8-Creating a Thermal simulation
Modelsim的下载及安装
You compile your design units into the library( compatible across all supported platforms)
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Modelsim 6.5基本仿真流程
4.右击“我的电脑”,“属性”/“高级”/“环境变量”,新 建系统变量LM_LICENSE_FILE,变量值赋LICENSE.dat 所在路径(…\win32\LICENSE.dat)确定,重启计算机
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Modelsim 6.5基本仿真流程
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Modelsim 6.5基本仿真流程
1. Creating the Working Library
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Modelsim 6.5基本仿真流程
3. Create the working library. File/ New /Library
Work中自动创建了一个_info
的文件。表明此目录为
Modelsim的工作库,不 能改动。
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Modelsim 6.5基本仿真流程
4. Then
2.选择SE6.5版本,进入注册页面
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Modelsim的下载及安装
3.注册后进入ftp,选择倒数第二个exe文件,下载源文件, 倒数第一个安装说明文件,也可以下载
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Modelsim的下载及安装
3.安装后,到网上下载modelsim6.5的破解软件 modelsim6.5_keygen。运行里面的mentorkg.exe文件 ,产生license.txt ,后缀名txt改为dat,复制到安装目录 的win32下
ROHM BD9G500EFJ-LA DC DC 转换器解决方案用户指南说明书
User’s GuideROHM Solution SimulatorDC/DC Converter BD9G500EFJ-LA Thermal SimulationThis document contains electrical simulations of the DC/DC converter BD9G500EFJ-LA and introduces and describes the use of a simulation environment that allows simultaneous thermal simulation of devices including Schottky Barrier Diodes (SBD: RB088BM100TL). By changing the parameters of the components, it is possible to simulate a wide range of conditions.1 Simulation circuitFigure 1. Simulation circuit (BD9G500EFJ-LA)In Figure 1, the area within the green line shows the thermal simulation circuit and the rest of the figure shows the electrical simulation circuit.This circuit is an application circuit based on a 1-channel buck DC/DC converter with a current output of up to 5 A using the BD9G500EFJ-LA.The thermal simulation circuit feeds the device losses and SBD losses calculated in the electrical simulation into the thermal simulation model, and calculates the IC and SBD temperatures.2 Simulation methodSimulation settings such as simulation time and convergence options can be set from “Simulation Settings” shown in Figure 2, and the initial simulation settings are shown in Table 1.If you are having problems with the convergence of the simulation, you can change the advanced options to fix the problem. The simulation temperature and various parameters of the electrical circuit are defined in “Manual Options”.Figure 2. Simulation Settings and executionTable 1. Initial values for Simulation SettingsParametersInitial valuesRemarksSimulation Type Time-Domain Do not change the simulation type End time7 msecs Advanced Options More SpeedManual Options .PARAM …See Table 2 for details3 Simulation conditions3.1 Definition of parametersThe parameters for the components shown in blue in Figure 3 are defined in the manual options as they need to be set in the simulation conditions. Table 2 shows the initial values for each parameter. These values are written in a text box in the “Manual Options” section of the simulation settings, as shown in Figure 4.Figure 3. Definition of component parametersSimulation SettingsSimulateTable 2. Simulation conditionsParameters VariablenamesInitial values Unit DescriptionTemperature Ta25°C Ambient temperatureVoltage V_VIN48V Input voltage Set in the range of 7 to 76 VVoltage V_VOUT5V Output voltage Set in the range of 1 V to (0.97 × V_VIN)Current I_IOUT1A Output current 5 A (MAX)Inductance L_PRM33µH Smoothing inductorFigure 4. Definition of parameters3.2 Setting of component constantsFor the method of setting switching frequency, output LC filter constant, output voltage, etc., refer to “Selection of Components Externally” in the data sheet or the calculation sheet.BD9G500EFJ-LA Data sheetCalculation-Sheet For The Circuit Theoretical Formula – BD9G500EFJ-LAWrite parameters3.3 Thermal circuitThe “BD9G500EFJ_LA” symbol in Figure 5 is the thermal simulation model of the BD9G500EFJ-LA. The nodes shown inred in Figure 5 can be used to check the temperature of the junction, the mold surface and the FIN surface. Detailedinformation for each node is shown in Table 3.You can check the temperature bytouching the red node with a probeFigure 5. BD9G500EFJ-LA thermal simulation modelTable 3. Description of the nodes in Figure 5Node name DescriptionBD9G500EFJ_Tj Monitors the junction temperature of BD9G500EFJ-LASBD_Tj Monitors the junction temperature of RB088BM100BD9G500EFJ_Tt Monitors the top center temperature of BD9G500EFJ-LASBD_Tt Monitors the top center temperature of RB088BM100SBD_Tfin Monitors the FIN center temperature of RB088BM1003.4 Selecting a thermal simulation modelThere are a number of thermal simulation models to choose from and their components are shown in Table 4. Figure 6 shows how to select one. First, right-click on the BD9G500EFJ-LA component and select “Properties”. In the “Property Editor”, set the value of the “SpiceLib Part” to the value you selected from Table 4 to change the thermal simulation model.Figure 6. How to select a thermal simulation modelTable 4. List of available componentsComponent name SpiceLib Part valueDescriptionBD9G500EFJ-LA2s Thermal simulation model for a two-layer board 2s2pThermal simulation model for a four-layer boardFor more information on the board, see “Reference: About the BD9G500EFJ-LA thermal simulation model” on page 7.Changing the value of the SpiceLib Part allows you to select a different thermal model4 Links to related documents4.1 ProductsBD9G500EFJ-LARB088BM1004.2 User’s GuideSingle Buck Switching Regulator BD9G500EFJ-LA EVK User’s GuideReference: About the BD9G500EFJ-LA thermal simulation modelAn image of the 3D model used to create the thermal simulation model is shown in Figure A. Structural information is also shown in Table A.Figure A. BD9G500EFJ-LA 3D imageTable A. Structural informationStructural parts DescriptionBoard outline dimensions114.3mm × 76.2mm, t=1.6mmBoard material FR-4Layout pattern Refer to “Single Buck Switching Regulator BD9G500EFJ-LA EVK User’s Guide”2-layer board Layer structure Top Layer : 70µm ( 2oz ) Bottom Layer : 70µm ( 2oz )4-layer board Layer structure Top Layer : 70µm ( 2oz )Middle1 & Middle2 Layer : 35µm ( 1oz ) Bottom Layer : 70µm ( 2oz )BD9G500EFJ-LA (HTSOP-J8)RB088BM100 (TO-252)BoardNoticeROHM Customer Support System/contact/Thank you for your accessing to ROHM product informations.More detail product informations and catalogs are available, please contact us.N o t e sThe information contained herein is subject to change without notice.Before you use our Products, please contact our sales representative and verify the latest specifica-tions :Although ROHM is continuously working to improve product reliability and quality, semicon-ductors can break down and malfunction due to various factors.Therefore, in order to prevent personal injury or fire arising from failure, please take safety measures such as complying with the derating characteristics, implementing redundant and fire prevention designs, and utilizing backups and fail-safe procedures. ROHM shall have no responsibility for any damages arising out of the use of our Poducts beyond the rating specified by ROHM.Examples of application circuits, circuit constants and any other information contained herein areprovided only to illustrate the standard usage and operations of the Products. The peripheral conditions must be taken into account when designing circuits for mass production.The technical information specified herein is intended only to show the typical functions of andexamples of application circuits for the Products. ROHM does not grant you, explicitly or implicitly, any license to use or exercise intellectual property or other rights held by ROHM or any other parties. ROHM shall have no responsibility whatsoever for any dispute arising out of the use of such technical information.The Products specified in this document are not designed to be radiation tolerant.For use