13"2 µm0.08 Mil 4 µm 0.16 MilIL-030Reference distanceMeasurement rangeDisplay ResolutionRepeatability30 mm 1.18"20 to 45 mm 0.79" to 1.77"1 µm 0.04 Mil 2 µm 0.08 MilRugged Head Structure[Die cast metal used for IP67/optical base]Compact Head Design + Easy Mounting[Smallest body in its class] + [Hi-fl ex cable]The IL Series automatically controls and optimizes laserpower according to the refl ectance of the target. As a result, stable measurement is possible for almost any target from black rubber to highly refl ective metal surfaces. Furthermore, in order to further streamline communication with process control systems we have installed application specifi c functions into the compact amplifi er.The IL Series has achieved the smallest head housing in its class by adopting the unique aspherical lens. The weight of the head is a mere 60g* (2.1 oz). The sensor head cable is designed with a robot cable. This cable is specifi cally designed for high cycle service life and makes the sensor ideal for robotics or other high cycle applications.*IL-030The head structure was redesigned to make it rugged enough to withstand almost any environment. In addition, the optical base is made of die cast SUS304 for added strength and protection.Super Small Head + Multi-Function Amplifier[Measurement with higher stability] + [All-in-one design]4Step1Step2Step3The multi-function amplifi er with an all-in-one designWhen bringing the target closer to the sensor head in Steps 1 and 2, you are compensating for the misalignments that occur during installation. To set, you can begin with either one of the sensor heads.3-step easy calibration With conventional devices, calibration had to be conducted on each and every individual sensor head, however, as theIL Series has a dedicated mode that allows calibration to be completed in 3 simple steps.Bring the target close to one sensorhead and input the thickness data,then push the set button.Bring the same target used in Step 1close to the opposing sensor head andpush the set button.Insert a target thicker than thetarget used in Step 2. Input thethickness data. Then pushing theset button completes calibration.Ambient light elimination function includedIn order to counteract any ambient light interference, the IL Series automatically activates the ambient light elimination function when the sampling cycle is set to ‘2 ms’ or ‘5 ms’, reducing the effects of ambient light.New mode – Thickness calibration function includedDirect connection with peripheral equipmentPLC, etc.Peripheral equipmentAnalog controller, etc.Data logger, etc.PCHi / Go / Lo judgementoutputVoltage / current analogoutputBCD outputRS232CEmissionLaserThe CMOSwaveform of AAmbient light ispresentThe CMOSwaveform of BAmbient light only(Minus)—=CMOS waveform(difference)Waveform where the ambientlight has been removed(Equals)5Mounting method optionsBoth panel and DIN-rail mount units are available.IL-1500/1550Panel mount typeDL-RB1ABCD output unitDL-RS1ARS-232C communication unitIL-1000/1050DIN-rail mount typeUse this unit when retrieving numericaldata from the IL Series to an externaldevice as digital data. A singlecommunication unit can retrieve datafrom up to 8 IL Series display units viaBCD.Use this unit when outputting digitaldata to an external device withRS-232C signals. In addition the unitcan be used to externally program theamplifi ers.Analog Output SelectionThe following fi ve types of analog outputs can be selected. Theoutput is selected the fi rst time the user turns on the power.The setting can be changed.NPN/PNP Output Selection (judgment selection)Both NPN and PNP outputs are supported. The outputs are setthe fi rst time the user turns on the power. These settings cansubsequently be changed. Judgments are output as HIGH, GO,or LOW.Bank FunctionThe bank function can register up to four patterns of specifi csettings.* For example, in response to a measurement targetchangeover, this function allows the user to easily switchbetween the patterns of registered settings.* HIGH setting value, LOW setting value, shift value, analog output scaling settingAddition modeSetting example 1(thickness measurement)Setting example 2(width measurement)Subtraction modeSetting example 1(Measurement of height difference)Setting example 2(Measuring tilt)Multi-function amplifierCALCULATION FUNCTIONFUNCTION CHOICESCommunication Unit6ApplicationsBy observingthe expansiondisplacement of a canafter heat processing,the results of heatprocessing can beevaluated. Reliabledifferentiation canstill be conductedeven if there are colorchanges in the cans.Thickness and widthcan be simultaneouslymeasured immediatelyafter the extrusionprocess. In addition,man-hours for setup andproduct changeoversare reduced using thethickness calibrationfunction.When assemblingautomotive doors,by simultaneouslymeasuring multiplepoints, the assemblyaccuracy can