Critical velocity for superfluid flow across the BEC-BCS crossover

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数字集成电路设计_笔记归纳之欧阳法创编

数字集成电路设计_笔记归纳之欧阳法创编

第三章、器件一、超深亚微米工艺条件下MOS 管主要二阶效应:1、速度饱和效应:主要出现在短沟道NMOS 管,PMOS 速度饱和效应不显著。

主要原因是TH GS V V -太大。

在沟道电场强度不高时载流子速度正比于电场强度(μξν=),即载流子迁移率是常数。

但在电场强度很高时载流子的速度将由于散射效应而趋于饱和,不再随电场强度的增加而线性增加。

此时近似表达式为:μξυ=(c ξξ<),c sat μξυυ==(c ξξ≥),出现饱和速度时的漏源电压DSAT V 是一个常数。

线性区的电流公式不变,但一旦达到DSAT V ,电流即可饱和,此时DS I 与GS V 成线性关系(不再是低压时的平方关系)。

2、Latch-up 效应:由于单阱工艺的NPNP 结构,可能会出现VDD 到VSS 的短路大电流。

正反馈机制:PNP 微正向导通,射集电流反馈入NPN 的基极,电流放大后又反馈到PNP 的基极,再次放大加剧导通。

克服的方法:1、减少阱/衬底的寄生电阻,从而减少馈入基极的电流,于是削弱了正反馈。

2、保护环。

3、短沟道效应:在沟道较长时,沟道耗尽区主要来自MOS场效应,而当沟道较短时,漏衬结(反偏)、源衬结的耗尽区将不可忽略,即栅下的一部分区域已被耗尽,只需要一个较小的阈值电压就足以引起强反型。

所以短沟时VT随L的减小而减小。

此外,提高漏源电压可以得到类似的效应,短沟时VT随VDS增加而减小,因为这增加了反偏漏衬结耗尽区的宽度。

这一效应被称为漏端感应源端势垒降低。

4、漏端感应源端势垒降低(DIBL):VDS增加会使源端势垒下降,沟道长度缩短会使源端势垒下降。

VDS很大时反偏漏衬结击穿,漏源穿通,将不受栅压控制。

5、亚阈值效应(弱反型导通):当电压低于阈值电压时MOS管已部分导通。

不存在导电沟道时源(n+)体(p)漏(n+)三端实际上形成了一个寄生的双极性晶体管。

一般希望该效应越小越好,尤其在依靠电荷在电容上存储的动态电路,因为其工作会受亚阈值漏电的严重影响。

燃机英语 常见报警1

燃机英语  常见报警1

<1>metal金属<2>journal轴颈<3>brg metal temp gen journal #1 high发电机#1轴承金属温度高<4>thrust推力, 轴向压力<5>active主动的, 活动的<6>brg metal temp thrust active 2 high2#主推力瓦金属温度高<7>inactive无行动的, 不活动的<8>brg metal temp thrust inactive 2 high2#副推力瓦金属温度高<9>bolt螺栓<10>protective overspeed bolt trip 超速螺栓保护跳闸<11>relay继电器<12>enabled激活的<13>k25a relay has not been enabledk25同期继电器没有动作<14>atomizing雾化(作用)<15>atomizing air temperature high 雾化空气温度高<16>vent通风<17>compt舱,室<18>heat vent turb compt air temperature high 透平间加热通风空气温度高<19>means方法<20>phase相[位]<21>starting means crank motor temp high phase1-trip 启动马达1#相间温度高跳闸<22>panel面板<23>control panel temperature high 控制盘温度高<24>distillate精华,蒸馏物<25>distillate fuel temperature high 轻油温度高<26>limit界限, 限度<27>liquid fuel temperature out of limit 燃油温度在限值外<28>measure测量<29>crude oil fwd heavy fuel temp measure fault alm 前置重油温度测量故障<30>Resistance电阻<31>Resistance Temperature Detector 电阻式温度检测器<32>failure故障<33>generator rtd high failure 发电机热电阻高故障<34>header集(流, 气, 水)管<35>lube oil header temperature too high 滑油母管温度太高。

喷油螺杆压缩机的流量分析外文文献翻译、中英文翻译、外文翻译

喷油螺杆压缩机的流量分析外文文献翻译、中英文翻译、外文翻译

中文译文4.3 在喷油螺杆压缩机的流量4.3.1 网格生成的油润滑压缩机阳极和阴极的转子有40个数值细胞沿各叶片间的圆周方向,6细胞在径向和轴向方向上的112。

这些形式为转子和壳体444830细胞总数。

为了避免需要增加网格点的数量,如果一个更精确的计算是必需的,一个适应的方法已应用于边界的定义。

时间变化的数量为25,在这种情况下,一个内部循环。

的对阳极的转子转一圈所需的时间步骤的总数是那么125。

在转子中的细胞数为每个时间步长保持相同。

以实现这一目标,一个特殊的网格移动程序开发中的时间通过压缩机转速的确定步骤,正如4章解释。

对于初始时间步长的数值网格图4-15提出。

图4数值网格喷油螺杆压缩机444830细胞4.3.2数学模型的油润滑压缩机数学模型的动量,能量,质量和空间方程问题,如第2.2节所描述的,但一个额外的方程的标量属性油的浓度的增加使石油对整个压缩机性能的影响进行计算。

本构关系是一样的前面的例子。

石油是一种被动的物种在模型处理,这不混合液体-空气的背景。

对空气的影响占通过物质和能量的来源是加上或减去的主要流模型相应的方程。

在这种情况下,动量方程通过拖曳力的影响如前所述。

建立工作条件和从吸气开始全方位1巴压力获得6,7压力的增加,8和9条近450000细胞放电,数值网格对于每一种情况下只有25时间步骤来获得所需的工作条件,其次是进一步的25的时间的步骤来完成一个完整的压缩机循环。

每个时间步所需的约30分钟的运行时间在一个800 MHz的AMD 速龙处理器计算机内存需要约450 MB。

4.3.3对油的数值模拟和实验结果的比较—淹没式压缩机在压缩机中的腔室,在压缩机内的循环的实验得到的压力历史和测得的空气流量和压缩机功率的情况下,测量的速度场担任了宝贵的基础,以验证CFD计算的结果。

要获得这些值,5/6喷油压缩机中,已经描述的,测试安装在压缩机实验室在城市大学伦敦,如图4-16上的钻机。

4-16喷油螺杆空气压缩机5 / 6-128mm(= 90mm)在测试床4.3流的喷油螺杆压缩机该试验台满足螺杆压缩机的接受所有pneurop /程序的要求试验。

有限长碳纳米管中的分子输运(英文)

有限长碳纳米管中的分子输运(英文)
Ab ta t Th r n p  ̄ o el m o e u e n o e n i t . n t i g e wal d c r o a o u e src : e ta s o fh i u m l c l s i p n a d f e 1 g h sn l . l a b n n n t b s ni e e wa t d e s n o - q ib i m s su id u ig n n e ul r i u molc l rd n mi s sm u a i n . e ob e v d t a el m o e u e e u a y a c i lt s W s r e h t h i o u m lc ls we e ta s os d t o g a o u e t h i h mob ly c a a t ie y s p r i u i n A r n ion r r n p e hr u h n n t b s wi t e h g h i h r cer d b u e d 仟 s o . ta st i t z i fO s p r f sOn t e - al t t c u s wh n t e d a r m u e diu i o n arb l i mo i o c r e h i me e a ge h n a t r s o d v u a d 『 i c s on t ri I r r a h e h l ale, n s t t e h r n p h n t e ta s o ̄ i a a n d m ia e y t e s p d f son Th s c a g s c o e y r l t d t a o u e s g i o n t d b h u er i u i . i h n e I l s l e a e o n n t b e d . mu a i n h w h t n s Si l t s s o t a o molc l s a e ta s o e a i l h a o ub s va b l t t n, i h e u e r r n p s d r p d y i t e n n t e / al i mo i wh c , n i c s o

超临界萃取技术英文版(双语)

超临界萃取技术英文版(双语)

Properties of SCF
Gases in fluid state are able to dissolve larger quantities of natural substances. A comparison of typical values for density, viscosity and diffusivity of gases, liquids, and SCFs is presented in the Table。
Solubility of liquids Penetration power of gases
兼具液体的高溶解度和气体的高渗透性
过程易于控制。超临界流体的密度和溶质的溶解性,通过调控压力温 度来改变,是易于做到的操作;
2.Process flexibility: Density of SCF and solubility of a solute in it can be changed in a continuous manner by change of pressure
Supercritical fluid extraction:
SCF as extractant. It also is called as: Pressure fluid extraction; Supercritical gas extraction; Critical solvent extraction.
在流态中气体对许多天然物质都有很好的溶解性,下表比较了气体、 液体以及Sson of physical and transport properties of gases, liquids, and SCFs.
Property Gas SCF

超流体氦

超流体氦

超流体是超低温下具有奇特性质的理想流体,即流体内部完全没有粘滞。

液态氦-4在冷却到2K以下时,开始出现超流体特征Superfluid is under ultra-low temperature has the unique properties of ideal fluid, namely internal no viscous fluid. Liquid helium - 4 when cooled to below 2 k, began to appear in excess of the fluid characteristics.So when helium temperature down to about 2 k, the nature of the fluid performance surplus, it can penetrate the wool stoma and climbing phenomenon所以当氦的温度下降到2 k时,表现出超流体的性质,它能穿透毛细孔并且有爬壁现象超流体是一种物质状态,特点是完全缺乏黏性。