of our Products in applications requiring a high degree of reliability (as exemplifiedbelow), please contact and consult with a ROHM representative : transportation equipment (i.e. cars, ships, trains), primary communication equipment, traffic lights, fire/crime prevention, safety equipment, medical systems, servers, solar cells, and power transmission systems.Do not use our Products in applications requiring extremely high reliability, such as aerospaceequipment, nuclear power control systems, and submarine repeaters.ROHM shall have no responsibility for any damages or injury arising from non-compliance withthe recommended usage conditions and specifications contained herein.ROHM has used reasonable care to ensur e the accuracy of the information contained in thisdocument. However, ROHM does not warrants that such information is error-free, and ROHM shall have no responsibility for any damages arising from any inaccuracy or misprint of such information.Please use the Products in accordance with any applicable environmental laws and regulations,such as the RoHS Directive. For more details, including RoHS compatibility, please contact a ROHM sales office. ROHM shall have no responsibility for any damages or losses resulting non-compliance with any applicable laws or regulations.W hen providing our Products and technologies contained in this document to other countries,you must abide by the procedures and provisions stipulated in all applicable export laws and regulations, including without limitation the US Export Administration Regulations and the Foreign Exchange and Foreign Trade Act.This document, in part or in whole, may not be reprinted or reproduced without prior consent ofROHM.1) 2)3)4)5)6)7)8)9)10)11)12)13)。
大功率低压逆变器功率部分热仿真分析
ELECTRIC DRIVE2024Vol.54No.3电气传动2024年第54卷第3期大功率低压逆变器功率部分热仿真分析王玉博1,2,安洋1,2,邱书明1,2,高卓轩1,2,孙福润1(1.天津电气科学研究院有限公司,天津300180;2.天津天传电气传动有限公司,天津300301)摘要:逆变器产品一直向更高功率密度、结构更紧凑的方向发展。
为提升有限结构空间内逆变器系统的功率密度,在研发过程中需要经常制作若干样机并开展大量实验。
为缩短开发周期,降低样机制作数量和实验次数,提出一种针对逆变器功率部分的热仿真方法。
通过该方法,可在研发设计阶段将各个方案的系统稳态温升情况以及核心器件的温升情况通过仿真呈现出来,无需制作样机和开展实验也能对比出各个方案的优劣。
最后,实验结果证实热仿真分析方法对热系统散热能力的预估相对准确。
通过该方法,可以有效提高工程师在功率单元设计阶段对系统热特性的把控能力,快速对比不同系统散热方案的优劣,减少样机数量和实验次数,提高一次设计合格率,降低研发成本。
关键词:大功率;功率部分;热仿真中图分类号:TM921文献标识码:A DOI:10.19457/j.1001-2095.dqcd25374Thermal Simulation Analysis of Power Unit of High Power InverterWANG Yubo1,2,AN Yang1,2,QIU Shuming1,2,GAO Zhuoxuan1,2,SUN Furun1(1.Tianjin Research Institute of Electric Science Co.,Ltd.,Tianjin300180,China;2.Tianjin Tianchuan Electric Drive Co.,Ltd.,Tianjin300301,China)Abstract:Inverter products have been developing towards higher power density and more compact structure.To enhance the power density of inverter systems within a limited structural space,several prototypes need to be made and a large number of experiments conducted during the research and development process.To shorten the development cycle and reduce the number of prototypes and experiments,a thermal simulation method was proposed for the power unit of the inverter.Through this method,the system steady-state temperature rise of each scheme and the temperature rise of core components can be simulated during the research and development stage.It is possible to compare the advantages and disadvantages of different schemes without making prototypes or conducting experiments.Experimental results verify that the thermal simulation method has relatively accurate prediction of the cooling capacity of the thermal system.This method can effectively improve engineers'ability to control system thermal characteristics during the power unit design stage,quickly compare the advantages and disadvantages of different cooling solutions.It can also reduce the number of prototypes and experimental times,increase the first-time design yield,and reduce research and development costs.Key words:high power;power unit;thermal simulation交流电机和交流传动系统以其能耗较低、效率高、维护成本低等特点,近年来逐步在冶金领域,尤其是普碳钢、不锈钢以及有色金属领域广泛应用。
基于等效电路模型锂硫电池模组热仿真
&版基于等效电路模型锂硫电池模组热仿真#彬刘宇强(上汽大众汽车有限公司,上海201805)【摘要】随着比能量要求的提升,锂硫电池作为下一代高比能量电池,受到越来越多的关注,锂硫电池以及模组的究受到更多青睐。
但由于锂硫电池界面的内阻大、工作温升高、一题也成为其应用的重因。
为了研究锂硫电池模组的热,文章基统锂离子电池的电路模型,建立了锂硫电池的数学模型,在此基础上应件对锂硫电池模组的热仿真。
热仿真试验测试的对比,可以看到热仿真分析的误差较小,说明该模型的精度较高,可以作为实际热究的参考。
在此基础上优化模组内部传热设计,了较高的温度一,为锂硫电其模组的热性究提供了比较好的基础。
【Abstract1With the improving requirement of high energy density,lithium-sulfui batteries asthe next generation of high energy density bMteoes have attracted more and more attention,and the performance research of lithium-sulfuo cell module is becoming populao. Howeveo,due te the large io-temal resistance coused by the poor interface contact of the lithium-sulfur batee,the operating temperature rises,ite pooe consistency and other issues become important easons for limiting its applico-tion.The equivelent circuit modd of tee traditional lithium-ion batee,eie mathematicol modd of the lithium-suian batere is established,and the theanal perfomianco of the batere moduleis simulated by tee application o f three-dimensional softeare.It con be seen teat the erroa of thermal simulation analysis is smallea,indicoting that the accuraco of ee modd is highea,and it con be usedas a referenco foe actual thermal performanco reseerch.It provides a good foundation foe the subsequent meh on the thermal performanco of lithium-sulfue btteries and their modules.【关键词】锂硫电池等效电路模型热模型doi:10.3969/j.issn.1007-4554.2021.05.010引言着对环境的注,新汽车作为一种绿色环保车型,已经成为绿色出的一个重要交通工具。
自然冷却的热仿真流程
自然冷却的热仿真流程英文回答:Natural Heat Dissipation in Thermal Simulation Workflows.Thermal simulation plays a vital role in designing and optimizing electronic systems by predicting temperature distributions and identifying potential thermal issues. However, in some scenarios, it is desirable to simulate systems that dissipate heat naturally, without forced convection or other active cooling mechanisms. This article focuses on natural heat dissipation in thermal simulation workflows, exploring the key considerations, challenges, and best practices involved.Considerations for Natural Heat Dissipation.Enclosure geometry: The shape, size, and orientation of the system enclosure significantly impact heatdissipation. Enclosures with large surface areas and unobstructed airflow promote natural convection.Material properties: The thermal conductivity,specific heat capacity, and emissivity of the enclosure materials influence the system's ability to dissipate heat. High thermal conductivity materials facilitate heat transfer, while high emissivity promotes radiative cooling.Ambient conditions: The temperature, humidity, and air velocity of the surrounding environment affect heat dissipation. Higher ambient temperatures increase the temperature gradient and enhance convection, while increased air velocity promotes convective heat transfer.Challenges in Simulating Natural Heat Dissipation.Complex heat transfer mechanisms: Natural heat dissipation involves both conduction, convection, and radiation, making it challenging to model accurately.Enclosure variations: The enclosure geometry andmaterial properties can vary widely, requiring flexible simulation tools to accommodate different scenarios.Ambient condition uncertainties: Accurate ambient conditions are crucial, but they can be difficult topredict precisely in real-world applications.Best Practices for Natural Heat Dissipation Simulation.Use appropriate simulation software: Choose software that can handle complex heat transfer mechanisms and enclosure variations.Create detailed enclosure models: Accurately represent the enclosure geometry, materials, and boundary conditions to ensure realistic heat dissipation simulations.Consider ambient condition uncertainties: Use sensitivity analysis or stochastic modeling techniques to account for variations in ambient conditions.Validate simulation results: Compare simulationpredictions with experimental measurements or historical data to verify the accuracy of the model.中文回答:自然冷却热仿真流程。
plant-simulation基础培训教程(中文)
objects and MUs. 可以调整类库结构以适合模型环境. 设置单位默认值Tools > Options. 访问Plant Simulation信息页.