beevaluated. Reliabledetection is possibleregardless of bodycolor.By using a longrange type of sensorhead, it is possible tocontrol height of hoopmaterials such assteel plates and sheetmaterials even duringtransportation.The sensor headcan be installed ata distance of up to1000 mm 39.37".Provides constantmonitoring by measuringthe height using 2sensors simultaneously,then calculates theheight difference usingthe calculation functionin the amplifi er. Reliabledetection is possibleeven if the product typeor color changes.Even in targets witha large amount ofshape scatter, reliablecounts can still beachieved by detectingrising edges. Theoutput signal is thensent to a counter orother device.As the sensor headis compact, multiplepoint measurements ofsmall-scale boards arepossible. By calculatingthe measurement dataexternally, simultaneousmeasurements ofpositioning and warpageare possible.Through externalcalculations ofheight data from thesensor, the devicedetects the positionof the weld seam.Welding accuracycan be improvedvia measurementdata feedback to thewelder.Heat processing inspection of cansThickness/width measurements of buildingmaterial boardsPackaging material countingAccuracy checks on an automotive doorassemblyHeight controls of a hoop material Height difference measurements of aplastic extrusionWarpage detection in ceramic boardsPositional control of welding beads7Reliable differentiation, even in highly variable small parts, using a high-precision sensor head. Even when the variety changes, external changeover of up to 4 patterns is possible by setting items in the bank function.Controls the PC board height in the mounting and drilling processes. Various kinds of targets can be reliably controlled without being affected by the surface colors of the PC boards.Measures the presence and protrusion of glass in a cassette.Stable detection ispossible even if positional misalignments occur in the cassette itself by utilizing analog processing.Prevents irregular winding by monitoring the traverser position. In addition, feedback control to the device is possible by measuring the volume wound into the bobbin at the same time.Calculates the inclination by measuring multiple points on the stage prior to transferring to the furnace. Transferring the product after correcting the inclination allows for consistent temperature control.Measures the height of the board pre-bonding and the chip post-mounting, allowing control of the post-processing suction nozzle and dispenser nozzle feedback.The IL Series counts how many items are being transported along a conveyer, in addition to the non-contact detection of uneven stacking in the stacker. Reliable detection regardless of color changes in the targets.Measures the behavior of each unit in thedevice. Due to the small head footprint, the IL series can be installed in compact spaces. This means that the IL series can be installed even after the machinery has been set up.Differentiation of different types of plastic componentsHeight controls of a PC boardMisalignment measurement and presence detection of a wafer/glass in a cassette.Wire winding processDetection of stage inclination prior to furnace transportationMeasuring the height of a chip after bondingStacker device counts and stacking disturbancesBehavior detection in an operational unit8Speci fi cationIL-030IL-065IL-10030 mm 1.18"300 mm 11.81"600 mm 23.62"160 to 450 mm200 to 1000 mm 1. The laser classification for FDA (CDRH) is implemented based on IEC 60825-1 in accordance with the requirements of Laser Notice No.50.2. Value when measuring the KEYENCE standard target (white diffuse object).3. F.S. of each model is as follows. IL-030: ±5 mm ±0.20" IL-065: ±10 mm ±0.39" IL-100: ±20 mm ±0.79" IL-300: ±140 mm ±5.51" IL-600: ±400 mm ±15.75"4. Value when measuring the KEYENCE standard target (white diffuse object) at the reference distance, sampling rate: 1 ms, and average number of times: 16. For the IL-300/IL-600, the sampling rate is 2 ms.5. Value when the sampling rate is set to 2 ms or 5 ms.DIN-rail mountDIN-rail mount1. Select and use one of ±5 V, 1 to 5 V, 0 to 5 V or 4 to 20 mA.2. Assign an input of your choice to the 4 external input lines before using.3. – The NPN open collector rated output is: 50 mA max./ch (20 mA when adding an expansion unit) less than 30 V, residual voltage less than 1 V (less than 1.5 V when adding over 6 units including the main unit)– The PNP open collector rated output is: 50 mA max./ch (20 mA/ch when adding expansion units), less than power voltage, and less than 2 V residual voltage (less than 2.5 V when adding over 6 units including the main unit) 4. If there are over 6 additional expansion units, please use a power voltage of 20 to 30 V.Sensor head cables (sold separately)This connector is required if the cable is cut.Connector used to connect to a display unit (2 pcs.)OP-843389DL-RB1A20 to 