优化策略及其热能工程应用2025|PDF|Epub|mobi|kindle电子书版本百度云盘下载

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Introduction to research team1

Preface1

Nomenclature1

Greek symbols1

Subscripts1

1．Introduction1

1.1 Research background1

1.2 Design process2

1.3 Optimization algorithm3

1.4 Classification of optimization problem5

2．Modeling strategies for optimization7

2.1 Modeling strategy based on finite concept7

2.1.1 Introduction to research field7

2.1.2 Analysis model8

2.1.3 Development of analysis code suitable for preheating process9

2.1.3.1 Radiative heat transfer9

2.1.3.2 Convective heat transfer14

2.1.3.3 Conductive heat transfer15

2.1.4 Steady optimization for heater power distribution17

2.1.5 Summary22

2.2 Modeling strategy based on design of experiments22

2.2.1 Introduction to research field22

2.2.2 Numerical model and analysis conditions23

2.2.3 Comparison of cases having porous material or not25

2.2.4 Optimization strategy27

2.2.4.1 Concept of D-optimal design27

2.2.4.2 Optimization using DOE method27

2.2.5 Summary30

2.3 Modeling strategy based on analysis database30

2.3.1 Introduction to research field30

2.3.2 System setup and experimental method31

2.3.3 Design of baseline vacuum furnace33

2.3.3.1 Definition of shape33

2.3.3.2 Comparison of cases nearly vacuum or argon gas33

2.3.4 Construction of thermal analysis database35

2.3.4.1 Thermal analysis of vacuum furnace35

2.3.4.2 Calculation of thermal conductivity36

2.3.4.3 Thermal analysis database37

2.3.5 Optimal design strategy38

2.3.5.1 Classification of problem38

2.3.5.2 Process using thermal analysis database38

2.3.6 Optimized results39

2.3.6.1 Accuracy verification39

2.3.6.2 Discussion of results40

2.3.6.3 Feasible optimal design42

2.3.7 Rebuilding of design method43

2.3.8 Summary44

2.4 Modeling strategy based on response surface method44

2.4.1 Introduction to research field45

2.4.2 Dynamic model for fuel cell46

2.4.2.1 Cathode mass flow model47

2.4.2.2 Anode mass flow model49

2.4.2.3 Membrane hydration model50

2.4.2.4 Stack voltage model50

2.4.2.5 Cathode GDL model53

2.4.2.6 Anode GDL model55

2.4.3 Model calibration55

2.4.4 Optimization design using RSM58

2.4.4.1 Concept of response surface method59

2.4.4.2 Construction of response surface61

2.4.4.3 Optimal design with response surface64

2.4.5 Summary65

2.5 Modeling strategy based on analytic method65

2.5.1 Optimization using analytic method65

2.5.1.1 1-d analytic solution65

2.5.1.2 Optimal strategy and results67

2.5.2 Optimization using finite difference method72

2.5.2.1 Classification of problem72

2.5.2.2 Optimal results and discussion72

2.5.3 Summary76

3．Global optimization strategy77

3.1 Global optimization strategy based on genetic algorithm77

3.1.1 Construction of fitting function77

3.1.2 Discussion of optimization results80

3.1.3 Summary81

3.2 Global optimization strategy based on DOE and GBM81

3.2.1 Model descriptions82

3.2.2 Time for obtaining steady state83

3.2.3 Setup of fitting function84

3.2.4 Global optimization87

3.2.5 Summary90

4．Multi-objective optimal strategy90

4.1 Multi-objective strategy based on Benson method90

4.1.1 Parameter study90

4.1.2 Optimal strategy based on Benson method92

4.1.3 Summary93

4.2 Multi-objective strategy based on layered sequence method93

4.2.1 Construction of fitting function94

4.2.2 Multi-objective global optimization96

4.3 Multi-objective strategy based on linear weighted method99

4.3.1 Construction of response surface99

4.3.2 Optimal design and discussion103

4.3.3 Summary104

4.4 Multi-objective strategy based on ideal point method105

4.4.1 Optimal heater power distribution105

4.4.2 Optimal design using ideal point method107

4.4.2.1 Effect of a damaged heater107

4.4.2.2 Optimal results and discussion108

4.4.3 Summary109

5．Conclusions110

6．Acknowledgements111

References112

Index116