2
Contents
Chapter 10 Chapter 11 Chapter 12 Chapter 13 Chapter 14 Chapter 15 Chapter 16 Chapter 17
类, 实和继承 数据类型, 自定义属性和表格 容量为一个及多个的物流对象 设备故障率 调试运行 时间设置 TimeSequence 模型添加 CAD 背景
帮助(F1)
打开时间控制器
ቤተ መጻሕፍቲ ባይዱ
显示打印窗口
关闭所有窗口
运行状态开关 MU 动画开关
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Material Flow Objects and Moving Objects (MUs)
- Material Flow - 对象类型从单一时间控 制到符合装配机器. - 三种类型的移动对象: passive(Entity), passive carrier(Container), active carrier(Transporter)
18
eM-Plant Standard and Professional
Standard
建模范围: - Material flow - Table files, data - Control logic - Evaluation - Charts
Limit of objects at 4000 material flow objects
基于Flotherm二次开发的机电产品热仿真系统
基于Flotherm二次开发的机电产品热仿真系统曹振亚;袁宏杰;程明;李佩昌【摘要】针对机电产品热仿真试验对试验者理论基础和软件操作能力要求较高以及相似操作不能流程化解决的问题,应用C#.NET语言结合.NET Framework技术、Flotherm二次开发接口技术、SQLite数据库技术、XML语言技术和Flotherm二次开发封装与集成技术,开发出机电产品热仿真系统,并应用于军用车载机电产品热仿真试验,使得典型军用车载机电产品热仿真试验自动化、流程化,实现了温度表的自动输出和薄弱点的暴露,大大缩短了仿真试验时间,提高了试验效率。
最后通过XX检测组合装置热分析仿真实例验证了该系统的可行性。
%Since the mechanical and electrical products thermal simulation experiment has high demand on theoretical basis and software operability of the experimenter,and its similar operation can’t be streamlined,a thermal simulation system for the mechanical and electrical products was developed by using C#.NET object⁃oriented language combined with .NET Framework technology,Flotherm redevelopment interfacetechnology,SQLite technology,XML technology,and Flotherm redevelopment packaging and integration technology. It is applied to the thermal simulation experiment of military vehicle⁃mounted mechanicaland electrical products,which can make the thermal simulation experiment for the typical military vehicle⁃mounted mechanical and electrical products automatic and in process,realize the automatic output of the thermometer and exposure of weak points, greatly shorten the simulation experiment time,and improve the test efficiency. The feasibility of this system wasverified by means of thermal analysis simulation example of XX detection combination device.【期刊名称】《现代电子技术》【年(卷),期】2016(039)012【总页数】6页(P159-163,166)【关键词】C#.NET语言;Flotherm二次开发接口;热仿真;XML【作者】曹振亚;袁宏杰;程明;李佩昌【作者单位】北京航空航天大学可靠性与系统工程学院,北京 100191;北京航空航天大学可靠性与系统工程学院,北京 100191;北京航空航天大学可靠性与系统工程学院,北京 100191;北京航空航天大学可靠性与系统工程学院,北京100191【正文语种】中文【中图分类】TN61-34;TP311.1随着集成技术的提高,电子设备功率上升,体积缩小,单位体积发热量增加,发热问题日益突出。
abaqus切削热传导公式
abaqus切削热传导公式English Answer:Heat Transfer in Cutting with Abaqus.Heat transfer plays a crucial role in cutting operations, affecting the temperature distribution, tool wear, and workpiece quality. Abaqus offers comprehensive capabilities for modeling heat transfer in cutting simulations, enabling engineers to accurately predict thermal effects and optimize cutting parameters.Heat Transfer Mechanisms in Cutting.During cutting, heat is generated due to friction between the tool and workpiece, plastic deformation of the material, and chip formation. Heat transfer occurs through various mechanisms, including:Convection: Heat transfer between the tool, workpiece,and surrounding environment.Conduction: Heat transfer within the tool, workpiece, and chips.Radiation: Heat transfer through electromagnetic waves.Heat Transfer Modeling in Abaqus.Abaqus provides several methods for modeling heat transfer in cutting simulations:Element-based Heat Transfer: Heat transfer is solved within each element, considering conduction, convection,and radiation.Surface-based Heat Transfer: Heat transfer is applied as boundary conditions on surfaces, such as contactsurfaces between the tool and workpiece.User Subroutines: Custom heat transfer models can be implemented through user subroutines.Governing Equations.The heat transfer analysis in Abaqus is based on the following governing equations:Conservation of Energy: The rate of heat transfer into a control volume minus the rate of heat transfer out of the control volume equals the rate of change of energy within the control volume.Conduction: Fourier's law describes heat conduction as a function of temperature gradient.Convection: Newton's law of cooling describes heat convection as a function of surface temperature and surrounding environment temperature.Radiation: Stefan-Boltzmann law describes heat radiation as a function of surface temperature and emissivity.Material Properties.Accurate material properties are essential for reliable heat transfer simulations. Abaqus requires the following thermal properties:Thermal Conductivity: The ability of a material to conduct heat.Specific Heat Capacity: The amount of heat required to raise the temperature of a unit mass of material by one degree.Density: The mass per unit volume of a material.Boundary Conditions.Appropriate boundary conditions are necessary to define the temperature or heat flux at the simulation boundaries. Common boundary conditions include:Convection Boundary Conditions: Prescribed heattransfer coefficient and reference temperature.Radiation Boundary Conditions: Prescribed surface emissivity and surrounding environment temperature.Temperature Boundary Conditions: Prescribed temperature values on surfaces.Simulation Workflow.The typical workflow for heat transfer modeling in Abaqus involves:1. Defining the geometry and mesh of the model.2. Assigning material properties.3. Applying boundary conditions.4. Specifying heat transfer settings.5. Running the simulation.6. Post-processing the results to analyze temperature distribution, heat flux, and other thermal effects.Benefits of Heat Transfer Modeling in Cutting.Incorporating heat transfer into cutting simulations provides valuable insights into:Temperature Distribution: Predicting the temperature distribution within the tool, workpiece, and chips.Tool Wear: Assessing the impact of heat on tool wear and life expectancy.Workpiece Quality: Evaluating the effects of heat on workpiece surface finish, distortion, and residual stresses.Cutting Parameters Optimization: Identifying optimal cutting parameters to minimize heat generation and improve productivity.中文回答:Abaqus 中切削热传导公式。