如果将超流体放置于环状的容器中,由于没有摩擦力,它可以永无止尽地流动。

它能以零阻力通过微管,甚至能从碗中向上“滴”出而逃逸。

当温度降到所谓的λ点的时候,液氦就会发生相变,由普通流体突然转变为超流体。

这个λ点是零下271度,此时液氦的粘滞性完全消失,可以展现出一些非常奇妙的特性,例如穿透毛细孔和爬出容器。

穿透毛细孔:我们知道,所有的普通流体都有粘滞性,因而无法穿透陶瓷材料中的毛细孔。

而超流体由于没有粘滞性,就可以毫不受阻地穿过陶瓷杯底的毛细孔。

从上面这个视频可以清楚地看到,当液氦变成超流体之后,杯中液面迅速下降,就好像杯底只是一张网一样。

爬壁现象:我们都见过玻璃容器中的水面总是呈现凹下去的形状,这是因为水分子跟玻璃分子之间的作用力大于水分子之间的作用力,所以水沿着容器壁向上爬了一点点,但由于液体都有粘滞性,所以不可能无限制地向上爬。

物理光学专业英语名词总汇

物理光学专业英语名词总汇

Coordinate Systems(笛卡尔系)Cartesian, cylindrical(polar), spherical(直角、柱、球)Vectors and Scalars(矢量、标量)magnitude(大小,量纲,量级)an order of magnitude, two orders of magnitude(两个数量级)productscalar product (dot product)(点积)vector product (cross product)(叉积)Newtonian Mechanics(牛顿力学)Object: s peed velocity mechanical energy(机械能):(scalar)(vector)potential energy(势能)Kinetic energy(动能)Acceleration gravitational force(万有引力)Mass(质量)Density(密度)V olume(体积)weight(gravity)(重力)Friction(摩擦)non-conservative force(非保守力)restoring force(回复力)Momentum(动量)moment(torque)(力矩)uniform motion(迅速运动)uniform dielectric(迅速直线)Oscillations and Waves(振荡和波)Vibration(振动)Damped(有阻尼的)periodic motion(周期运动):equilibrium position (平衡位置)displacement(位移)simple harmonic motion(简谐振动):spring (stretch, compress)(绳的伸长与压缩)Amplitude(振幅)Cycle(周期)frequency(megahertz)(频率)Wavelength(波长)(meter decimeter /分米centimeter /厘米millimeter /毫米nanometer/纳米micron/微米)traveling wave(行波)standing wave(驻波)crest(波峰)trough(波谷)Light and Opticselectromagnetic wave(电磁波)electromagnetic radiation(电磁辐射)electromagnetic spectrum: (光谱):visible light(可见光)radio wave(无线电)Infrared(红外线)ultraviolet (UV)(紫外线)Gamma rays(r射线)X-rays(X线)Photon(光子):atom(原子)molecule(分子)Electron(电子)neutron(中子)Proton (质子)ion(离子)Nucleus (原子核)nuclei(复数形式)Light: Reflection(反射):(全反射):total internal reflectionRefraction(折射)Diffraction(衍射):central maximum/ minimum(中心最大/最小)secondary/ side maximum (次级大)Dispersion(散射)Interference(干涉):(相干光)coherent wave (光程差) optical path difference (相位差phase difference/ shift (同/不同相)in phase/ out of phase (奇/偶整数倍)odd/even integral multiple(叠加) superposition/ superpose (相长/相消)constructive/ destructive Newton's Rings(牛顿环):concentric ring pattern(同心圆环)Monochromatic light(单色光)Polychromatic(复色光)Diffraction Grating(衍射光栅):be ruled with......(被刻/画)Polarization (偏振):linear/ plane、elliptical、circular(线、椭圆、圆偏振)counterclockwise/ anticlockwise(逆时针)Birefringence(双折射):Double refraction(双折射)Isotropic/anisotropic(各项同/异性)Orientation(方向)Lattice(晶格)dielectric constant(介电常数)magnetic permeability(磁导率)Cleavage(解理)The Ordinary ray(寻常光)The extraordinary ray(非寻常光) Optical Activity(旋光性)Guided-Wave Optics / Integrated Optics(导波/集成光学):① component(分量、组成)integrate(集成)substrateChip (芯片、薄片)miniaturize(小型化)②propagate(传播)Collimate(校准、使平行)focus(聚焦)scan(扫描)broaden(扩展)Split(分离)combine(结合)isolation(隔离)couple(耦合)Switch(交换)detect(探测)modulate(调制)planar/ slab waveguide(平面波导):Infinite(无限的)Interface(表面)zig-zag waves(锯齿波)critical angle(临界角)guided mode(导摸)strip waveguide(条形波导):Confinement(限制)Dimension(维度)raised strip(凸起型波导)embedded strip(嵌入式波导)ridge/ rib guide(几型波导)strip-loaded guide(加载型波导)active/ passive device(有源/无源设备)fiber (光纤) :Core(芯)Cladding(包层)Diameter(直径)single mode/ fundamental mode(单/基模)Multimode (多模)input pulse(输入脉冲)incident angle(入射角)intermodal dispersion(模间散射)Temporal(暂时的)signal broadening(信号展宽)step-index/ abrupt transition(阶越传播)gradient-index/ graded transition(渐变传播)Others:directly/ inversely proportional to(成正/反比)Microscope(显微镜)current(电流)circuit(电路)V oltage(电压)Power resistance (抵消)positive/ negative charge(正/负电)attract/ repel (吸引/排斥)prism perpendicular/ vertical/ orthogonal/ normal(垂直的)Parallel lens/ convex/ concave(凸/凹)cross section()Curvature(曲率)Light Fantastic:solar wind(太阳风)aurora(极光)Transparent(透明的)Translucent(半透明的)filter(滤光片)crossing the filter The science of super cool(超导):absolute zero: minus 273.2 degrees celsius Liquid liquefy(液化)Hydrogen(氢)Helium(氦)Nitrogen(氮)Coolant(冷却剂)Superfluid(超流体)Viscosity(黏度)Superconductor(超导体)magnetic levitation(磁悬浮)levitating train/ Maglev(磁悬浮列车)Joseph Son Junction。

潍柴汽车产品说明书

潍柴汽车产品说明书
CONTINUED
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A type-A-choking-oriented unified model for fast fluidization dynamics