30 VDC, including ripple, Ripple (P-P): 10% max. Class 2 (Supplied via connected sensor amplifiWiring Diagram1.10 to 30 VDC 4.0VHIGH judgment output LOW judgment output GO judgment output Alarm output Analog output +Analog output GNDExternal input 1 (zero shift input)External input 2 (reset input)External input 3 (timing input)External input 4 (not used)1. The brown, blue, and light blue cables are not provided in a IL-1050/IL-1550 unit (expansion unit).The power is supplied to the expansion unit from the IL-1000/IL-1500 unit (main unit).2. For an analog output, OFF (not used), 0 to 5 V, ±5 V, 1 to 5 V, or 4 to 20 mA can be selected.3. For an external input, bank A input, bank B input, laseremission stop input, or OFF (not used) can also be selected.For details, refer to the User’s Manual.4. If there are over 6 additional expansion units, please use a power voltage of 20 to 30 V.3.23.2Material: SUS304 t=1.5 0.06"Material: SUS12 6.7 150.06"Material: SUS304 t=2.0 0.08"Supplied screw (2 pcs.) M3, P=0.5, L=30 1.18" Material: SUS010DimensionsSensor headsIL-030IL-065/100Mounting bracket (supplied)Mounting bracket (supplied)Unit : mm inchMaterial: SUS304 t=2.0t=2.00.47"0.36"0.36"0.73"ø0.17"0.08"0.08"IL-300/600Mounting bracket (supplied)Cable diameter ø4.7 ø0.19"Cable diameter ø4.7 ø0.19"45X=48 1.89"×(number of amplifiers) -3 0.12"451.77"1.77"45 1.77"0.89"Material : SPCC Steel0.89"Material : SPCC Steel0.89"0.89"OptionsUnit : mm inch11 Communication unit (RS-232C communication type)DL-RS1ACommunication unit (BCD output type)DL-RB1AAmplifi er unit (DIN-rail mount type)IL-1000/IL-1050Amplifi er unitIL-1500/IL-155034-pin MIL connectorDIN-rail mountIL-1000IL-1050When the mounting bracket is attachedOP-60412 (Optional)DIN-rail mount When the mounting bracket is attachedOP-60412 (Optional)KA1-1090■ Regional offices CO FL GA ILDenver Tampa Atlanta ChicagoAL CA CA Birmingham N.California Los AngelesTX VA WADallas Richmond SeattleSC TN TN TXGreenville Knoxville Nashville Austinwww.keyence .comKEYENCE MEXICO S.A. 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All rights reserved.IL-KA-C2-E 1100-1 611473 Printed in JapanKEYENCE CANADA INC.Head Office PHONE:905-696-9970FAX:905-696-8340E-mail:*************************Montreal PHONE: 514-694-4740 FAX: 514-694-3206KEYENCE CORPORATION OF AMERICACorporate Office 669RiverDrive,Suite403,ElmwoodPark,NJ07407PHONE:201-930-0100FAX:201-930-0099E-mail:*******************Sales & Marketing Head Office 1100 North Arlington Heights Road, Suite 350, Itasca, IL 60143 PHONE: 888-539-3623 FAX: 630-285-1316KEYENCE GLOBAL HEADQUARTERS1-3-14, Higashi-Nakajima, Higashi-Yodogawa-ku, Osaka, 533-8555, Japan PHONE: +81-6-6379-2211SAFETY INFORMATIONPlease read the instruction manual carefully in order to safely operate any KEYENCE product.The information in this publication is based on KEYENCE’s internal research/evaluation at the time of release and is subject to change without notice.1-888-539-36231-888-KEYENCECALL TOLL FREET O C O N TA C T Y O U R L O C A L O F F I C E*611473*Total Solution LineupCCD LASER MICROMETER Multi-PurposeCCD Laser MicrometerIG Series❙ Repeatability of 5 µm (0.20 Mil)❙ Linearity of ± 0.1% (IG-028)❙ Built-in position monitorCONTACT SENSOR High-precision Contact Digital SensorGT2 Series❙ H igh accuracy in the entire measurement range❙ Good temperature characteristics ❙No tracking errors❙Absolute position detectionResolutionAccuracy 0.1 µm 0.004 Mil1 µm0.04 MilINDUCTIVE DISPLACEMENT Digital InductiveDisplacement SensorEX-V Series❙ Resolution of 0.02% of F.S.❙ Linearity of ± 0.3% of F.S.❙ Ultra high-speed sampling of 25 µsOuter diameter/deformation measurement an extrudateDetection of crank shaft defectsMeasuring the gap between rollersFeedback control using edge position controlMeasurement of defects in a press fi t Confi rmation of the die closure of an IC molding press。
finite element method;
finite element method;Finite element method (FEM) is a numerical technique used to approximate the solutions of differential equations. It is widely used in the field of structural analysis, heat transfer, fluid dynamics, electromagnetics, and many other engineering and scientific disciplines.In FEM, a complicated geometry or physical domain is divided into smaller, simpler regions called finite elements. These elements are connected at specific points called nodes. By applying appropriate mathematical techniques and numerical algorithms, differential equations governing the behavior of the system under consideration are converted into a system of algebraic equations. This system of equations can then be solved using numerical methods to obtain an approximation of the desired solution.The finite element method provides several advantages over traditional analytical methods, particularly when dealing with complex geometries or nonlinear material behavior. Some key benefits include:1. Flexibility: FEM can handle various types of boundary conditions, material properties, and geometry configurations, making it highly flexible for modeling complex physical systems.2. Accuracy: By using a large number of finite elements, FEM can achieve high accuracy and precision in approximating the solutions of differential equations.3. Adaptability: The size and shape of finite elements can bemodified to capture specific phenomena or regions of interest more accurately.4. Versatility: FEM can handle a wide range of physical phenomena, including static and dynamic problems, linear and nonlinear behavior, and coupled systems.However, FEM also has certain limitations and challenges. It can be computationally expensive and time-consuming, especially for large-scale problems. Additionally, proper mesh generation and selection of appropriate element types and material models are crucial for obtaining accurate results.Despite these challenges, the finite element method remains a powerful and widely used numerical technique in engineering and scientific research. It has significantly contributed to the advancement of various fields by enabling the analysis and design of complex systems that would be difficult or impossible to solve analytically.。
收敛比的英文缩写
收敛比的英文缩写In mathematics, the concept of convergence is crucial for understanding the behavior of sequences and series. The term "convergence ratio" is often used to describe how quickly a sequence approaches its limit.The abbreviation for "convergence ratio" can vary depending on the context, but in many scientific andtechnical fields, it is simply referred to as "CR."Understanding CR is essential for evaluating the efficiency of algorithms, especially in numerical methods where the rate of convergence can significantly impact computational time.In practical applications, a higher CR indicates a more rapid approach to the desired value, which is desirable for minimizing errors and ensuring accuracy in results.For example, in the context of finance, a high CR in a portfolio's returns might suggest a more stable and predictable investment.In the field of engineering, CR can be used to measure the performance of materials under stress, indicating how quickly they adapt to changes in load or environment.In computer science, particularly in machine learning,the CR of an algorithm can be a key factor in determining its suitability for real-time applications.Overall, the convergence ratio is a vital metric across various disciplines, providing insight into the speed and reliability of processes and systems.。
螺栓钢带弹簧的性能分析,主要关注弹簧的偏心效应说明书
Analysis of the Influence of Eccentricity on the Performance of Eccentric InvoluteFlexible SpringXu XinSchool of Mechatronic Engineering Xi`an Technological UniversityXi’an, ChinaE-mail:*****************Wang YajuanSchool of Mechatronic Engineering Xi`an Technological UniversityXi’an, ChinaE-mail:****************Liu BoSchool of Mechatronic Engineering Xi`an Technological UniversityXi’an, ChinaE-mail:*****************Zhang Jun-anSchool of Mechatronic Engineering Xi’an Technological UniversityXi`an, ChinaE-mail:**************Abstract—Flexible plate spring plays an important role in gap seal and reliability of free piston Stirling heat pump. Eccentric flexible plate spring is widely used in Stirling machine because of its better stress distribution and larger radial stiffness ratio. In this paper, the influence factor of three-groove eccentric involute flexible plate spring eccentricity is analyzed in detail, and the value range of eccentricity in the design process of eccentric flexible spring is obtained by establishing a mathematical model. Through finite element analysis, the variation of radial and axial stiffness of eccentric flexible spring with different eccentricity is summarized. This study provides a basis for the design of later eccentric flexible spring.Keywords-Eccentricity; Flexible Spring; Finite Element; Radial And Axial StiffnessI.I NTRODUCTIONFlexible plate spring (later referred to as plate spring) is on the circular elastic metal sheet through laser cutting and other methods to process a variety of lines. Through the action of axial force, the elastic sheet can have a certain axial displacement and ensure the plate spring has a great stiffness in the radial direction[1].The overall structure of the free piston Stirling heat pump for pure electric vehicle air conditioning heating research shown in this paper is shown in Figure 1. The blue part is a plate spring, and the plate spring is used to support the power piston and the gas distribution piston. The sealing gap between the piston and the cylinder during the movement, the performance of the plate spring is directly related to the smoothness and output efficiency of the Stirling heat pump. Therefore, the study on the properties of plate spring has important theoretical and