T8钢圆柱体水淬过程温度场模拟【毕业作品】
任务书设计题目:T8钢圆柱体水淬过程温度场模拟1.设计的主要任务及目标建立轴对称有限元模型,模拟计算T8钢热处理加热及水淬过程温度场分布,从而确定加热保温时间;分析热处理前后T8钢组织与力学性能的变化,为优化热处理工艺提高零件质量提供一定的理论依据。
2.设计的基本要求和内容1)设计的基本要求:论文结构完整,层次分明,语言顺畅;避免错别字和错误标点符号;论文格式符合太原工业学院学位论文格式的统一要求。
2)设计内容:模拟T8钢加热过程某些时刻的温度场分布及圆柱体上特殊点的温度随时间的变化关系;模拟T8钢水淬过程某些时刻的温度场分布及圆柱体上特殊点的温度随时间的变化关系;分析T8钢热处理前后组织及力学性能的变化。
3.主要参考文献1)ANSYS有限元分析软件在热分析中的应用[J].冶金能源,2004(05)2)钢件淬火过程温度场的数值模拟[J].热加工工艺技术与材料研究,2008(11)3)ANSYS10.0热分析教程与实例解析4)45钢零件淬火过程温度场分布的数值模拟[J].重庆大学学报,2003(03)4.进度安排T8钢圆柱体水淬过程温度场模拟摘要: T8模具钢属于抗冲击碳素工具钢、冷作模具钢、淬硬型塑料模具用钢,该钢无网状碳化物析出倾向,塑性、韧性优于T10A钢,适用于制作较大截面的模具。
重载模具采用T8模具钢,进行预先调质球化处理,效果较好。
该钢可加工性好,价格低廉,来源容易,但缺点是淬透性低,耐磨性差,淬火变形大。
本文将采用ANSYS有限元分析对T8钢进行热处理过程模拟,热处理过程计算机模拟具有速度快、效率高、结果形象逼真、能综合全面反映热处理过程中各种变化规律的特点。
与试验研究相结合,可以极大地拓展实测数据提供的信息,完成试验研究很难做到甚至不能做到的工作。
国内的许多专家和学者运用MARC、ANSYS等软件对现实中热处理过程进行了模拟,而且取得了一系列令人满意的成果,并将模拟的结果指导于生产实践之中。
热传导仿真案例
热传导仿真案例Simulation is an important technique used in various engineering fields, including the study of heat conduction. 热传导仿真是一种在各种工程领域中使用的重要技术,其中包括热传导的研究。
By simulating the heat transfer process through different materials and structures, engineers can optimize the design of heat exchangers, electronic devices, and other thermal systems. 通过模拟不同材料和结构的热传递过程,工程师可以优化换热器、电子设备和其他热系统的设计。
This helps in improving energy efficiency, reducing costs, and ensuring the safety and reliability of the systems. 这有助于提高能源效率,降低成本,并确保系统的安全性和可靠性。
One of the key aspects of heat conduction simulation is the accurate modeling of the thermal properties of materials. 热传导仿真的关键方面之一是准确建模材料的热性能。
This includes parameters such as thermal conductivity, specific heat, density, and thermal diffusivity. 这包括热导率、比热、密度和热扩散率等参数。
These properties determine how heat is transferred through a material and are essential for predicting temperature distributions and heat fluxes in a system. 这些性质决定了热如何通过材料传递,并对预测系统中的温度分布和热流量至关重要。
基于ANSYS的电路板组件热仿真及试验验证研究
图1 受试样品实物图XS1V18V19V14N1R1V4V2V5V1V8C4C1C2V13V12V77D2N2V9G1C7N3C686-1k1V6V3由于结构比较复杂,为了在保证计算的精度的同时加快计算收敛时间,在热-结构耦合分析中,采用顺序耦合分析采用多个物理分析,一个一个按顺序分析,第一个物理分析的结果作为第二个物理分析的载荷,基本物理载荷作为名义边界条件。
首先采用PLANE55,SOLID87热分析单元进行温度场求解,然后将热单元转换为响应的结构单元,并将求得的节点温度作为体载荷加到模型上再进行结构应力即添加各材料的杨氏模量和热膨胀系数等参数,再将热分析的结果作为热载荷施加在各个节点上,从而求解得到结构耦合分析结果。
有限元仿真分析温度场是各个时刻物体内各点温度分布的总称。
由傅立物体导热热流量与温度变化率有关,所以研究物体导热必然涉及物体的温度分布。
另外,物体的温度分布是坐标和时间的函数。
由于瞬态热分析是指用于计算系统随时(c ) 网格划分模型图4 热仿真模型(b ) 实体模型(线)LINESTYPE NUM(a ) 实体模型TYPE NUMY ZXZXY初始温度场(环境温度场5℃)b ) 60s 后PCB 板温度分布,计算时在主要器件功耗如表1所示,环仿真结果如图7所示,主要器件仿真温度结主要器件有限分析温度计算结果(取均值)N1G1N3D429.422.121.921.732.723.723.122.433.424.023.623.357.7175410.435113.152615.87026.358779.0763211.793914.511417.22897.3812212.143616.906121.668526.4309) 180s 后PCB 板温度分布图5 PCB 板温度分布图14.524919.287324.04979.762435(a ) 热应力分布STEP=1SUB=19TIME=180SEQV (AVG)DMX=.288E-03SMN=.140E-06(b ) 热应变PCB 板仿真状态(外部环境温度50℃)1NODAL SOLUTION STEP=1SUB=19TIME=180EPTOEQV (AVG)DMX=.288E-03SMN=.536E-17SMX=.030327.536E-17.006739.013479.020218.026958.00337.010109.016849.023588.030327(a ) 通电60s(b ) 通电180s(a ) 通电60s(b ) 通电180s(c ) 通电300s 图8 器件红外试验测试结果表3 主要器件试验温度分析结果/sD1N1G1N318.330.121.520.424.531.623.122.726.232.122.722.7对比表2仿真温度和表3试验实测温度结果,发现仿真分析与试验结果误差在±2℃以内,考虑到仪器的测量精度℃,可以认为基于ANASY 软件搭建的ZX 16.991720.874224.756628.639132.521518.932922.815426.697830.580334.4628NODAL SOLUTION TEMP (AVG)32.131.630.3X Z 18.449821.362824.275827.188830.101816.993319.906322.819325.732328.6453NODAL SOLUTION TEMP (AVG)(c ) 通电300s 图7 有限元仿真分析结果18.905122.715426.525730.335934.14621720.810324.620528.430832.2411ZM NXNODAL SOLUTION (下转XZ。
锂离子电池热滥用模型
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AABC-08
The 4th International Symposium on Large Lithium Ion Battery Technology and Application
Thermal Runaway - Background
External Abuse Conditions
External Heating Over-Charging Over-Discharging
May 13-16, 2008
Tampa, Florida
Gi-Heon Kim, Ahmad Pesaran, and Kandler Smith (ahmad_pesaran@)
National Renewable Energy Laboratory
NREL/PR-540-43186
Causing or Energizing Internal Events or Exothermic Reactions
Electrode-Electrolyte Reactions
Leak Smoke
Lithium Plating If Heating rate exceeds Dissipation rate
Background
• Last year, in LLIBTA-3, we introduced our approach for modeling Li-ion thermal abuse1
– Chemical reactions at elevated temperatures
• • • • SEI decomposition Negative-solvent reaction Positive-solvent reaction Electrolyte decomposition
Flotherm_8.2-Tutorial_8
© 2009 Mentor Graphics Corporation Commercial-in-Confidence
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FloTHERM V8.2 Introductory Training Course Tutorial 8 – Using FloTHERM.Pack to Create Thermal Models 向导的第一步会问您设计的名称,命名新的设计为 “pbga1_AAA” (用您的首个字母代替 AAA) ,点击下方的箭头 进入下一步
FloTHERM V8.2 Revision 01
© 2009 Mentor Graphics Corporation Commercial-in-Confidence
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FloTHERM V8.2 Introductory Training Course Tutorial 8 – Using FloTHERM.Pack to Create Thermal Models In 第五步会问您封装中是否有内嵌的散热片( Drop-in Slug),点击 ‘No’,进入下一步
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FloTHERM V8.2 Introductory Training Course Tutorial 8 – Using FloTHERM.Pack to Create Thermal Models 打开了封装概要窗口。点击编辑设计 (Edit Design)栏,进入 设计页。这里有所有的向导里输入的数据,还有 FloTHERM.PACK 基于标准 JEDEC 默认定义的所有参数 下移到 ‘Lid/Thermal Plate/Encapsulant’部分,改变厚度 te 为 3.35mm. [提示:这个部分靠近页面的最底端]
浸没式交换机液冷技术仿真与实验
文章编号:0253-4339(2021)03-0135-10doi:10.3969/j.issn.0253-4339.2021.03.135浸没式交换机液冷技术仿真与实验冯帅1王国岩2何嘉俊1张可牧1安青松1(1天津大学中低温热能高效利用教育部重点实验室天津300350;2歌尔声学潍坊261031)摘要交换机作为通讯传输技术的核心设备,内部芯片产生的热流密度越来越高,提高其散热效率是数据中心稳定运行的前提。
本文对应用于交换机散热的新型浸没式液冷技术进行仿真与实验研究,通过高功率交换机的液冷散热仿真、浸没式液冷的散热效率实验对应用效果进行了分析和评估。
结果表明:基于元件模型散热仿真分析的模型修正方法提高了温度预测的准确性,浸没式液冷条件下交换机的元件温度比相同功率风冷条件下的温度约低20C,浸没式液冷环境下单位体积的交换机极限功率约是风冷条件下极限功率的3.2倍。