A type-A-choking-oriented unified model for fast fluidization dynamics

A type-A-choking-oriented uni fied model for fast fluidization dynamicsMing-Chuan Zhang ⁎,Chu ZhangSchool of Mechanical Engineering,Shanghai Jiao Tong University,Shanghai 200240,Chinaa b s t r a c ta r t i c l e i n f o Article history:Received 9October 2012Received in revised form 24January 2013Accepted 26January 2013Available online 13March 2013Keywords:Fast fluidizationSeparate-phase model Type A choking Solids holdupHigh-density fast-bedStarting from analysis to Yang's formula for type A choking,a uni fied and self-consistent model for fast flu-idization dynamics,named the separate-phase-coexistence model,was proposed in this paper.The basic assumptions used in the model are that all the gas from outside enters the solid-saturated upward dilute phase,to which the Yang's formula is still applied,yet revised with an effective velocity factor F (β);while the clusters fall down freely at a velocity consistent with their voidage.The impact of falling clusters on the upward dilute phase was considered with the equivalent wall friction,from which the method to predict the apparent solids holdup of upper dilute region was obtained.The force balance for falling clusters was also an-alyzed,from which the cluster voidage was determined.When the cluster viodage reaches its minimum value,a small part of outside gas will invade the cluster,resulting in the so-called “secondary fluidization of clusters ”.It well predicted that the solids holdups of upper dilute region and bottom dense region did not change obviously with further increase of the solid circulation rate,the most impressive feature of high-density fast beds.Further-more,by analogy to bubbling beds,the phenomena of clusters in risers of fast beds were analyzed in a meso-scale mechanism,from which the effective velocity factors of dilute phase F (β)were theoretically determined.And the solid-wall friction factors in Yang's formula and the Harris's correlation for cluster size were also reconstructed based on the experimental data available in the literatures.Without any model parameters adjusted,the uni fied model predicted successfully the type C choking,the solids holdups for both upper dilute region and bottom dense region,and the transitions to high-density fast bed and dense suspension up-flow.The predictions were compared with several hundreds of experimental data available in the literatures,which veri fied well the model's uni fication and acceptable accuracy.©2013Elsevier B.V.All rights reserved.1.IntroductionFast fluidization or circulating fluidized bed (CFB)has attracted people more and more attention in chemical,metallurgy,energy en-gineering and other applied fields as an ef ficient gas-solid contacting technology [1–3].With certain rate of particle circulation,fast fluid-ization provides the possibility that small particles could be operat-ed under quite high gas velocity due to agglomeration of particles in the CFB riser.Under this condition,the fast fluidized bed is charac-terized by a non-uniform axial distribution of particle concentration,where the solids holdup is small in the top,and large in the bottom.The basic requirements to form a fast fluidized bed are generally de-scribed as [4]:i)the circulating solid flux G s is greater than the min-imum value of that G sm ;and ii)for a given solid flux G s >G sm ,the super ficial gas velocity u f is kept within the range of velocities for type A choking and type C choking,i.e.u ch,C b u f b u ch,A .A large number of studies have been done to find how these char-acteristic parameters change with properties of the gas and the solid,the system geometry,and operating conditions.Empirical correla-tions were usually given in the form of non-dimensional criteria.For example,correlations for different types of choking were given by Yang [5,6],Yous fiand Gau [7],and other researchers [8–10].There were also quite a lot empirical correlations of solids holdups for both the upper dilute region and the bottom dense region [11–15].However,most of these studies were carried out separately;there were little physical relations among them.In some cases,incompatible results would be predicted from these empirical correlations,for in-stance u ch,A b u ch,C .On the other hand,the recently recognized “high density fast fluidization (HDFF)”[16]and “dense suspension up-flow (DSU)”[17]have shown some different two-phase-flow behaviors.How these flow regimes relate with the traditional one are also not clear.The present work tried to establish a self-consistent model for fast fluidization dynamics,in which all the characteristic parameters mentioned above can be easily deduced from a same origin;and the uni fied model can be applied for both traditional fast fluidized bed and high density fast fluidized bed.2.Theoretical considerations 2.1.Start point of the modelConcepts of choking in vertical upward co-current gas –solid systems have been used for a long time to describe some critical conditions,atPowder Technology 241(2013)126–141⁎Corresponding author.E-mail address:mczhang@ (M.-C.Zhang).0032-5910/$–see front matter ©2013Elsevier B.V.All rights reserved./10.1016/j.powtec.2013.01.070Contents lists available at SciVerse ScienceDirectPowder Technologyj o u r na l h o me p a g e :ww w.e l s e v i e r.c o m /l o c a t e /p o w t e cwhich the two-phase flow system cannot run properly or ef ficiently.For systems with different application purposes,the de finitions may also be different.In a pneumatic conveying system,the choking is usually de-fined as the onset of particle precipitation downward,which makes the transportation less ef ficient.However,it doesn't breach the system operation as a whole.On the opposite,in a CFB riser the choking is usu-ally de fined as a critical condition,at which a small decrease of operat-ing gas velocity or increase of circulating solid flux will cause signi ficant increase of bed pressure drop,leading to collapse,to some extents,of the whole system.Differences of the two types of choking did not get enough attention until Bi and Grace [18],where the former was de fined as the accumulative choking or type A choking,and the latter as the classical choking or type C choking.Predictions to type A choking and type C choking are obviously im-portant for fast fluidization,since they will determine the allowable ranges for gas velocity or solid circulation flux.There were quite a lot of formulas developed in the past to correlate the gas velocities and the solid fluxes at the two types of choking.However,only one of them can be chosen as the start point of the uni fied model,while the other should be deducted from the chosen one.Considering the re-search history for pneumatic conveying system is much longer than that for fast fluidized bed,and the two-phase flow structure in the for-mer is much simpler than that in the latter,it is believed that the theo-retical and experimental bases for type A choking are more reliable and universal.Among the numerous formulas existed in the literatures for type A choking,the form of Yang's formula [5,6]looks the best,since deriva-tion of the formula involves only two theoretical deductions.The first one is that the terminal velocity of particles for a uniform suspension of voidage εin a riser of diameter D t can be calculated from Eq.(1).u 0t ¼u t ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi1þf p u 2pt!Âε4:7v u u t ð1ÞWhere,u p =G s /[ρs (1−ε)]is the particle velocity,while f p stands for the solid-wall friction factor.This is a theoretically logical formula,and detailed derivation and discussion on that can be found in Yang's series work from 1973to1975[5,19,20].The second deduction is when type A choking happens,the slip velocity between gas and solid,i.e.the terminal velocity of a particlesuspension in a finite diameter riser u t',is just equal to the terminal velocity of a single particle in the in finity u t [5,6].u 0t ¼u tð2ÞThis deduction was actually used in the derivation of Yang's pre-dictive equation [5,6](Eq.(3)),but was not clearly declared and explained in his work.2D t g ε−4:7ch −1 u ch −u t ðÞ2¼f p ð3ÞThe followings are the present authors'try to explain “what does the deduction really mean?”It can be seen from Eq.(1),the first item withsquare root sign ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi1þf pu 2p2gD tr represents the in fluence of wall friction onu t',since it will always be unity in an in finitely wide riser.When D t gets smaller,the wall friction gets greater,then u t'gets greater.The second item with square root sign ffiffiffiffiffiffiffiffiε4:7p represents the in fluence of bed voidage,i.e.the in fluence of surrounding particles.When the particleconcentration (1−ε)gets greater,εgets smaller,then u t 'gets smaller.The reason is that the surrounding particles will cause both increase ofreal gas velocity ffiffiffiffiffiε2pand more flexuous flow-pass of gas around theparticle,then increase of the drag force coef ficient ffiffiffiffiffiffiffiffiε2:7p[21].There-fore,the amendment of u t 'is on the basis of super ficial gas velocity.If we resolve the increased fluid drag on one particle in a uniform suspension into the basal fluid drag on a single particle F f and the sur-plus F s due to the surrounding particles,the overall force balance for the suspension,or a single particle in a long time duration,can be expressed asF f þF s ¼G þW ð4Þwhere,G stands for the gravity of particle or particle suspension,whileW for the wall friction.Comparing the values of F s and W ,two different situations can be distinguished.For a relatively dilute suspension,the drag force caused by the surrounding particles is relatively small,resulting in F s b W ,and then F f >G .The fluid drag given by the gas solely F f is greater than the gravity of the particle,which means that besides supporting the particle there will be something rest to balance the wall friction,simply shown as F f −G =W −F s .This will be a relatively simple dy-namic system centered on each single particles;the relatively indepen-dent movement of these particles will lead to a uniformly dispersed gas-solid two phase flow,i.e.the custom dilute suspension transporta-tion.On the opposite,if we have F s >W and F f b G ,the fluid drag given by the gas F f will no longer be able to support the particle gravity solely,but needs something else from the surrounding particles,simply shown as F f +(F s −W )=G .Then the force balance for any particle will depend more on the others,making the dynamic system more complex and easier to lose its uniformity.For instance,an occasionally local condensation of particles will result in less gas flowing through them and decrease of F f ,which will make these particles to move close further to increase F s as the overall force balance needs.This may probably be the physical reason of cluster formation for the case of F s >W .Therefore,what can be used to separate the two different types of flows mentioned above is just the criteria of F s =W or F f =G ,i.e.u t'=u t from their de finitions.It means that the in fluence of finite riser diameter D t on u t'is just compensated by the in fluence of bed voidage εat the type A choking.At this unique condition,the moving particle looks as if there is neither wall nor surrounding particles.The authors suggest that this is the real meaning of the deduction,and then can be seen as the physical essence of type A choking.Just because of its sound physical meaning,the relationship given by Eq.(3)for the super ficial gas velocity and the bed voidage under solid-saturated conditions (type A choking)can be considered as “inherent ”,then the equation as “constitutive equation ”.However,it should also be pointed out here,the functional relation of u ch and εch is the most important in Eq.(3),but not the value of f p at this moment.Actually,the solid friction factor f p =0.01was taken originally by Yang in 1975[5],and changed later to the present form in 1983[6]f p ¼6:81Â105ρgρs2:2:ð5ÞThe rationality or accuracy of above mentioned values for f p will bediscussed in detail and re-correlation of f p with more experimental data will be made later in Section 3.3.For the time being,the solid fric-tion factor used in the calculations before Section 3.3was f p =0.01,the value given in 1975[5],since it was better than the other according to the accuracy evaluation of Xu et al.[10].2.2.Physical description of the modelAs we discussed above,Eq.(3)shows the relationship of super ficial gas velocity u ch and bed voidage εch under solid-saturated conditions,127M.-C.Zhang,C.Zhang /Powder Technology 241(2013)126–141i.e.type A choking.For a given fluidizing system,when u ch increases,εch will decrease;then the particle concentration (or solids hold-up)(1−εch )increases,and the saturation carrying capacity of gas G s ⁎will increase even faster.G Ãs ¼ρs u ch −u t ðÞ1−εchεchð6ÞThe equation derived here is a little bit different from what was used in Yang's articles [5,6]by 1/εch ,since the modi fication of ffiffiffiffiffiffiffiffiε4:7p includes also the in fluence of the gas velocity ffiffiffiffiffiε2p ,then the real par-ticle velocity is (u ch −u t )/εch .As an example,Fig.1shows the cal-culated results of (1−εch )and G s ⁎varied with u ch for a FCC-air fluidizing system.It can be seen from the figure that the saturation carrying capacity G s ⁎varies with the super ficial gas velocity u ch in an exponential form with power >1.Just because of this special relationship between G s ⁎and u ch ,one can imagine when the circulating solid flux is greater than G s ⁎at a given gas velocity,the system will not completely collapse but run in a more complicated separate-phase-coexistence mode.Some par-ticles will segregate from the gas stream and get agglomerated to form a free-falling dense phase (clusters),which occupies a part of the riser cross-sectional area,but without outer gas getting in;while in the rest of the riser,more concentrated gas with higher ve-locity could carry even more particles upward in the form of dilute phase.Without outer gas getting in clusters is a logical deduction from two-way stability analysis,and is coincident with Mueller and Reh's investigation [22],i.e.