engineering value.In 1981, Dave[2] of Oxford University first applied the plate spring to the cryocooler, which made the gap sealing and oil-free lubrication technology of the refrigerator possible. Since then, the plate spring has been widely concerned and applied in the field of Stirling machine. T. E. Wong et al[3-4]. Optimized the design of flexible spring to meet the work needs of linear compression system, and carried out the finite element analysis of flexible spring under the condition of dynamic load, and proposed the dimensionless design curve of scroll profile. Chen Nan and others[5-7] of Shanghai Jiaotong University put forward the design method of circular involute vortex plate spring based on CAD analysis of overseas plate spring profile, and further studied the performance of vortex plate spring by numerical and theoretical methods. Gan Zhihua et al[8]., Zhejiang University combined with finite element analysis and experimental results, the circular involute is more suitable for the construction of the vortex line, and the eccentric plate spring has the advantages of larger axial stiffness ratio and better stress distribution.Figure 1.General structure of Stirling heat pump In this paper, CAD, SolidWorks and other tools are used to build a three-dimensional model of three groove eccentric involute plate spring with different eccentricities. The range of eccentricity in the design of eccentric plate spring isInternational Conference on Precision Machining, Non-Traditional Machining and Intelligent Manufacturing (PNTIM 2019)analyzed by derivation and calculation. Based on the finite element analysis model, the axial and radial stiffness of plate spring with different eccentricity are analyzed by ANSYS software.II. DETERMINATION OF THE VALUE RANGE OFECCENTRICITYWhen designing the three groove eccentric plate spring, it is necessary to construct the eccentric involute. The eccentric involute occurs on three different base circles with the same radius. The included angle between the center of two adjacent base circles and the line connecting the plate spring center is 120 °, and the length of the line section is the eccentricity. The eccentricity has a certain value range. When the eccentricity is too large, the two vortex grooves will intersect and the leaf spring will be damaged. In the design process of eccentric plate spring, it is necessary to determine the maximum value of eccentricity, so as to get the value range of eccentricity. The value range formula of eccentricity can be determined according to the minimum distance between adjacent vortex tanks.When the normal lines of two adjacent eccentric involutes are on the same line, the length of the line connecting the intersection point of the line and the two involutes is the longest or shortest distance between the two involutes, as shown in fig. 2.In this paper, we only need to find the shortest distance formula, that is, the length of line segment EF. According to the length of the line segment EF, the range of values of the eccentric amount to be finally obtained can be obtained. Suppose the length of line segment EF is l, the radius of the base circle is r, and the eccentricity is x.Figure 2. Schematic diagram of two adjacent eccentric involutesIt is easy to prove that the quadrilateral ABCD is a rectangle, so we can get:x l l AB CD 3==(1)Observe the rotation angles of two involutes, and throughcalculation and derivation, we can get:6/71π=∠, 6/112π=∠(2)According to the property of involute, the length of CE l and DF l can be obtained:6/7226/7r r l CE ππππ=∙= (3)6/11226/11r r l DF ππππ=∙=(4)Therefore, the shortest distance formula between two adjacent involutes:l r l l l l x CE CD DF EF 33/2-=--==π(5)In order to ensure that the plate spring can be used, the minimum distance between two eccentric involutes should be greater than 0, which can be obtained :9/32r l π<. According to this formula, the range of the eccentricity can be accurately obtained. According to the range of the eccentricity, a lot of time can be saved when designing the eccentric plate spring.III. DESIGN PARAMETERS AND 3D MODEL OF PLATESPRING In the design process of eccentric plate spring, the eccentricity has an obvious influence on the spring stiffness. In this study, the finite element analysis is carried out for the plate springs with different eccentricities and all other parameters are the same, and the change rule of radial and axial stiffness with eccentricity is summarized, which provides reference for the design of eccentric involute flexible spring. In addition to eccentricity, design parameters of plate spring are shown in Table 1.Considering the complicated working condition of the Stirling heat pump, the plate spring is required to have good elasticity, anti-magnetic property, corrosion resistance and the like. Taking into account the superior elastic