关键词浸没式液冷技术;热仿真;交换机;散热效率;极限功率中图分类号:TB61+1;TP391.9文献标识码:AExperiment and Numerical Simulation of Immersion Liquid-cooled Switch Feng Shuai1Wang Guoyan2He Jiajun1Zhang Kemu1An Qingsong1(1.Key Laboratory of Efficient Utilization of Low and Medium Grade Energy,Ministry of Education,Tianjin University,Tianjin,300350,China;2.Goertek,Weifang,261031,China)Abstract As the core equipment of communication and transmission technology,switches develop rapidly,and the heat flux emitted by internal chips increases constantly.Improving heat dissipation efficiency is a prerequisite for the reliable operation of data centers.This study focuses on the simulation and experiments of immersion liquid cooling technology.The effects of this technology were analyzed and evaluated through a liquid cooling simulation of high-power switches and heat dissipation efficiency experiments of immersion liquid cooling. The results show that the model correction method based on the heat dissipation simulation analysis of components improves the accuracy of temperature prediction.The component temperature of the switch in the immersion liquid cooling condition can be reduced by approximately20C compared with the air-cooling environment under the same power.The power limit of the unit volume of the switch under immersion liquid cooling is approximately3.2times of that under air cooling environment.Keywords immersion liquid cooling technology;thermal simulation;switch;heat dissipation efficiency;limit power随着互联网的高速发展,大数据处理需要具有更高稳定性与可靠性的大容量、高性能交换机。
热力耦合仿真英语
热力耦合仿真英语The field of thermal coupling simulation has gained significant attention in recent years, as it plays a crucial role in various industries, from aerospace to electronics. Thermal coupling refers to the exchange of heat between two or more interconnected systems, and its accurate simulation is essential for designing and optimizing complex systems that operate in thermally challenging environments.One of the primary applications of thermal coupling simulation is in the aerospace industry. Modern aircraft and spacecraft are designed with intricate systems that generate significant amounts of heat, which must be effectively managed to ensure the safety and performance of the vehicle. Thermal coupling simulation allows engineers to model the heat transfer between different components, such as the engines, avionics, and structural elements, enabling them to design efficient cooling systems and optimize the overall thermal management of the aircraft or spacecraft.In the electronics industry, thermal coupling simulation is equally important. As electronic devices become more compact andpowerful, the heat generated by their internal components can have a significant impact on their performance and reliability. Thermal coupling simulation allows designers to predict the heat dissipation patterns within electronic devices, ensuring that the components are operating within their safe temperature ranges and that the overall thermal management system is effective.One of the key challenges in thermal coupling simulation is the complexity of the underlying physical processes. Heat transfer can occur through various mechanisms, including conduction, convection, and radiation, and the interactions between these processes can be highly nonlinear and interdependent. Additionally, the presence of multiple materials with different thermal properties, as well as the complex geometries of the systems being simulated, can further complicate the modeling process.To address these challenges, researchers and engineers have developed a range of advanced simulation techniques and tools. One of the most widely used approaches is computational fluid dynamics (CFD), which combines numerical methods for solving the governing equations of fluid flow and heat transfer. CFD-based thermal coupling simulations can provide detailed insights into the temperature distributions, heat fluxes, and fluid flow patterns within a system, enabling designers to optimize the thermal management strategies.Another important aspect of thermal coupling simulation is the integration of multiphysics modeling. Many systems involve the coupling of thermal effects with other physical phenomena, such as structural deformation, electromagnetic fields, or chemical reactions. Multiphysics simulation tools allow engineers to model these complex interactions, providing a more comprehensive understanding of the system's behavior and enabling the development of innovative solutions.In recent years, the advent of high-performance computing (HPC) has also played a significant role in the advancement of thermal coupling simulation. HPC resources, such as powerful processors, large-scale memory, and parallel computing capabilities, have enabled the simulation of increasingly complex and detailed models, allowing for more accurate predictions and faster design iterations.Despite the significant progress made in thermal coupling simulation, there are still many challenges and opportunities for further development. One area of ongoing research is the integration of experimental data and real-world measurements into the simulation models, which can help to improve the accuracy and reliability of the predictions. Additionally, the development of more efficient numerical algorithms and the incorporation of machine learning techniques could lead to significant advancements in the speed andaccuracy of thermal coupling simulations.In conclusion, thermal coupling simulation is a critical tool for engineers and researchers across a wide range of industries. By accurately modeling the complex heat transfer processes and their interactions with other physical phenomena, thermal coupling simulation enables the design and optimization of efficient and reliable systems that can operate in demanding thermal environments. As technology continues to advance, the importance of thermal coupling simulation is expected to grow, driving further innovation and progress in fields that rely on the effective management of heat.。
ANSYS 10.0 Workbench Tutorial - Exercise 6D-6E, Exploring Simulation Part 2
Opening your Exercise6 files
Make sure that the Open: pull-down is set to “Workbench Projects” Browse for and Open Exercise6D.wbdb
© 2006 ANSYS, Inc. All rights reserved.