“the acceleration of particle inside the strand (cluster)is equal to the acceleration of free fall,which implies that no drag force acts on the particle within the strand ”[21].Let βbe the cross-sectional area fraction occupied by the falling dense phase or clusters,which is also the volume fraction of randomlydistributed clusters;m s−as the corresponding solid flux downward,and m s +as the solid flux upward in solid-saturated dilute phase.Both m s+and m s −are de fined on the basis of the total cross-sectional area,but not their own occupied.Then,the solid flux circulating into the riser G s can be expressed as G s ¼m þs −m −s :ð7ÞThe sketch map for m s +and m s −varied with βat a constant gas velocity is shown in Fig.2.It can be seen from the figure,if we haved m þs d βj β¼0>d m −sd βj β¼0;ð8Þthe separate-phase-coexistence mode can really transport more par-ticles upward in the riser than the saturation carrying capacity ofgas at type A choking,i.e.G s =m s +−m s −>G s ⁎.This will be trueuntil a critical point β=βch is reached,where d m þs d βj β¼βch ¼d m −sd βj β¼βch;ð9Þand the transportable solid flux at the given gas velocity takes its max-imum value G s,max .Beyond this point the separate-phase-coexistence mode has no more ability to balance the excess solid flux,leading to the system being totally “collapsed ”,i.e.the type C choking.The analysis above indicates also that the critical requirement for separate-phase-coexistence mode is d m þs d βj β¼0¼d m −sd βj β¼0:ð10ÞThis criterion can be used for determination of G sm ,which will bediscussed later elsewhere.As a sum,the key points af firmed or the basic assumptions to be used in the uni fied model are as follows:i)the relationship between bed voidage εch and gas velocity u ch given by Yang's formula for type A chok-ing can be seen as “inherent ”or “constitutive ”for solid-saturated dilute phase,which provides the theoretical basis of the model;ii)with neces-sary amendment,this relationship can also be applied for the solid-saturated upward dilute phase when coexisted separate-phases appear;and iii)in the separate-phase-coexistence mode,all the gas from outside enters the solid-saturated upward dilute phase,while the clusters fall down freely at a velocity consistent with their voidage (ex-cept for HDFF or DSU).3.Mathematical model kernels3.1.Model kernels3.1.1.Dilute phase modelAs discussed above,at type A choking,the very beginning of the separate-phase-coexistence mode (β=0),the gas –solid slip velocity can take the value of terminal velocity of a single particle u t .When separate phases visibly appear,due to the impact of falling clusters,it is expected that the saturation carrying capacity per unit gas in the dilute phase will be less than that for β=0.It means that the gas –solid slip velocity in this case has increased.However,this im-pact can also be expressed by decrease of the effective gas velocity in dilute phase,while keeping the slip velocity unchanged.This can123456G *s (k g /m 2s )u ch (m/s)1-c hεFig.1.Saturated carryings G s ⁎and solid concentration (1−εch )at different gas velocity u ch (FCC –air system,ρs =1620kg/m 3,d p =100μm,D t =0.1m).G s ,m sG *schββFig.2.Sketch map for m s +and m s −varied with βat constant gas velocity.128M.-C.Zhang,C.Zhang /Powder Technology 241(2013)126–141be easily done by using an effective velocity factor of dilute phase F (β)b 1in the calculation.Thus,the upward solid flux based on unit dilute phase area can be expressed as G þs ¼ρsu f F βðÞ−u t !1−εch εch ;ð11Þand the relationship between the calculation velocityu Ãch¼u f F βðÞ1−βand the solid-saturated dilute phase viodage εch still fits the revised Yang's formula,as we discussed above.Therefore,the super ficial up-ward solid flux de fined on the basis of the total cross-sectional area of the riser will be m þs ¼ρs u f F βðÞ−u t 1−βðÞ½1−εchεch:ð12ÞFrom the analysis above,the function F (β)chosen should meet the requirements of F βðÞj β¼0¼1;andd F βðÞd βjβ¼0¼0:ð13ÞThe simplest form of that is F βðÞ¼1−c βn:ð14ÞAs βincreases,the impact of falling clusters gets greater andgreater.The upward solids flux of dilute phase m s+will reach its max-imum,then decrease gradually until slugging occurs at β=1.Sincethe solid flux m s+at slugging is still finite but not zero,it can be roughly estimated that m s +|β=1=G s ⁎,i.e.the saturation carryingcapacity of gas at type A choking G s ⁎(see Fig.2).From that,we haveρs u f F 1ðÞ½ 1−εslεsl ¼ρs u f −u t ½ 1−εch ;A εch ;Að15Þwhere F (1)is the value of F (β)at β=1;εsl and εch,A are the bedvoidages for slugging (β=1)and type A choking (β=0),respec-tively.Therefore,F 1ðÞ¼1−u t f1−εch ;A εch ;A εslsl:ð16ÞSuppose the solid span equals to the gas span when slugging occurs,and the voidage equals εmf in the solid span,then we have the average asεsl ¼1−1−εmf ðÞ=2:ð17ÞFinally,the effective velocity factor of dilute phase F (β)can be calcu-lated asF βðÞ¼1−1−F 1ðÞ½ βn:ð18Þ3.1.2.Dense phase modelThe sub-model for dense-phase or falling clusters is relatively simple in form,i.e.m −s ¼ρs βu cl 1−εcl ðÞ:ð19ÞAs we mentioned above,the falling velocity of clusters u cl should be in consistence with their voidage εcl to keep the outside gas flow within the cluster being zero.Therefore,the modi fied Richardson –Zaki'sequation [23]must be satis fied for the force balance of gas-particles in-side of clusters,i.e.u cl ¼u tεcl1m¼u t εm cl :ð20ÞHere,m ¼lg u mfu t=lg εmf ;ð21Þand εmf =0.45was used in the following calculations.However,to determine both εcl and u cl ,a supplementary condi-tion is needed.This will be discussed later in Section 5.1,i.e.the weight of clusters should be balanced by the inter-phase drag,which can be solved with other parameters together through itera-tions.Nevertheless,for the initial value of εcl with iteration or a sim-pli fied calculation (no iteration)a rough estimation is still needed.According to the experimental data collected by Harris and Davidson [24],the solid concentration in clusters can be seen approximately twice of that in the dilute phase.Then,we have εcl ;0¼1−21−εch ðÞ¼2εch −1:ð22Þ3.1.3.Empirical estimation of model parameter nAccording to the derivations above,the model equations can be used in following procedures.i)The type A choking velocity u ch,A is calculated for a given solids flux G s (>G sm ).ii)Decrease super ficialgas velocity to make u f b u ch,A ;then,m s+and m s −are calculated by using different βuntil G s =m s +−m s −is satis fied;the voidage of upward dilute phase εch at the operating velocity u f is then deter-mined.iii)Repeat the steps above until type C choking occur;the type C choking velocity u ch,C is finally ing a different model parameter n ,the variations of dilute phase voidage εch with operating gas velocity u f for a FCC –air system (D t =0.1m,the typ-ical diameter of laboratory scale risers)are shown in Fig.3.It can be seen from the figure,when the operating gas velocity u f is close to u ch,C ,a small reduction of gas velocity will cause a great increase of bed concentration (1−ε).That is the characteristic feature of type C choking.It can also be seen from the figure,as n gets greater,the type C chok-ing velocity calculated gets smaller.Then,the empirical correlation0.920.930.940.950.960.970.980.991.00u f (m/s)u ch,CεFig.3.Variations of dilute phase voidage εch with gas velocity u f calculated from different n for a FCC –air system (D t =0.1m,ρs =1620kg/m 3,d p =100μm,G s =100kg/(m 2s)).129M.-C.Zhang,C.Zhang /Powder Technology 241(2013)126–141given by Yous fiand Gau [7](Eq.(23)),which was veri fied to be the best for type C choking [10],can be used to estimate the proper value of n .u ch ;C ffiffiffiffiffiffiffiffigd pq ¼32Re −0:06tG s g u ch ;C!0:28ð23ÞFrom this kind of “calibration ”,the model parameter n =4.5can be chosen for a simpli fied version of the model without iteration.More fundamental determination of the model parameter n will be given in detail in Section 3.2later.Fig.4shows the comparison be-tween the model predictions with n =4.5and those given by Eq.(23),for both FCC –air and sand –air systems with different parti-cle sizes (50,100,150and 200μm)and solid fluxes (50,100and 200kg/(m 2s)).The result looks quite satisfactory.3.2.Mechanistic determination of F(β)and nThe wake effect was used quite often in the literature to explain how the cluster was formed in a CFB riser.For example,Basu et al.stated in their Book [25],“For a given velocity,the feed rate may be increased to a level where the solid concentration will be so high that one particle will enter the wake of the other.When that hap-pens,the fluid drag on the first particle will decrease,and it will fall under gravity to drop on the trailing particle.The effective surface area of the pair just formed is low,and so the fluid drag will be lower than their combined weight,making the pair fall further to collide with other particles.Thus an increasing number of particles combine together to form particle agglomerates known as clusters.These clusters are,however,not permanent.They are continuously torn apart by the up-flowing gas.Thus,the formation of clusters and their disintegration continue.”Though most of these words were actually from analytical consequence only,the description was quite reasonable.Recently,He et al.carried out an excellent PIV measurement for particle movement in a CFB riser [26]showing clearly the details of this phenomenon as in Fig.5(a)and (b).They described in their arti-cle,“it can be easily seen that a cluster is followed by a wake,in which particles move downward quickly ”,and “when a cluster is passing by,the particles are dragged down at a higher velocity ”.Be-sides a very clear veri fication of the wake effect,the measurement showed that those particles moved towards the cluster at velocitiesof the same order for up-flowing ones,which will result in a notable deposition on the back side of the cluster.And due to the size limitation for a stable cluster,there must be the same quantities of particles pouring out the cluster from its nose.The continuous deposition and pour out of those particles will cause the downward displacement of particles inside the cluster,too.The particles moving towards the clus-ter in the wake,the inside displacement,and the front pour out can then be viewed as an integrated penetration of these particles through the cluster.From this point of view,the phenomenon can be analogous to what happens around a rising bubble in a bubbling bed as shown in Fig.1(c)[27].It can be seen that except the directions are opposite-down,the flow patterns of the two are quite similar.Furthermore,through phase reversal the following correspondences could be easily af-firmed.(1)A falling cluster with concentrated particles vs.a rising bubble with null or few particles;(2)the upward dilute flow around the cluster vs.the downward dense particle flow around the bubble;(3)the downward penetrating particle flow through the cluster vs.the upward penetrating gas flow through the bubble.The scenarios in CFB risers described above are quite in consistent with the results from detailed numerical simulations by combining the two-fluid model with the EMMS approach [21],i.e.“the particles tend to enter into clusters instead of suspending in dilute broth (phase),whereas the gas tends to pass around,instead of penetrating through,the dense cluster phase.”[21]Then,some results obtained for bubbling beds may also be used to estimate the in fluence of fall-ing clusters on the upward dilute phase,as explained below.Suppose that a spherical cluster of voidage εcl falls down in a di-lute suspension with a constant pressure gradient d p /dz =−J ,i.e.the pressure drop per unit riser height which can be calculated in the way described in Section 4.1below.If we put the cluster in a sur-rounding bed with the same voidage εcl ,the through flow penetrat-ing the cluster u fu under the pressure gradient −J would be the same as that in the surroundings.On the other hand,the cluster is also penetrated by a particle flow from the opposite direction,which results in a downward displacement of particles at u sd inside the cluster,as we discussed above.To keep the gas flow inside the cluster being null,which is a primer assumption for the model estab-lishment,there must be u sd =u fu .Just because the null flows inside of cluster,the pressures everywhere inside are constant.Therefore,the isobars above and below the cluster will get condensed,which will then suck more gas flowing through the cluster.Though the cluster is full of particles,it functions as an empty bubble.According to the well-known Davidson's model for a single bubble immerged in an incipiently fluidized bed [27],the total volume flow-rate through the cluster is q ¼3u pen πR 2clð24Þwhere R cl stands for the radius of the cluster,and u pen stands for the super ficial percolation velocity in a packed bed of voidage εcl under the pressure gradient −J .It can be easily calculated by the Ergun's equation or the extended Ergun's equations [21,28],i.e.Ergun's for εb 0.8and Wen's for ε≥0.8.Then the interstitial gas velocity through the cluster,which will be counteracted finally by the down-ward displacement of particles inside,can be written asu sd ¼u fu ¼3u pen =εcl :ð25ÞIn bubbling fluidized beds [27],rising bubbles can be classi fied as the fast bubble or the slow bubble,according to the ratio of the bub-ble rising velocity u br to the interstitial gas velocity far away from the bubble u f,∞.For a fast bubble [27],i.e.u br >u f,∞,the gas leaves at the top of the bubble will be sucked in again from the bottom;the1.01.52.02.53.03.54.0u c h ,C (m /s ,t h i s m o d e l )u ch,C (m/s,Yousfi & Gau)parison of model predictions for type C choking (n =4.5,D t =0.1m)and those from Yous fiand Gau [7].130M.-C.Zhang,C.Zhang /Powder Technology 241(2013)126–141。