properties of beryllium bronze, it is the best high-grade elastic material in copper alloy, and has the reputation of the king of non-ferrous metal elasticity. Finally decided to choose the material of the bronze material Qbe2 as a plate spring.TABLE I.DESIGN PARAMETERS OF PLATE SPRINGAfter the rest of the design parameters of the plate spring are determined, according to the design parameters of the leaf spring, three different models of the plate spring under different eccentricities are established by using SOLIDWORKS by selecting different eccentricities, as shown in Fig. 3.Eccentricity 0.5mm Eccentricity 1mmEccentricity 1.5mm Eccentricity 2mmEccentricity 2.5mm Eccentricity 3mmEccentricity 3.5mm Eccentricity 4mm Figure 3.Three dimensional model of plate spring with differenteccentricityIV.INFLUENCE OF ECCENTRICITY ON RADIAL AND AXIALSTIFFNESS OF PLATE SPRINGThe finite element method is used to analyze the radial and axial stiffness of plate spring[9-11]. The finite element method has been quoted in many literatures about the performance of plate spring, and it has been proved to be an effective analysis method. In this paper, ANSYS software is used for analysis[12-14].In the process of analyzing the axial radial stiffness of the plate spring, the plate spring material should be defined first, and beryllium bronze in tempered state should be selected. Then divide the Mesh and click "Mesh". This paper adopts global grid control. Select "Mechanical" structural field in "physics Preference". Grid accuracy is "relevant" input 100, and the range of grid accuracy is -100 ~ 100. The more negative the grid is, the coarser the grid will be, and the worse the grid quality will be. The further you go, the finer the mesh, the higher the quality. The meshing result of the plate spring is shown in Fig. 4.Figure 4.Meshing of plate springsAfter mesh generation, constraints and load forces need to be added according to the service conditions of plate springs. In the free piston Stirling heat pump system, it can be considered that the outer edge of the leaf spring is fixed to the shell of the Stirling heat pump part, and the screw hole is fixed to the screw nail and the leaf spring spacer ring. Therefore, the constraint condition is to add reinforcement constraint to the cylindrical surface where the outer edge of the model is located and six screw holes, as shown in Fig.5.Figure 5.Schematic diagram of leaf spring constraintsWhen analyzing the axial stiffness of each plate spring under different eccentricity, apply 5N axial force on the inner surface of the central hole of the plate spring to solve the problem, and observe the cloud chart of the axial displacement of the plate spring under different eccentricity, as shown in Fig. 6.It can be seen from the results of finite element analysis that with the increase of eccentricity, the axial displacement of plate spring decreases first and then increases. Under this design parameter, when the eccentricity is 2.5mm, the axial displacement is the smallest. Therefore, the axial stiffness of plate spring increases first and then decreases with theincrease of eccentricity. The whole process changes smoothly. The change rule of axial stiffness with eccentricity is shown in Fig.7.Eccentricity 0.5mm Eccentricity 1mmEccentricity 1.5mm Eccentricity 2mmEccentricity 2.5mm Eccentricity 3mmEccentricity 3.5mm Eccentricity 4mmFigure 6.Axial displacement nephogram of plate spring with differenteccentricityFigure 7.Variation of axial stiffness with eccentricity When analyzing the radial stiffness of each plate spring under different eccentricity, apply 5N radial force on the inner surface of the central hole of the plate spring to solve the problem, and observe the radial displacement nephogram of the plate spring under different eccentricity, as shown in Fig. 8.Eccentricity 0.5mm Eccentricity 1mmEccentricity 1.5mm Eccentricity 2mmEccentricity 2.5mm Eccentricity 3mmEccentricity 3.5mm Eccentricity 4mmFigure 8.Radial displacement nephogram of plate spring with differenteccentricityIt can be seen from the results of finite element analysis that at the beginning, the radial displacement of the plate spring decreases with the increase of eccentricity, and the radial stiffness increases; when the eccentricity reaches about 3.5mm, the radial displacement starts to increase and the speed of increase is obvious, and the radial stiffness rapidly decreases, and the change rule of radial stiffness with eccentricity is shown in Fig. 9.Figure 9.Variation of radial stiffness with eccentricityV.C ONCLUSIONBased on the analysis of the eccentric involute and the axial stiffness of the spring diameter of the eccentric plate under different eccentricity, combined with the finite element results, the following conclusions are concluded: Through formula , the maximum value of eccentricity can be obtained under different