2. Set the Ambient Temperature of the new Convection to 40 degrees C
© 2006 ANSYS, Inc. All rights reserved.
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ANSYS, Inc. Proprietary
Step 3 – Set Required Results
© 2006 ANSYS, Inc. All rights reserved.
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ANSYS, Inc. Proprietary
Getting Started
Before starting Exercise 6D copy the following file to a local working directory …\ANSYS ED Tutorial\Samples\Exercise6D.wbdb …\ANSYS ED Tutorial\Samples\Exercise6D.agdb …\ANSYS ED Tutorial\Samples\Exercise6D.dsdb …\ANSYS ED Tutorial\Samples\Exercise6D.eddb
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ANSYS, Inc. Proprietary
Examining the Project
3. Open a “New Simulation”
加固笔记本计算机热设计及热仿真分析
第34卷第1期机电产品开发与创新Vol.34,No.1 2021年1月Development&Innovation of M achinery&E lectrical P roducts J-n.,2021文章编号:1002-6673(2021)01-095-04加固笔记本计算机热设计及热仿真分析刘强,张建,袁强(中国兵器装备集团自动化研究所,四川绵阳621000)摘要:热设计是加固笔记本计算机的重要研究方向之一,本文主要介绍了一种基于热管和强迫对流综合散热方式,研制的加固笔记本计算机,利用CFD软件开展热仿真分析,为同类型的加固笔记本的设计提供较好的参考"关键词:加固笔记本计算机$热设计$热管$热仿真中图分类号:TP368.3文献标识码:A doi:10.3969/j.iss/.1002-6673.2021.01.031Thermal Design and Thermal Simulation Analysis of Rugged Laptop ComputerLIU Qiang,ZHANG Jian,YUAN Qiaag(Automation Research Institute Of China South Industries Group Corporation,Mianyang Sichuan621000, China) Abstract:Thermal design is an important research direction for rugged laptop.This article mainly introduces an integrated heat dissipation method which based on heat pipe and forced convection technology,and thermal simulation analysis of this rugged laptop will He executed by used CFD software.The method is expected to provide a reference for the same type of rugged laptop design.Keywords:Rugged laptop computer;Thermal design;Heat pipe;Thermal simulation analysis0引言随着笔记本计算机的岀现,计算机的使用环境由室内扩大到沙漠、高原、海洋、天空,为了应对恶劣的使用环境,加固笔记本计算机应运而生。
Modelsim的下载及安装
编辑课件
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Modelsim 6.5基本仿真流程
编辑课件
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Modelsim 6.5基本仿真流程
DIFFRERENCES: Do not have to create a working library in the
project flow (automatically). Projects are persistent. ( open every time you
Modelsim的下载及安装
1.进入SE的download
编辑课件
2
Modelsim的下载及安装
2.选择SE6.5版本,进入注册页面
编辑课件
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Modelsim的下载及安装
3.注册后进入ftp,选择倒数第二个exe文件,下载源文件, 倒数第一个安装说明文件,也可以下载
编辑课件
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Modelsim的下载及安装
编辑课件
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Modelsim 6.5基本仿真流程
1. 1. Create a new directory and copy the design files for this lesson into it. Counter.v tcounter.v
2. 2. Start modelsim File /Change Directory (to the directory you created)
7. 9. Run the simulation ① View > Wave (or [cmd] View Wave)
② right-click test_counterAdd / To Wave / All items in
region
编辑课件
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仿真技术原理 映射
仿真技术原理映射Simulations are virtual representations of real-world systems or processes. 仿真是对现实世界系统或过程的虚拟表示。
It is a powerful tool used in various fields, such as engineering, healthcare, and entertainment. 它是在工程、医疗保健和娱乐等各个领域中使用的一种强大工具。
The principle of simulation technology lies in mapping the behavior of a system or process onto a mathematical model. 仿真技术的原理在于将系统或过程的行为映射到数学模型上。
By doing so, we can analyze, predict, and optimize the performance of the real-world system or process. 通过这样做,我们可以分析、预测和优化现实世界系统或过程的性能。
One perspective to consider when discussing the principles of simulation technology is the use of models. 当讨论仿真技术原理时,一个需要考虑的角度是模型的使用。
Models are the backbone of simulation technology, as they serve as the mathematical representations of the real-world systems or processes. 模型是仿真技术的支柱,因为它们作为现实世界系统或过程的数学表示。
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Electronics KTN –Knowledge For GrowthCreating a Thermal SimulationChris HillNovember 2008This presentation will describe the steps taken in order to create atypical thermal simulation.The presentation will use the “Flotherm” thermal simulationpackage as an example, although the method described will beequally applicable to any thermal simulation software.Electronics KTN –Knowledge For GrowthFirst stepsMuch of the work involved has little to do withactually using the software!Effort needed (especially at the start) to definethe scope of the simulationthe goals of the simulationinput data to be used in the simulationRather like a “Requirements Specification”for the simulationRemember the maximGARBAGE IN = GARBAGE OUT!Much of the work involved in creating a successful thermalsimulation has little to do with the actual use of the softwareitself. Rather, a degree of effort must be expended (especially atthe start of the project) in defining the scope of the simulation, thegoals of the simulation, and the input data to be used in thesimulation.This is rather like defining a “Requirements Specification” for thesimulation. And remember the venerable computer maxim:garbage in = garbage out!Electronics KTN –Knowledge For GrowthKey definitionsKey definitions of the simulationSpecify before work on creating the simulation itself begins!1.Goal What do we want to achieve?2.Extent What do we want/need to simulate?3.Ambient What ambient conditions are relevant?4.Modelling level What degree of detail do we wish toincorporate in the various parts of the simulation?5.Materials Do we know the thermal properties of thematerials used in the simulations?6.Results What kind of results are we looking for?These definitions are discussed in more detail in the followingslides…The following are key definitions of the simulation which shouldbe specified before work on creating the simulationitself begins:•First, the goal: What do we actually want to achieve?•Second, the extent: What do we want or need to simulate?•Thirdly, the ambient conditions: What ambient conditionsare actually relevant?•Fourth, the modelling level: What degree of detail do wewish to incorporate in the various parts of the simulation?•Fifthly the materials: Do we know the thermal properties ofthe materials used in the simulations?•And finally the results: What kind of results are we lookingfor?These definitions are discussed in more detail in the followingslides…Electronics KTN –Knowledge For Growth1. GoalThermal simulations tend to fall into one of two possiblecategoriesReproduction of real-life scenarios in simulationdone to “calibrate”parts of models, simulation techniques, etc.helps to develop confidence in the simulation methodology“Speculative”simulation of new scenariosdone to assist in product development cyclesto predict operating temperatures of components or systemsin new applications without expense of building prototypesMajority of simulations fall into this “speculative”categoryIn my experience, thermal simulations tend to fall into one of twopossible categories:•The first category is that of reproduction of real-lifescenarios. This is usually done in order to “calibrate” partsof models, simulation techniques, and so on, and helps todevelop a degree of confidence in the simulationmethodology.