CEPC双环QD0QF1物理设计参数

CEPC双环QD0QF1物理设计参数

CEPC双环QD0QF1物理设计参数CEPC是中国元素粒子碰撞机(Circular Electron Positron Collider)的缩写,双环QD0QF1是它的设计参数之一、CEPC旨在成为中国未来的高能物理实验设施,用于研究粒子物理学、加速器物理学等领域。

双环QD0QF1是CEPC中的一个特定部分,下面将详细介绍它的物理设计参数。

双环QD0QF1是CEPC的双环同步加速器的一部分,作为注入器和加速器的关键组成部分之一、它由两个环形加速器组成,分别为QD0和QF1、其中,QD0是位于QF1内的一个小半径四重极磁铁,用于产生垂直于轨道的磁场,以控制和调节电子和正电子的轨道。

QF1是位于CEPC环中的一个大半径四重极磁铁,用于加速电子和正电子的束流。

双环QD0QF1的物理设计参数需要满足CEPC的要求,包括能量和精度等方面。

根据CEPC的设计要求,双环QD0QF1的设计能量为240GeV,这是为了实现粒子碰撞实验所需的高能量。

除了能量要求外,双环QD0QF1的设计还需要满足较高的轨道精度和稳定性要求,以确保粒子束流的准确注入和加速。

首先,双环QD0QF1的设计中需要考虑磁铁的参数。

磁铁需要提供足够的磁场强度,以使电子和正电子束流在加速器内保持稳定的轨道。

磁铁的设计参数包括磁场强度、磁场均匀性以及磁场方向的稳定性等。

其次,双环QD0QF1的设计还需要考虑束流传输的效率和精度。

束流传输的过程中需要考虑到束流的进出口条件以及束流的传输过程中的粒子损失等问题。

因此,双环QD0QF1的物理设计参数还需要考虑束流传输的要求,包括束流注入和提取效率,束流损失的控制以及束流传输过程中的精度等。

最后,双环QD0QF1的物理设计还需要考虑加速器的稳定性问题。

加速器的稳定性对于CEPC的运行非常重要,可通过设定一定的设计参数来满足要求。

为了保持加速器的稳定运行,双环QD0QF1的物理设计需要考虑到加速器的共振频率、阻尼机制以及对加速电子和正电子的加速度的控制等因素。

swirlflow—fluent常见问题

swirlflow—fluent常见问题

swirlflow—fluent常见问题The Single Reference Frame (MRF) ModelSolution Strategies for a Rotating Reference Frame:(Segregated solver only) Consider switching the frame in which velocities are solved by changing the velocity formulation setting in the Solver panel. (See Section 10.2.5: Choosing the Relative or Absolute Velocity Formulation for details.) (Segregated solver only) Use the PRESTO! scheme, which is well-suited for the steep pressure gradients involved in rotating flows.Ensure that the mesh is sufficiently refined to resolve large gradients in pressure and swirl velocity.(Segregated solver only) Reduce the under-relaxation factors for the velocities, perhaps to 0.3{0.5 or lower, ifnecessary.Begin the calculations using a low rotational speed, increasing the rotational speed gradually in order to reach the final desired operating condition (see below).The Multiple Reference Frame (MRF) Model(is recommended for steady state)limits:Use of the realizable k-e model with multiple reference frames is not recommended.Strictly speaking, the use of multiple reference frames is meaningful only for steady flow. However, FLUENT will allow you to solve an unsteady flow when multiple reference frames are being used. In this case, You should carefully consider whether this will yield meaningful results for your application.Particle trajectories and pathlines drawn by FLUENT use thevelocity relative to the cell zone motion. For massless particles, the resulting pathlines follow the streamlines based on relative velocity and are meaningful. For particleswith mass, however, the particle tracks displayed are meaningless. Similarly, coupled discretephase calculations are meaningless. An alternative approach for particle tracking and coupled discrete-phase calculations with multiple reference frames is to track particles based on absolute velocity instead of relative velocity. To make this change, use thedefine/models/dpm/options/track-in-absolute-frame text command. If you enable the track-in-absolute-frame option, the injection velocities are specified relative to the absolute frame.You cannot accurately model axisymmetric swirl in the presence of multiple reference frames using the relative velocity formulation. This is because the current implementation does not apply the transformation used inEquation 10.3-3 to theswirl velocity derivatives.Translational and rotational velocities are assumed to be constant (time varying w, vt are not allowed).The MRF Formulation:(define--->solver velocity formulation ) The relative velocity formulation is recommended, due to faster convergence, in cases where the flow in the rotating frame of reference is mostly rotating with the speed of the rotor, while the flow in the remainder of the domain is mostly slow.In general though, the absolute velocity formulation has proven to be efficient, and is recommended for most cases.Grid Setup for Multiple Reference Frames:If the boundary between two zones that are in differentreference frames is conformal, you can simply create the grid as usual, with all cell zones contained in the same grid file. A different cell zone should exist for each portion of the domain that is modeled in a different reference frame. Use an interior zone for the boundary between reference frames.If the boundary between two zones that are in different reference frames is nonconformal, follow the non-conformal grid setup procedure described in Section 6.4.3: Using a Non-Conformal Grid in FLUENT.The Mixing Plane Model:If the flow at this boundary is not uniform, the MRF model may not provide a physically meaningful solution. In the mixing plane approach, each fluid zone is treated as a steady-state problem. Flow-field data from adjacent zones are passed as boundary conditions that are spatially averaged or \mixed" at the mixing plane interface.limitions:The mixing plane model requires the use of the absolute velocity formulation; you cannot use the relative velocity formulation with the mixing plane model.The LES turbulence model cannot be used with the mixing plane model.The models for species transport and combustion cannot be used with the mixing plane model. The general multiphase models (VOF, mixture, and Eulerian) cannot be used with the mixing plane model.The discrete phase model cannot be used with the mixing plane model for coupled flows. Non-coupled computations can bedone, but you should note that the particles leave the domain of the mixing plane.FLUENT mxing-plane算法混合面算法的基本步骤如下:(1)进行转子区域与定子区域的流场计算。

双螺旋输送机提高物料填充率的方法

双螺旋输送机提高物料填充率的方法

双螺旋输送机提高物料填充率的方法英文回答:Methods to Improve Material Filling Rate in Screw Conveyors.Screw conveyors are versatile machines used in various industries to transport bulk materials. However, maximizing the material filling rate is crucial to optimize their performance and efficiency. Here are several proven methods to enhance the filling rate:1. Optimize Screw Design:Increase Flight Diameter: A larger flight diameter increases the volume capacity, allowing for more material to be accommodated per revolution.Reduce Flight Pitch: A shorter flight pitch reduces the spacing between flights, creating a more continuousconveying surface and minimizing material gaps.Use Progressive Flight Geometry: Progressively wider or deeper flights towards the discharge end create a gradual acceleration, improving material flow and filling rate.2. Modify Trough Geometry:Widen Trough Width: A wider trough provides more space for the material to expand during conveyance, reducing compaction and increasing filling.Increase Trough Depth: A deeper trough allows for a higher volume of material to be accommodated, especially in applications with large particle sizes.Use Tapered Troughs: Tapered troughs gradually widen towards the discharge end, facilitating material flow and preventing material accumulation.3. Control Screw Speed:Optimize Screw RPM: Determine theоптимальная частота вращения screw that balances material flow and filling. Too high speeds can cause material degradation, while too low speeds reduce throughput.Use Variable Speed Drives: Variable speed drives allow for precise control of screw rotation, enabling adjustments to match varying material characteristics and process conditions.4. Optimize Material Characteristics:Reduce Material Compressibility: Materials with high compressibility tend to compact during conveyance, reducing filling rate. Consider using anti-caking agents or pre-conditioning materials before transport.Control Material Moisture Content: Excessive moisture can increase material cohesiveness and reduce flowability, impacting filling. Maintain optimal moisture levels forefficient conveying.Use Conditioners: Material conditioners or vibrators can break up lumps and improve material flow, enhancing filling rate.5. Minimize Friction and Accumulation:Use Wear-Resistant Materials: Low-friction materials for flights and troughs reduce resistance and promote material flow.Apply Anti-Friction Coatings: Special coatings can be applied to reduce friction between material and screw surfaces, improving filling.Eliminate Dead Zones: Design troughs and screws to minimize areas where material can accumulate, creating blockages and reducing filling.6. Incorporate Additional Features:Use Intermediate Discharge Points: Adding discharge points along the screw conveyor allows for material removal at various stages, reducing backpressure and enhancing filling.Install Transition Hoppers: Hoppers placed between conveying sections can buffer material flow, reducing pressure surges and improving filling.Consider the Screw Orientation: Horizontal screw conveyors have a lower tendency for material bridging than inclined or vertical conveyors.中文回答:提高双螺旋输送机物料填充率的方法。