radius of base circle, thus the range of eccentricity can be obtained, which is used to guide the design of eccentric involute plate spring. When the other design parameters of the plate spring are the same, the axial stiffness of the plate spring increases first and then decreases with the increase of eccentricity, the whole process changes smoothly, and the turning point is in the middle of the value range of eccentricity. The radial stiffness of the leaf spring increases first and then decreases with the increase of the eccentric amount. The turning point is at the larger value of the value range of eccentricity, and the radial stiffness decreases at an obvious rate. Therefore, in the design process of eccentric plate spring, after using the radius of the base circle to determine the value range of eccentricity, according to the change rule of radial and axial stiffness with eccentricity and according to the required stiffness under the use condition of plate spring, the eccentricity can be easily determined.A CKNOWLEDGMENTThanks to the University-level Fluid Lubrication Technology Scientific Research and Innovation Team of Xi`an Technological University Funding support the publication of articles.REFERENCES[1]Chen Xi, Yuan Chongyu, Qi Yingxia. Performance analysis andcomparison of flexure bearings with different profile lines [J]. Journal of Beijing University of Aeronautics and Astronautics, 2012,38 (12): 1625-1628.[2]Davey G.The Oxford University miniature cryogenic refrigerator//First lnternational Conference on Advance infrared Detectors and Systems[C].London:IEEE,1981:39.[3]Wong T E,Pan R B,Johnson A L.Novel linear flexurebearing.Cryocoolers 7, Plenum Press,New York,1992:675-698.[4]Wong T E,Pan R B,Marten H D.Ctal Spiral flexural bearing[C].Proc8h Cryo Conf,1994:305-311.[5]Chen Nan, Chen Xi, Wu Yinong, et al. Design and Finite ElementAnalysis of Spiral Flexure Spring [J] . China Mechanical Engineering, 2006,17 : 1261-1265. Doi: 10.3321/j.issn:1004-132X. 2006 .12.014.[6]Chen Nan, Chen Xi, Wu Yinong, et al. Performance analysis of spiralflexure bearing[J].Cryogenics and Superconductivity,2005,33(4):5-8,14.Doi:10.3969/j.issn.1001-7100.2005.04.002.[7]Chen Nan. Study on the key components and performance of amoving magnetic linear compressor for a Stirling cryocooler [D].Shanghai: Shanghai Jiaotong University, 2007.[8]Gan Zhihua, Wang Weiwei, Wang longyi, et al. Optimizationparameters and spiral line analysis of flexure spring for cryocoolers[J].Cryoengineering,2014,(2):1-6,18. DOI:10.3969/j. [9]]Zhou Menglai. Design and dynamic simulation of clearance betweenvalve piston and cylinder of Stirling engine [D]. Jiangsu: Nanjing University of Aeronautics and Astronautics, 2014.[10]Zhang Tong. Research on key technology of design and manufactureof 100W free piston Stirling generator [D]. Jiangsu: Nanjing University of Aeronautics and Astronautics, 2017.[11]Liu xiaohua, ji guolin, xu miaogen. Finite element analysis ofdiaphragm spring in Stirling refrigerator [J] Low Temperature and Specialty Gases,1999(2):28-30.[12]Gao Weili, Chen Guobang, Tang Ke, et al. Finite element analysisand experiment of vortex plate spring [J].Cryogenics and Superconductivity,2009,37(9):5-9,44.DOI:10.3969/j.issn.[13]Chen Xi, Liu Ying, Yuan Chongyu, Zhang Hua, Wu Yinong.Theoretical and Experimental Research on flexible spring based on Fermat curve [J]. Journal of mechanical engineering, 2011,47 (18): 130-136.[14]Yuan Chongyu, Chen Xi, Liu Ying, et al. Finite element analysis ofthree molded lines of flexure springs[J]. Cryogenics and Superconductivity,2011,39(7):21-24,35.DOI:10.3969/j.。
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1. Approaches to the thermal conversion of wood 1.1. Introduction Chemical processes involving a particulate phase are frequently encountered in technical applications, such as reforming, catalytic regeneration or solid fuel combustion in energy generation and waste treatment. Therefore,
information originating from individual particle processes disappears by this approach. However, this contribution deals with the development of a model to resolve the conversion process of a packed bed by describing the individual particle process with sucient accuracy. Therefore, a single particle model is developed, which can be applied to each particle of a packed bed and hence, represents the entire conversion of a packed bed as a sum of single particle processes. The single particle model is based on a system of onedimensional transient conservation equations for mass and energy to predict major properties such as temperature and species distribution inside a particle. The particles are coupled to the surrounding gaseous phase by heat and mass transfer. Due to further application in a packed bed model, the complexity of the particle model is limited. Thus, eects like fragmentation, swelling or the detailed