•Secondly, we have “speculative” simulation of newscenarios. This is done in order to assist in productdevelopment cycles, where we wish to predict the operatingtemperatures of components or systems in new applicationswithout the expense of building real-life prototypes.It is likely that the majority of simulations fall into the second“speculative” category.Electronics KTN –Knowledge For Growth2. Extent= How much of the proposed system to include?For a product consisting of dissipating componentsmounted on a PCB in an enclosure, it will probably benecessary to simulate the components, PCB andenclosure as all are likely to have an effect on thethermal behaviour of the systemIf we do not include all the component parts of thescenario (i.e. we do not extend the simulation farenough) then it is likely that the results produced will beinaccurateWhen considering the “extent” of the simulation we are defininghow much of the proposed system we actually intend to include inthe simulation.For example, for an electronic product consisting of dissipatingcomponents mounted on a PCB in an enclosure, it will probablybe necessary to simulate the components, PCB and enclosure, asall are likely to have an effect on the thermal behaviour of thesystem.If we do not include all the component parts of the scenario (i.e.we do not extend the simulation far enough), then it is likely thatthe results produced will be inaccurate.Electronics KTN –Knowledge For Growth2. ExtentParts of scenario initially assumed to be important maybe found to have little or no influence on the thermalperformance of the system (or the opposite may be true)Thermal questions are often non-intuitiveSimulation may be the only way of providing quick answersShould also consider whether we want to simulate allthree modes of heat transport, or conduction onlyWe may also find that parts of the scenario which we initiallyassumed to be important are found to have little or no influenceon the thermal performance of the system(or indeed the opposite may be true).Thermal questions are often non-intuitive, and simulation may bethe only way of providing quick answers to this question.Also under “extent”, we should consider whether we want tosimulate all three modes of heat transport (i.e. conduction,convection and radiation) or, for special cases, conduction only.Electronics KTN –Knowledge For Growth3. AmbientSystem operating conditions very importantThings to consider includeexpected range of ambient temperaturesexternal airflowsolar radiationaltitudegravityvacuumEnclosure on top of a telegraph pole may be subject toextremes of ambient temperature, plus solar radiationpossibly some forced-air coolingWorst-case combinations would need to be simulatedThe ambient conditions in which the system is intended to operateare very important. Things to consider include:•The expected range of ambient temperatures. What are thehigh and low extremes?•External airflow – will there be any? how much? and can werely on its presence?•Solar radiation – will the system be exposed to sunlight?•Altitude – does the system have to function on a mountaintop? This has implications for convection cooling.•Gravity – a system intended for use in outer space will notbe subject to gravity, and this also has implications forconvection cooling. As indeed does that fact that a systemmay be intended for use in a vacuum and therefore will relyon conduction and radiation cooling only.So, a system which is mounted in an enclosure at the top of atelegraph pole may be subject to extremes of ambienttemperature, plus solar radiation and possibly some forced-aircooling. The worst-case combinations of ambient conditionswould need to be simulated in this case.Electronics KTN –Knowledge For Growth4. Modelling levelIdeally simulate all parts of the system in great detailto produce results with greatest possible accuracyLevel of detail we can incorporate will be limited byavailable computational poweravailability of device detailed modelslimits on simulation run-timesWe will be forced to make decisionswhich parts of the scenario to model in detailwhich parts to simulate using more “approximate”methodsIdeally we would simulate all parts of the system in great detail inthe hope of producing results with the greatest possible accuracy.Unfortunately, the level of detail we can incorporate will belimited by available computational power, availability of devicedetailed models, and limits on simulation run-times.So we will be forced to make decisions as to which parts of thescenario we wish to model in detail and which parts will besimulated using more “approximate” methods.Electronics KTN –Knowledge For Growth5. MaterialsAny simulation scenario is likely to incorporatenumerous different material typesLikely to range fromthe well-characterised (e.g. copper, silicon, FR-4) tothe obscure (e.g. device encapsulants).For the more obscure materialsthermal data may not be availablewe may be forced to make “educated guesses”So it’s important toknow which materials are used in our scenarioto gather as much thermal data as possible for thoseAny simulation scenario is likely to incorporate numerousdifferent material types.These are likely to range from the well-characterised (such ascopper, silicon, and FR-4) to the obscure (for instance, some ofthe plastics used as device encapsulants).For the more obscure materials, thermal data such as conductivity,specific heat, and so on, may not be available and so we may beforced to make “educated guesses”.It is important, therefore, that we are know which materials areused in our scenario, and that we gather as much thermal data aspossible for those materials.Electronics KTN –Knowledge For Growth6. ResultsWhat do we actually want the simulation to tell us?Some useful results could includedevice operating temperaturesenclosure surface temperatures“accidental”heating of parts of the systemdue to convection air currents, for examplecan be hard to predict using “rule of thumb”methodsMay also wish to look at the results ofattaching heat sinks to devicesspacing components across the boardIt is important that we define exactly what we want the simulationto tell us. Some useful results could include:•Device operating temperatures – are we likely to exceedspecified operating limits?•Enclosure surface temperatures – a possible safetyconcern for surfaces which may come into contact withhuman skin.•And the “accidental” heating of parts of the system dueto, for example, convection air currents, and this can bevery hard to predict using “rule of thumb” methods.•We may also wish to look at the results of, say, attachingheat sinks to devices, or the spacing of components across aPCB.Electronics KTN –Knowledge For GrowthSummaryWithout having even started up our thermal simulationsoftware package, we should now have a clear picture ofwhat we are trying to simulatewhat kind of results we are hoping forSo, without having even started up our thermal simulationsoftware package, we should now have a clear picture of what weare trying to simulate and what kind of results we are hoping for.Electronics KTN –Knowledge For GrowthBuilding and running a typical thermal simulationTypical simulation case, based on the six definitionsExample is a small motor control module8 power MOSFET detailed models mounted on a 4-layerPCB, each dissipating 0.5WPCB plus MOSFETs mounted in a plastic enclosuremodule mounted horizontally on a metal base plateworst-case ambient temperature 80°Cno forced airflow across module (natural convection only)Must not exceedmaximum operating temperature of MOSFET die (T j max)glass transition temperature (T g) of the PCBThis section of the presentation will describe how a typicalsimulation case is built and run, based on the six definitionsdetailed in Part 1.As an example we will simulate a small motor control moduledescribed as follows:•8 power MOSFET detailed models mounted on a 4-layerPCB, each dissipating 0.5W•the PCB plus MOSFETs is mounted in a plastic enclosure•the module is mounted horizontally on a metal base plate•worst-case ambient temperature is 80°C•there is no forced airflow across the module i.e. naturalconvection onlyIt is essential that we do not exceed either the maximum operatingtemperatures of the MOSFET die or the glass transitiontemperature of the PCB.Electronics KTN –Knowledge For Growth1. GoalWhat do we want to achieve?Primarily, we are looking for prediction of worst-case dieand PCB temperatures under the described conditionsThis is a “speculative”rather than “calibration”exerciseWhat do we want to achieve?Primarily, we are looking for a prediction of worst-case die andPCB temperatures under the described conditions.This is a “speculative” rather than “calibration” exercise.Electronics KTN –Knowledge For Growth2. ExtentWhat do we need to simulate?The PCB plus devices plus enclosure and arepresentation of the metal base plateBeyond this, we have no further information regardingthe local environment. However, the simulation “solutiondomain”should be large enough to model the convectionair currents around the moduleThe simulation should include all three heat transportmechanisms –conduction, convection and radiationWhat do we need to simulate?Clearly this is the PCB plus devices plus enclosure and arepresentation of the metal base plate.Beyond this, we have no further information regarding the localenvironment. However, the simulation “solution domain” shouldbe large