氢气管道流速限制英语

氢气管道流速限制英语

氢气管道流速限制英语英文回答:Hydrogen Pipeline Flow Rate Limitations.Hydrogen, a promising clean energy carrier, is gaining considerable attention for its potential to decarbonize various sectors, including transportation, power generation, and industrial processes. As a result, there is a growing need for hydrogen pipeline infrastructure to transport hydrogen safely and efficiently. However, the flow rate of hydrogen in pipelines is subject to several limitationsthat need to be carefully considered during pipeline design and operation.Thermodynamic Limitations:1. Compressibility: Hydrogen has a low molecular weight and a high specific volume compared to other commonpipeline gases, such as natural gas. This means thathydrogen requires a larger pipe diameter or higher compression to achieve the same mass flow rate.2. Joule-Thomson Effect: When hydrogen expands througha valve or orifice, it experiences a temperature drop due to the Joule-Thomson effect. This temperature drop can lead to condensation or even liquefaction of hydrogen, particularly at high pressures.Mechanical Limitations:1. Material Compatibility: Hydrogen can embrittle certain materials, especially at high pressures and temperatures. Therefore, pipeline materials must be carefully selected to ensure compatibility with hydrogen service.2. Weld Integrity: Welding is a critical aspect of pipeline construction. Hydrogen can diffuse into weld zones and cause hydrogen-induced cracking, which can compromise the integrity of the weld.3. Leak Detection: Hydrogen is a small molecule thatcan easily leak through microscopic defects in the pipeline. Leak detection systems must be sensitive enough to detect even small hydrogen leaks.Operational Limitations:1. Pressure Drop: Hydrogen has a low viscosity and a high flow velocity compared to other gases. As a result,the pressure drop along the pipeline can be significant, especially over long distances.2. Compression Requirements: To overcome the pressure drop, hydrogen pipelines often require compression stations along the route. The compression process can add to the operating costs of the pipeline.3. Safety Considerations: Hydrogen is a flammable gas, and leaks can pose a safety hazard. Pipelines must be designed and operated with appropriate safety measures in place, including leak detection systems, pressure relief valves, and emergency shutdown systems.Mitigating Flow Rate Limitations:To mitigate the flow rate limitations associated with hydrogen pipelines, several strategies can be employed:1. Pipe Sizing and Optimization: Using larger pipe diameters or optimizing pipeline routing to reduce pressure drop.2. Cooling Systems: Implementing cooling systems to prevent condensation and liquefaction of hydrogen during expansion.3. Materials Selection: Choosing materials that are resistant to hydrogen embrittlement and have high weld integrity.4. Leak Detection and Monitoring: Employing sensitive leak detection systems and regularly monitoring thepipeline for leaks.5. Compression Optimization: Optimizing the spacing and capacity of compression stations to minimize pressure drop while considering energy efficiency.Conclusion:The flow rate of hydrogen in pipelines is subject to several limitations due to thermodynamic, mechanical, and operational factors. Understanding these limitations is crucial for the design, construction, and operation of safe and efficient hydrogen pipeline infrastructure. By implementing appropriate mitigation strategies, it is possible to overcome these limitations and enable the transportation of hydrogen on a large scale.中文回答:氢气管道流速限制。

华氏温度60度的水流速率1个美国加厘杯每分钟的高流量阀门参数说明说明书

华氏温度60度的水流速率1个美国加厘杯每分钟的高流量阀门参数说明说明书

CALL TO ORDER: U.S. Phone 219 879-8000 • U.K. Phone (+44) (0)1494-461707 • Australia Phone (+61) (0) 2 4272 2055467Terminology•Pressu re Drop – The difference in upstream and downstream pressures of the fluid flowing through the valve.•Critical Flow – The flow has reached the point of being choked. At the choked condition the flow rate has hit a maximum limit and does not increase with further increase in pressure drop across the valve. •C v or Valve Flow Coefficient - The number of U. S. gallons per minute of water at 60°F that will pass through the valve with a pressure drop of 1 psi. For example, a Hi-Flow™ valve with a maximum C v of 10.75 has an effective port area in the full open position such that it passes 10.75 GPM of water with a pressure drop of 1 psi.•Full Port – The port diameter of the valve is the same diameter as the piping connections.•Rangeability – The ratio of maximum controllable flow to minimum controllable flow of a valve. For example, a valve with a 50 to 1rangeability and a total flow capacity of 100 GPM at full open controls flow accurately to as low as 2 GPM.•Valve Flow Characteristic – The relationship between the stem travel or rotation of a valve, expressed in percent travel, and the fluid flow through the valve, expressed in percent of full flow.Control Valve SizingThe C v method is an accepted way to size control valves. Basic equations are provided as a guide to use in sizing a control valve, and the results of the equations will only be as accurate as the information provided of the flowing conditions. The equations are broken down into the type of media - liquid, gas or steam, and whether or not the flow is critical. The critical flow equations are to be used for vapor flow when the pressure drop across the valve is greater than half of the upstream pressure. As a general guide to avoid cavitation do not size a valve for liquid service where the pressure drop is greater than 50% of the upstream pressure.Sub-Critical Flow Critical Flow NomenclatureC v = Valve flow coefficientg = Specific gravity of liquid at flowing conditions G = Specific gravity of gas at flowing conditions P 1= Upstream pressure, psia P 2= Downstream pressure, psia ΔP = Actual pressure drop (P 1-P 2), psi q = Liquid volumetric flow rate, U.S. GPM Q = Gas volumetric flow rate, SCFH W= Steam weight (mass) flow rate, LB/HR T = Flowing Temperature, °R (460 + °F)Once the required C v is determined, selection of the proper size control valve can be obtained by comparing the required C v to the C v values for the valve. As a general rule the maximum capacity of a control valve should be 15 to 50% above the maximum process flow, and the minimum required C v must be within the available rangeability of the valve for proper control. If only the maximum process flow rate was used to calculate C v , then the percent travel of the valve should be checked and should fall in the range of 65 to 80% of total travel.Valves(Liquid C v = q g ΔP 1/2)(Gas C v =Q9631/2)G x T ΔP (P 1+ P 2)Steam C v =W2.1 [ΔP (P 1+ P 2)]1/2Gas or steam where ΔP >P 12C v =Q (G x T)750 x P 11/2C v =W 1.65 x P 1。

加速器中高质量束流的产生与控制

加速器中高质量束流的产生与控制

加速器中高质量束流的产生与控制加速器是用于将带电粒子加速到高能状态的设备。

在实验设备中,高能束流是非常关键的,因为它们提供了研究当今物理学的许多基础问题所需的高质量粒子束。

然而,要实现高质量束流仍然是一个重要的挑战。

本文将探讨在加速器中产生和控制高质量束流的方法和技术。

一、束流的定义束流指的是一堆粒子(电子、质子、重离子等等)以特定的速度和方向进行聚集所形成的流。

在加速器物理中,束流往往是由加速器中的电子鼓动所产生的。

束流的特性与产生它们的加速器、发射源和聚焦元件有关。

二、束流中质量的重要性高质量束流对于大多数实验室来说都是非常重要的,因为它们可以提供几个方面的优势,如:更高的粒子聚焦度、更好的粒子束跟踪能力、更小的束流周围环境扰动、更高的研究信噪比等等。

因此,高质量束流的生产和控制一直是加速器物理中的核心问题之一。

三、产生高质量束流的技术和方法实现高质量束流的两个基本步骤是产生和聚焦。

对于加速器,产生高质量束流往往是通过以下手段来实现的。

1.电子枪电子枪是利用金属极板上的光电效应来产生极低能量的电子。

这些电子可以在一定程度上被加速,并进一步聚焦到束流中。

电子枪的另一项优点是它们可以精确控制束流的时间结构,使这些束流高重复率的应用也得以实现。

2.离子注入离子源通常使用电离器,或者能够通过激光或加热获得离子的其他方法。

这些离子聚焦到束流中时它们必须与电子枪不同程度的电子束混合,因此同时也控制着初步束流的横向和纵向尺寸。

3.加速器关井加速器关井,也称之为“关井斗”或“束扇”,在加速器系统中的作用是让束流压缩或支持高质量束流的切片。

加速器关井通常是由金属几何设计得到的井形结构,然后通过电压梯度进行加速。

这些关井被定位在加速器的固定位置,以适当实现后续的聚焦和切出。

四、束流聚焦技术束流聚焦技术是实现高质量束流的另一项目标。

在此处,需要特定的元件用于维持束流的横向和纵向度。

两种类型的聚焦器——电子光学和磁学——被广泛地应用于加速器中。

微循环血流的二维运动分析

微循环血流的二维运动分析

微循环血流的二维运动分析
彭明飞;张志广
【期刊名称】《微循环学杂志》
【年(卷),期】2000(010)004
【摘要】@@对微血管中的血流运动的测量,人们已经进行过较长时间的研究,提出了飞点扫描、双窗法、单窗法、激光多普勒测速等测量方法[1]。

