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优化策略及其热能工程应用
作者:
李振哲 申允德 李峰勋 成泰洪 玄东吉 著
定价:
38 元
页数:
117页
ISBN:
978-7-309-12184-1/T.567
字数:
145千字
开本:
16 开
装帧:
平装
出版日期:
2016年5月       
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内容提要


       本书以车用燃料电池系统、车用蓄电池散热系统、热处理用真空炉、热成形加热系统为应用对象,系统地阐明优化模型、全局优化、多目标优化策略,并进行了不同方法之间的比较研究。首先,介绍基于解析解、分析数据库、响应面法、最小二乘法等理论的优化模型,探讨提高优化效率的途径。然后,说明基于遗传算法、梯度法和实验设计法、遗传算法和梯度法的全局优化策略,讨论得到全局优化结果的可靠有效方法。最后,阐述基于线性加权法、理想点法、宽容序列法的多目标优化策略,揭示多目标优化策略的实质。本书将为优化工程实际问题提供坚实的理论基础。
      

作者简介


       李振哲,男,工学博士,讲师。2009年毕业于韩国全南大学机械工学科,获工学博士学位;2009年至今,在温州大学机电工程学院任教。主要研究领域有传热学、计算流体力学、优化策略等。在Int. J. of Precision Engineering and Manufacturing,J. of Thermal Science and Technology等SCI期刊上发表论文14篇;主持项目包括浙江省自然科学基金项目等共9项;授权发明专利共6项;出版英文学术专著Thermal Management Technology for Thermoforming Process(主编)。
      

书摘


       Contents
      
       Introduction to research team
       Preface
       Nomenclature
       Greek symbols
       Subscripts
      
       1.Introduction
       1.1Research background
       1.2Design process
       1.3Optimization algorithm
       1.4Classification of optimization problem
      
       2.Modeling strategies for optimization
       2.1Modeling strategy based on finite concept
       2.1.1Introduction to research field
       2.1.2Analysis model
       2.1.3Development of analysis code suitable for preheating process
       2.1.3.1Radiative heat transfer
       2.1.3.2Convective heat transfer
       2.1.3.3Conductive heat transfer
       2.1.4Steady optimization for heater power distribution
       2.1.5Summary
       2.2Modeling strategy based on design of experiments
       2.2.1Introduction to research field
       2.2.2Numerical model and analysis conditions
       2.2.3Comparison of cases having porous material or not
       2.2.4Optimization strategy
       2.2.4.1Concept of Doptimal design
       2.2.4.2Optimization using DOE method
       2.2.5Summary
       2.3Modeling strategy based on analysis database
       2.3.1Introduction to research field
       2.3.2System setup and experimental method
       2.3.3Design of baseline vacuum furnace
       2.3.3.1Definition of shape
       2.3.3.2Comparison of cases nearly vacuum or argon gas
       2.3.4Construction of thermal analysis database
       2.3.4.1Thermal analysis of vacuum furnace
       2.3.4.2Calculation of thermal conductivity
       2.3.4.3Thermal analysis database
       2.3.5Optimal design strategy
       2.3.5.1Classification of problem
       2.3.5.2Process using thermal analysis database
       2.3.6Optimized results
       2.3.6.1Accuracy verification
       2.3.6.2Discussion of results
       2.3.6.3Feasible optimal design
       2.3.7Rebuilding of design method
       2.3.8Summary
       2.4Modeling strategy based on response surface method
       2.4.1Introduction to research field
       2.4.2Dynamic model for fuel cell
       2.4.2.1Cathode mass flow model
       2.4.2.2Anode mass flow model
       2.4.2.3Membrane hydration model
       2.4.2.4Stack voltage model
       2.4.2.5Cathode GDL model
       2.4.2.6Anode GDL model
       2.4.3Model calibration
       2.4.4Optimization design using RSM
       2.4.4.1Concept of response surface method
       2.4.4.2Construction of response surface
       2.4.4.3Optimal design with response surface
       2.4.5Summary
       2.5Modeling strategy based on analytic method
       2.5.1Optimization using analytic method
       2.5.1.11-d analytic solution
       2.5.1.2Optimal strategy and results
       2.5.2Optimization using finite difference method
       2.5.2.1Classification of problem
       2.5.2.2Optimal results and discussion
       2.5.3Summary
      
       3.Global optimization strategy
       3.1Global optimization strategy based on genetic algorithm
       3.1.1Construction of fitting function
       3.1.2Discussion of optimization results
       3.1.3Summary
       3.2Global optimization strategy based on DOE and GBM
       3.2.1Model descriptions
       3.2.2Time for obtaining steady state
       3.2.3Setup of fitting function
       3.2.4Global optimization
       3.2.5Summary
      
       4.Multi-objective optimal strategy
       4.1Multi-objective strategy based on Benson method
       4.1.1Parameter study
       4.1.2Optimal strategy based on Benson method
       4.1.3Summary
       4.2Multi-objective strategy based on layered sequence method
       4.2.1Construction of fitting function
       4.2.2Multi-objective global optimization
       4.2.3Summary
       4.3Multi-objective strategy based on linear weighted method
       4.3.1Construction of response surface
       4.3.2Optimal design and discussion
       4.3.3Summary
       4.4Multi-objective strategy based on ideal point method
       4.4.1Optimal heater power distribution
       4.4.2Optimal design using ideal point method
       4.4.2.1Effect of a damaged heater
       4.4.2.2Optimal results and discussion
       4.4.3Summary
      
       5.Conclusions
      
       6.Acknowledgements
      
       References
      
       Index
      

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