description of the boundary layer surrounding the particle are not included. The combustion of the volatiles outside the particle is dealt with by an overlying model, which will not be discussed here. The applications mentioned above include a variety of particle processes, each characterised by speci®c kinetic parameters. In order to develop an extendable and ¯exible model describing the conversion of wood, a literature survey was conducted to collect various model approaches and identify their structures and common features. Based on chemical and physical behaviour, these can be arranged into heating, drying, various conversion processes, such as pyrolysis, gasi®cation and combustion. The processes are accompanied by species transport in the pore space of a particle due to diusion and convection in conjunction with heat transfer mainly within the solid matrix of a wood particle. The conversion is described by the conversation equations for mass and energy, which can be supplemented by a standard reaction system with the characteristic kinetic parameters expressed in activation energy, frequency factor, reaction order and enthalpy. Furthermore, a description by conservation equations does not bound the reactions either within a ®nite temperature range, so that they take place simultaneously, or in a reaction mode, such as the shrinking or the reacting core mode. This procedure provides the means for uniform treatment of the particle processes. The relevant information is stored in a data base, which through a combination of dierent processes, allows an entire particle process to be represented. Hence, a wide range of applications is covered, which is easily extendable. Wood already includes several of these processes and therefore is chosen for numerical simulation as a representative example in this study. However, applications are independent of the reaction system and the material, since they are implemented as a general concept.
Corresponding author. Tel.: +49-7247-823491; fax: +497247-824837. E-mail address: b.peters@iket.fzk.de (B. Peters).
*
research into a comprehensive model of a chemically reacting packed bed will be bene®cial since basic understanding of the various processes taking place is fundamental to plant design, operation, and innovation. In order to gain a deeper knowledge of the conversion process of a packed bed, the processes may be separated for modelling, so that the in¯uence of each subprocess e.g. submodel on the whole problem can be investigated. Among these subprocesses is the thermal conversion of a packed bed as a particulate phase, which is often treated as a continuous medium by empirical correlations, analytical or numerical methods (Behrendt, 1992; Raull et al., 1998). Consequently, penstrauch, 1994; Kru
0045-6535/01/$ - see front matter Ó 2001 Elsevier Science Ltd. All rights reserved. PII: S 0 0 4 5 - 6 5 3 5 ( 0 0 ) 0 0 2 2 0 - 4
482
B. Peters, C. Bruch / Chemosphere 42 (2001) 481±490
Abstract The objective of this paper is to present a ¯exible and stable simulation method to predict the thermal conversion of wood particles. A combination of several subprocesses such as heating-up, drying, pyrolysis, gasi®cation and combustion of fuel particles of dierent properties and sizes represents the global process of thermal conversion. This approach allows for simultaneous processes e.g. reactions in time and covers the entire range between transport-limited (shrinking core) and kinetically limited (reacting core) reaction regimes. Thus, the model is applicable to simulate suciently accurate the thermal decomposition of each particle in a packed bed, of which the entire conversion is regarded as the sum of all particle processes. Eects such as fragmentation, swelling, homogeneous reactions e.g. ignition outside a particle are excluded as a tradeo between complexity and calculation time. However, a description of the particle processes by one-dimensional and transient dierential conservation equations for mass and energy is feasible to represent the above mentioned subprocesses. The particles are coupled to the gas phase by heat and mass transfer taking into account the Stefan correction due to the gas out¯ow during conversion. A general formulation of the conservation equations allows the geometry of a fuel particle to be treated as a plate, cylinder or sphere. In order to achieve a high degree of ¯exibility, the method distinguishes between data, such as kinetics or material properties and the conversion process, for which relevant data are stored in a data base for easy access and extension. The resulting modules of this subdivision are encapsulated into separate software units cast in a hierarchy of well-de®ned classes in Tools of Object-oriented Software for Continuum-Mechanics Applications (TOSCA) by object-oriented techniques. Ó 2001 Elsevier Science Ltd. All rights reserved.