属于图像分析类的方法主要有相关法、时空梯度法以及方向滤波法等。

本文所关心的是图像分析方法。

【总页数】3页(P9-11)
【作者】彭明飞;张志广
【作者单位】清华大学电机系生物医学工程研究所,邮政编码北京 100084;清华大学电机系生物医学工程研究所,邮政编码北京 100084
【正文语种】中文
【中图分类】R54
【相关文献】
1.活脑丹对脑梗塞患者血流变性、甲襞微循环及小鼠耳廓微循环的影响 [J], 李兵
2.高血压微循环与体循环动力学临床研究系列(下)——Ⅴ.高血压病血流动力学异常与微循环障碍 [J], 骆秉辁;吴良金;宓国伟
3.应用特效疏通微循环血流提高细胞内ATP含量法专有技术10年回顾r附—坚持指脉微循环血流畅通开放40排健康长寿定有保障 [J], 黄裕贵
4.全国微循环血流变学研讨会暨第五届四川省微循环学术会在蓉举行 [J], 马布仁
5.微循环血流与健康的研究——疏通微循环血流 [J], 黄裕贵(整理);林融(整理);王淑萍(整理)
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微观尺度肺部呼吸机械性实验参数模拟节流阀排水方案研讨

微观尺度肺部呼吸机械性实验参数模拟节流阀排水方案研讨

微观尺度肺部呼吸机械性实验参数模拟节流阀排水方案研讨近年来,肺部机械通气已成为许多重症患者的必需治疗手段之一。

而在肺部机械通气过程中,呼吸机械性实验参数的模拟对患者的呼吸支持起着至关重要的作用。

然而,在机械通气中,痰液是常见的问题,特别是呼吸机导管和呼吸机管道中的痰液会影响机械通气的效果。

因此,设计一种有效的排水方案对于提高呼吸机的运行效率和治疗效果至关重要。

一种常见的排水方案是采用节流阀来排水。

节流阀通过调节痰液的流速和流量来达到排除痰液的目的。

在微观尺度肺部呼吸机械性实验中,采用模拟节流阀排水方案可以更好地模拟患者自然排痰的过程,提高排痰的效果。

为了研究微观尺度肺部呼吸机械性实验参数模拟节流阀排水方案,首先需要了解节流阀的原理。

节流阀的主要作用是通过限制液体流动速度来实现排出液体的功能。

当痰液通过节流阀时,由于阻力的存在,流速会减小,从而达到分离痰液和空气的效果。

因此,设计合适的节流阀参数,如孔径大小、材料性质等,对于排痰的效果至关重要。

其次,需要研究微观尺度下肺部呼吸机械性实验参数的特点。

在微观尺度下,肺部通气的情况与常规机械通气有所不同。

例如,气道的内径较小,空气流动的速度也较低。

因此,在模拟呼吸机械性实验参数时,需要考虑这些特点,选择合适的参数来模拟真实的生理情况。

在进行实验研究时,可以通过建立数学模型来模拟节流阀排水方案的效果。

数学模型可以帮助我们理解节流阀的工作机理,并预测不同参数下的排痰效果。

通过调整模型中的参数,可以优化节流阀的设计,提高排痰的效果。

此外,还可以使用计算机软件对模型进行仿真,进一步验证实验结果的可靠性。

对于微观尺度肺部呼吸机械性实验参数模拟节流阀排水方案的研讨,还可以考虑使用一些先进的技术手段。

例如,微流控技术可以通过微小的通道和微观尺度的流动来模拟肺部的通气情况。

这种技术可以更好地模拟肺部通气的微观特征,从而提高实验的准确性和可靠性。

此外,在模拟节流阀排水方案研究中,对于痰液的性质和特点也需要进行详细的研究。

可控扩散叶型吸力面峰值等熵马赫数位置对叶栅气动性能影响

可控扩散叶型吸力面峰值等熵马赫数位置对叶栅气动性能影响

可控扩散叶型吸力面峰值等熵马赫数位置对叶栅气动性能影响陈晓洁;周正贵;曾凌霄
【期刊名称】《机械制造与自动化》
【年(卷),期】2024(53)2
【摘要】通常亚音压气机叶型表面等熵马赫数分布符合可控扩散规律,并且吸力面峰值马赫数位置靠前叶栅气动性能较好。

采用自动优化方法,设计出给定吸力面峰值等熵马赫数位置可控扩散叶型,分析此位置对叶栅气动性能的影响规律。

研究结果表明:对于可控扩散转子和静子叶型,在设计工况下,当吸力面峰值等熵马赫位置位于0.20倍轴向弦长时,吸力面附面层沿流程快速发展,造成叶栅损失大幅增加;当吸力面峰值等熵马赫数位置为0.10~0.15倍轴向弦长时,设计进气角近似位于叶栅低损失进气角范围中,且低损失范围内损失较低。