enough to model the convection air currents around themodule.The simulation should include all three heat transport mechanisms– conduction, convection and radiation.Electronics KTN –Knowledge For Growth3. AmbientWe already know thatthe maximum ambient temperature is 80°Cthere is no forced airflowWe will assume thatthe module is used at sea-levelnormal gravity appliesthe module is not being used in a vacuumWe already know that the maximum ambient temperature is 80°C,and that there is no forced airflow.We will also assume that the module is used at sea-level, normalgravity applies, and the module is not being used in a vacuum.Electronics KTN –Knowledge For Growth4. Modelling levelWe wish to determine the device die operatingtemperatures as well as temperatures in the PCB copperFor the MOSFET devices and PCB layers we shouldtherefore model at the detailed rather than “lumped”levelThe simulation gridding scheme should be constructed toallow for this level of detailOther items, such as connectors, are of less concern andmay therefore be modelled in a more simplistic mannerWe wish to determine the device die operating temperatures aswell as temperatures in the PCB copper.For the MOSFET devices and PCB layers we should thereforemodel at the detailed rather than “lumped” level, and thesimulation gridding scheme should be constructed to allow forthis level of detail.Other items, such as connectors, are of less concern and maytherefore be modelled in a more simplistic manner.Predictions for the temperatures of The “solution domain”Module size is given as 126Defining the size of the solution domain #3Solutiondomainboundary220mmModuleBaseplate375mmGridding the solution domainBefore building any of the simulation geometry it isSetting ambient and boundary conditions #1Before defining the detailed geometry of the simulation,Electronics KTN –Knowledge For GrowthSetting ambient and boundary conditions #2For the “external world”the following conditionsmay be specifiedexternal pressure(1 atm)external ambient temperature(80°C)external radiant temperature(80°C)external air velocity(0 m/s in all directions)gravity(normal strength and direction)fluid(air at 80°C)For the external environment, the following conditions arespecified: external pressure, 1 atm; external ambient temperature,80°C; external radiant temperature, also 80°C; external airvelocity, 0 m/s in all directions; gravity, normal strength anddirection; and fluid is air at 80°C.Electronics KTN –Knowledge For GrowthSetting ambient and boundary conditions #3Within the solution domain the following conditionsare specifiedinitial pressure(1 atm)initial ambient temperature(80°C)initial air velocity(0 m/s in all directions)gravity(normal strength and direction)fluid(air initially at 80°C)Within the solution domain the following initial conditions arespecified: initial pressure, 1 atm; initial ambient temperature,80°C; initial air velocity, 0 m/s in all directions; gravity, normalstrength and direction; fluid, air initially at 80°C.Electronics KTN –Knowledge For GrowthCreating the base plateSimplest of all the geometry featuresmodelled using a single “cuboid”structureProperties which can be attached to a cuboidSize set to 212 x 206 x 10mmMaterial“Aluminium”default material property from Flotherm’s library that automaticallysets thermal conductivity, density and specific heat valuesSurface “Polished plate aluminium”also a default, whose primary function is setting the emissivity forthe surface, which is 0.038 in this caseThe base plate is the simplest of all the geometry features, and ismodelled using a single “cuboid” structure. The base plateprovides a good example of the properties which can be attachedto a cuboid. These are:•Firstly, Size: in this case set to 212×206×10mm.•Secondly, Material: in this case “Aluminium”. This is adefault material property from Flotherm's library whichautomatically sets thermal conductivity, density and specificheat values.•Third, Surface: “Polished plate aluminium”. This is also adefault, whose primary function is setting the emissivity forthe surface, which is 0.038 in this case.Electronics KTN –Knowledge For GrowthCreating the base plateSimplest of all the geometry featuresProperties which can be attached to a cuboidSize set to 212 x 206 x 10mm.Material“Aluminium”Surface “Polished plate aluminium”Thermal“Conducting, power=0”allows the base plate to conduct heat energy, but does not itselfgenerate any heat energyRadiation“Single”the base plate’s surfaces may exchange heat energy by radiativemeans. For the purposes of radiation calculations, the surfacesare treated as single entities with no sub-divisionThe base plate is shown in the next slide…•Fourthly, Thermal: “Conducting, power=0”. This allows thebase plate to conduct heat energy, but does not itselfgenerate any heat energy.•Fifth, Radiation. The base plate's surfaces may exchangeheat energy by radiative means. For the purposes ofradiation calculations, the surfaces are treated as singleentities, with no sub-division.The base plate is shown in the next slide…Creating the module housingThe next simplest part of the simulation geometry The next simplest part of the simulation geometryTwo possible approaches to creating PCB stack-upFR4FR4FR40.034mm0.034mmBottom copperInternal layerInternal layerCopper thickness is 0.035mm (1oz) on all layersElectronics KTN –Knowledge For Gridding the PCBNote thatminimum size of base grid for solution domain is 1mm parts of the board have dimensions as small as 0.035mm!To avoid ignoring detailed PCB geometrydefine a local area of gridding around the PCB allows for this much smaller geometryKnown as “nested”or “localized”griddingillustrated in the following slidesAdding localized grid region for the PCBSolution domain boundaryBase plateModule housingPCBRegion oflocalized griddingSolution domain boundaryBase gridRegion oflocalized griddingAdding the device modelsTwo possible approaches to modelling MOSFET devicesTwo possible approaches to modelling MOSFET devicesAn example of a MOSFET detailed model (top view)DieThe MOSFET detailed models will also require localized Region of localized gridding for PCBModule housingPCBRegion of localized gridding for deviceDevice detailed modelMOSFET detailed model plus localized gridBase gridRegion of localized gridding for PCBRegion of localized gridding for deviceThe completed PCB modelFor clarity, theenclosure andbase plate arenot shownConnectorPCBMOSFET modelRunning the simulation and viewing resultsHaving defined model geometry, ambient conditions,Profiles plot showing successful solution of the simulationSteady-statesolutionachievedherex-axis is nottime!Notes on the Profiles windowThe Profiles window has two panesProfiles plot showing successful solution of the simulationSteady-statesolutionachievedherex-axis is nottime!Viewing the resultsThere are several different ways in which we can view theConvergedvaluesThere are several different ways in which we can view thePCB surface temperature plotSurface temperature plots of the PCB, devices, enclosure, etc. Surface temperature plots are particularly useful for “getting the feel” of the thermal behaviour of a system.Electronics KTN –Knowledge For GrowthViewing the resultsThere are several different ways in which we can view the simulation resultsnumerical readings of the monitor point temperaturessurface temperature plots of the PCB, devices, enclosure, etc. plots of the airflow pattern around the PCB, enclosure, etc.Surface temperature plots are particularly useful for “getting the feel”of the thermal behaviour of a system Airflow plots may reveal unexpected thermal “cross-coupling”effects!There are several different ways in which we can view the simulation results•Numerical readings of the monitor point temperatures.• Surface temperature plots of the PCB, devices, enclosure, etc.•or as plots of the airflow pattern around the PCB, enclosure, etc.Surface temperature plots are particularly useful for “getting the feel” of the thermal behaviour of a system, whilst airflow plots may reveal unexpected thermal “cross-coupling” effects! Airflow plotPlots of the airflow pattern around the PCB, enclosure, etc. Airflow plots may reveal unexpected thermal “cross-coupling” effects!。