【总页数】6页(P106-111)
【作者】陈晓洁;周正贵;曾凌霄
【作者单位】南京航空航天大学能源与动力学院
【正文语种】中文
【中图分类】V231.3
【相关文献】
1.吸力面附面层抽吸对大转角扩压叶栅气动性能影响
2.吸力面抽吸位置影响大转角扩压叶栅气动性能的数值研究
3.来流马赫数对叶栅吸力面可压边界层稳定性影响
研究4.吸力面不同吹风比切向冷气喷射对跨声速涡轮叶栅气动性能的影响5.变冲角下吸力面小翼对压气机叶栅气动性能的影响
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a r X i v :0707.2354v 1 [c o n d -m a t .o t h e r ] 16 J u l 2007Critical velocity for superfluid flow across the BEC-BCS crossoverler,J.K.Chin,C.A.Stan ∗,Y.Liu,W.Setiawan,C.Sanner and W.Ketterle†Department of Physics,MIT-Harvard Center for Ultracold Atoms,and Research Laboratory of Electronics,MIT,Cambridge,MA 02139(Dated:February 1,2008)Critical velocities have been observed in an ultracold superfluid Fermi gas throughout the BEC-BCS crossover.A pronounced peak of the critical velocity at unitarity demonstrates that superflu-idity is most robust for resonant atomic interactions.Critical velocities were determined from the abrupt onset of dissipation when the velocity of a moving one dimensional optical lattice was varied.The dependence of the critical velocity on lattice depth and on the inhomogeneous density profile was studied.PACS numbers:03.75.Kk,03.75.Lm,03.75.SsThe recent realization of the BEC-BCS crossover in ul-tracold atomic gases [1]allows one to study how bosonic superfluidity transforms into fermionic superfluidity.The critical velocity for superfluid flow is determined by the low-lying excitations of the superfluid.For weakly bound fermions,the (Landau)critical velocity is proportional to the binding energy of the pairs,which increases mono-tonically along the crossover into the BEC regime.How-ever,the speed of sound,which sets the critical velocity for phonon excitations,is almost constant in the BCS regime,but then decreases monotonically on the BEC side,since the strongly bound molecules are weakly inter-acting.At the BEC-BCS crossover,one expects a rather narrow transition from a region where excitation of sound limits superfluid flow,to a region where pair breaking dominates.In this transition region,the critical velocity is predicted to reach a maximum [2,3,4].This makes the critical velocity one of the few quantities which show a pronounced peak across the BEC-BCS crossover in con-trast to the chemical potential,the transition tempera-ture [5],the speed of sound [6,7]and the frequencies of shape oscillations [8],which all vary monotonically.In this paper,we report the first study of critical ve-locities across the BEC-BCS crossover,where a Feshbach resonance allows the magnetic tuning of the atomic in-teractions,and find that superfluid flow is most robust near the resonance.Our observation of a pronounced maximum of the critical velocity is in agreement with the predicted crossover between the two different mech-anisms for dissipation.Critical velocities have been determined before in atomic BECs perturbed by a stirring beam [9,10,11]as well as by a 1D moving optical lattice [12].In both cases,the inhomogeneous density of the harmonically trapped sample had to be carefully accounted for in or-der to make quantitative comparisons to theory.Heregroupwe mitigate this problem by probing only the central re-gion of our sample with a tightly focused moving lattice formed from two intersecting laser beams.For decreasing lattice depths,the critical velocity increases and,at very small depths,approaches a value which is in agreement with theoretical predictions.In our experiments,we first create a superfluid of 6Li pairs according to the procedure described in previous work [13].Forced evaporative cooling of an even mix-ture of the two lowest hyperfine states is performed at a magnetic field of 822G,on the BEC side of a broad Feshbach resonance centered at B 0=834G.This results in a nearly pure Bose-Einstein condensate of N ≈5×105pairs in a cross optical dipole trap with harmonic trap-ping frequencies νx,y,z =(65,45,50)Hz.The Fermi en-ergy of the system is E F =h ¯ν(6N )1/3=h ×7.6kHz.To form the moving lattice,we focus two phase-locked 1064nm laser beams to intersect at the sample with an angle of ∼90◦(see Figure 1).The resulting 1D lattice has a spatial period of λL =0.75µm.A frequency difference between the two beams of ∆νcauses the lattice to move with velocity v L =λL ∆ν.The beams have e −2waists of 20µm and 60µm respectively,and address a relatively homogeneous region at the center of the cloud which has Thomas-Fermi radii R x,y,z =(63,91,82)µm.The mini-mum density at the position of the e −2waist is 42%of the central density.The lattice which necessarily varies in depth across the sample,is characterized by its peak depth V 0specified in units of E F or the recoil energy E r =h 2/(8mλ2L )=h ×7.3kHz,where m is the molecular mass.The lattice depth is calibrated using Kapitza-Dirac scattering.Due to the inhomogeneity of the lattice,the uncertainty is 40%.The lattice depths explored in this work are suffi-ciently small such that motion induced in the laboratory frame is negligible,in contrast to [14].The lattice moving at a constant velocity is adiabat-ically ramped up and held for a time t up to 2s,after which the lattice is ramped down and all confinement is switched off.As in previous work [13],a fast magnetic field ramp is used to reduce strong interactions in order2Lattice Velocityv (mm/s)C o n d e n s a t e N u m b e r N c`×105´FIG.1:Onset of dissipation for superfluid fermions in a mov-ing optical lattice.(inset)Schematic of the experiment in which two intersecting laser beams produced a moving optical lattice at the center of an optically trapped cloud (trapping beams not shown).Number of fermion pairs which remained in the condensate N c after being subjected to a V 0=0.2E F deep optical lattice for 500ms,moving with velocity v L ,at a magnetic field of 822G (1/k F a =0.15))An abrupt onset of dissipation occurred above a critical velocity v c ,which we identify from a fit to Equation 1.to probe the center-of-mass momentum distribution of the pairs.Subsequently,absorption imaging is done on the atomic resonance line at 730G.A bimodal fit re-veals the number of pairs remaining in the condensate N c ,providing a measure of the heating incurred during application of the moving lattice.Figure1illustrates the characteristic dependence of dissipation on the velocity of the moving lattice.At low velocities,the sample is unaffected.Above some critical velocity v c ,dissipation sets in abruptly.We determine v c from a fit of N c to the intersection of two lines with slopes 0and α:N cond (v )=N cond (0)×[1−max (0,α×(v −vc ))](1)The critical velocity which we obtain from this proce-dure is consistent for a large range of hold times,varying by less than 15%when the hold time t is changed by a factor of 20.We explore the BEC-BCS crossover by adi-abatically ramping the magnetic field to different values after evaporation and repeating the measurement as be-fore.The crossover is parameterized by the interaction parameter 1/k F a ,where k F is the Fermi wavevector and a is the B-field dependent s-wave scattering length [15].Again,we observe a threshold for dissipation.Figure 2shows the measured critical velocity through-out the BEC-BCS crossover.The maximum near reso-nance is consistent with the picture of a crossover be-tween two different types of excitation,as discussed in65 4-0.50.00.51.01.5890 870 850 830 810 790 770 750Interaction Parameter 1/k F aMagnetic Field (Gauss)C r i t i c a l V e l o c i t yv c(m m /s )FIG.2:Critical velocities throughout the BEC-BCS crossover.A pronounced maximum was found at resonance.Data is shown for a V 0=0.2E F deep lattice,held for t=500ms.The solid line is a guide to the eye.the introduction,and confirms that superfluidity is most robust on resonance.To illuminate the role of the inhomogeneous density distribution,we performed experiments in which the en-tire sample was perturbed by a uniform ttice beams with 80µm waists probed a more tightly confined sample of 2×105pairs,with spatial extent R T F ≃37µm.The onset of dissipation seen in Figure 3is still striking,but now loss is observed at much lower lattice velocities,in spite of a larger Fermi energy E F =h ×12.4kHz.More-over,the onset of dissipation is slightly more gradual.When the magnetic field was varied across the Feshbach resonance,we again found a maximum of the critical ve-locity near resonance.The lowering of the critical veloc-ity due to the inhomogeneous density profile is expected,since at lower density,both the speed of sound and (on the BCS side)the pairing energy decrease.Although the critical velocity should approach zero in the low density wings of the cloud,we still observe a sudden onset of dissipation at a finite velocity,similar to studies in Ref.[9,10,11],where a laser beam pierced through the whole condensate,but in contrast to studies reported in [12].In the limit of vanishing perturbation,the critical ve-locity should be given by the Landau criterion.In Fig-ure 4we address the effects of a finite lattice potential in the original lattice configuration,as depicted in Figure 1.The critical velocity is shown to be a decreasing func-tion of V 0,saturating in the limit of low lattice depth (V 0≤0.03E F ).This behavior is consistent with nu-merical simulation [4,16].Measurements at the small-est lattice depths had large uncertainties,as the hold time required to observe a heating effect of the lattice3212.01.51.00.50.0Lattice Velocityv (mm/s)C o n d e n s a t e N u m b e r N c`×105´vFIG.3:Effects of density inhomogeneity on the critical veloc-ity.A configuration in which the lattice beams (80µm)were larger than the trapped sample (37µm)results in loss in the condensate number N c at significantly lower velocity.Data is shown for a V 0=0.15E F deep optical lattice held for 200ms at a magnetic field of 822G.approached the natural lifetime of our sample.For this reason we studied the field dependence (Figure 2)at an intermediate lattice depth,where v c was more well de-fined.For comparison with theory we reference the localFermi velocity at the trap center v F =v ′F (1+β)−1/4=39mm/s,where v ′F= 3=0.37v F ,loc .(2)The critical velocity for pair breaking isv pair = (4300200100A t o m N u m b e r (×105)Hold Time (ms)FIG.5:Number of pairs which remained in the condensate N c (filled circles)and thermal component N th (open circles)after being held in a V 0=0.35E F deep optical lattice moving with velocity v L =6mm/s for a variable hold time.The ther-mal component shows a linear increase (dashed line),whereas N cond showed an accelerated loss,and is fit to a quadratic function (solid line).tion mechanism.Unpaired atoms in clouds with popula-tion imbalance may not play this role because of phase separation effects [22].Another possible dissipation mechanism in a lattice is the creation of two excitations through a dynamical or modulational instability.Such an instability [23]occurs already for weakly interacting particles moving through a lattice with momentum q ,when they collide and scat-ter into states with momenta q ±δq ,analogous to opti-cal parametric generation [24].This process is energet-ically possible only above 0.5q B ,where q B =h/2λL is the Bragg momentum which defines the edge of the Bril-louin zone.This corresponds to a velocity v =11mm/s for fermion pairs (and twice this value for single atoms).Since the highest critical velocities we observe are slightly below this threshold,and strongly decrease already for relatively small V 0,it is very unlikely,that dynamical instabilities play a role in our experiments.Moreover,such instabilities should be strongly modified by Pauli blocking.For our ratio of local Fermi momentum to the Bragg momentum of 0.9,the first band is nearly full in the center of the cloud.For Bose-Einstein conden-sates,it has been recently predicted [25]and experimen-tally shown [14]that strong interactions can lower the threshold for the dynamical instability,close to the Mott-insulator transition.The range of 1-D lattice depths ex-plored here (V 0≤2E r )is far from the 1D Mott-insulator regime.We have observed the loss of coherence whichtypically accompanies the superfluid to Mott insulation transition to occur only beyond V 0≃25E r .In conclusion,we have used a novel optical lattice ge-ometry to determine critical velocities in the BEC-BCS crossover without the complications of strong density inhomogeneity.This configuration could be applied to studies in atomic Bose gases which so far have been lim-ited by the inhomogeneous density [9,10,11,12].In addition,it would be interesting to study dynamical in-stabilities for fermions and the role of Pauli blocking.The authors would like to thank Aviv Keshet for exper-imental assistance.This research has been supported by the NSF and the Office of Naval Research.[1]S.Giorgini,L.P.Pitaevskii,and S.Stringari,preprintcondmat/0706.3360.[2]R.Sensarma,M.Randeria,and T.-L.Ho,Phys.Rev.Lett.96,090403(2006).[3]bescot,M.Y.Kagan,and S.Stringari,Phys.Rev.A 74,042717(2006).[4]A.Spuntarelli,P.Pieri,and G.C.Strinati,pre-print/condmat/0705.2658.[5]C.A.R.S´a de Melo,M.Randeria,and J.R.Engelbrecht,Phys.Rev.Lett.71,3202(1993).[6]R.Haussmann,W.Rantner,S.Cerrito,and W.Zwerger,Phys.Rev.A 75,023610(2007).[7]J.Joseph et al.,Phys.Rev.Lett.98,170401(2007).[8]A.Altmeyer et al.,Phys.Rev.Lett.98,040401(2007)98,040401(2007).[9]C.Raman et al.,Phys.Rev.Lett.83,2502(1999).[10]R.Onofrio et al.,Phys.Rev.Lett.85,2228(2000).[11]C.Raman et al.,J.Low Temp.Phys.122,99(2001).[12]L.De Sarlo et al.,Phys.Rev.A 72,013603(2005).[13]J.Chin et al.,Nature 443,961(2006).[14]J.Mun et al.,preprint condmat/0706.3946.[15]M.Bartenstein et al.,Phys.Rev.Lett.94,103201(2005).[16]S.Ianeselli,C.Menotti,and A.Smerzi,J.Phys.B 39,S135(2006).[17]J.Carlson,S.-Y.Chang,V.R.Pandharipande,and K.E.Schmidt,Phys.Rev.Lett.91,050401(2003).[18]G.E.Astrakharchik,J.Boronat,J.Casulleras,and S.Giorgini,Phys.Rev.Lett.93,200404(2004).[19]J.Carlson and S.Reddy,Phys.Rev.Lett.95,060401(2005).[20]S.Tsuchiya and A.Griffin,Phys.Rev.A 70,023611(2004).[21]S.Konabe and T.Nikuni,J.Phys.B 39,S101(2005).[22]Y.Shin et al.,Phys.Rev.Lett.97,030401(2006).[23]B.Wu and Q.Niu,Phys.Rev.A 64,061603(2001).[24]G.K.Campbell et al.,Phys.Rev.Lett.96,020406(2006).[25]E.Altman et al.,Phys.Rev.Lett.95,020402(2005).。

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