Inverse Heat Conduction
-15%
portes grátis
Inverse Heat Conduction
Ill-Posed Problems
Woodbury, Keith A.; de Monte, Filippo; Najafi, Hamidreza; Beck, James V.
John Wiley & Sons Inc
04/2023
352
Dura
Inglês
9781119840190
15 a 20 dias
1058
Descrição não disponível.
Preface First Edition
Preface Second Edition
Nomenclature
1 Inverse Heat Conduction Problems: An Overview 1-1
1.1 Introduction 1-1
1.2 Basic Mathematical Description 1-3
1.3 Classification of Methods 1-5
1.4 Function Estimation Versus Parameter Estimation 1-7
1.5 Other Inverse Function Estimation Problems 1-7
1.6 Early Works on IHCPs 1-9
1.7 Applications of IHCPS: A Modern Look 1-10
1.8 Measurements 1-20
1.9 Criteria for Evaluation of IHCP Methods 1-23
1.10 Scope of Book 1-24
1.11 Chapter Summary 1-24
1.12 References 1-25
1.13 List of Figures 1-33
1.14 List of Tables 1-34
2 Analytical Solutions of Direct Heat Conduction Problems 2.1
2.1 Introduction 2.1
2.2 Numbering System 2.2
2.3 One-Dimensional Temperature Solutions 2.3
2.4 Two-Dimensional Temperature Solutions 2.27
2.5 Chapter Summary 2.48
2.6 References 2.50
2.7 Problems 2.52
2.8 List of Figures 2.55
2.9 List of Tables 2.56
3 Approximate Methods for Direct Heat Conduction Problems 3-1
3.1 Introduction 3-1
3.2 Superposition Principles 3-2
3.3 One-Dimensional Problem with Time-Dependent Surface Temperature 3-4
3.4 One-Dimensional Problem with Time-Dependent Surface Heat Flux 3-21
3.5 Two-Dimensional Problem with Space-Dependent and Constant Surface Heat Flux 3-34
3.6 Two-Dimensional Problem with Space- and Time-Dependent Surface Heat Flux 3-41
3.7 Chapter Summary 3-52
3.8 References 3-53
3.9 Problems 3-53
3.10 List of Figures 3-59
3.11 List of Tables 3-60
4 Inverse Heat Conduction Estimation Procedures 4.1
4.1 Introduction 4.1
4.2 Why is the IHCP Difficult? 4.2
4.3 Ill-Posed Problems 4.4
4.4 IHCP Solution Methodology 4.8
4.5 Sensitivity Coefficients 4.9
4.6 Stolz Method: Single Future Time Step Method 4.19
4.7 Function Specification Method 4.23
4.8 Tikhonov Regularization Method 4.35
4.9 Gradient Methods 4.44
4.10 Truncated Singular Value Decomposition Method 4.55
4.11 Kalman Filter 4.58
4.12 Chapter Summary 4.66
4.13 References 4.67
4.14 Problems 4.71
4.15 List of Figures 4.74
4.16 List of Tables 4.75
5 Filter Form of IHCP Solution 5-1
5.1 Introduction 5-1
5.2 Temperature Perturbation Approach 5-1
5.3 Filter Matrix Perspective 5-3
5.4 Sequential Filter Form 5-15
5.5 Using Second Temperature Sensor as Boundary Condition 5-18
5.6 Filter Coefficients for Multi-Layer Domain 5-26
5.7 Filter Coefficients for Non-Linear IHCP: Application for Heat Flux Measurement Using Directional Flame Thermometer 5-33
5.8 Chapter Summary 5-46
5.9 Problems 5-46
5.10 References 5-47
5.11 List of Figures 5-49
5.12 List of Tables 5-51
6 Optimal Regularization 6.1
6.1 Preliminaries 6.1
6.2 Two Conflicting Objectives 6.2
6.3 Mean Squared Error 6.4
6.4 Minimize Mean Squared Error in Heat Flux 6.5
6.5 Minimize Mean Squared Error in Temperature 6.13
6.6 The L-curve 6.17
6.7 Generalized Cross Validation 6.20
6.8 Chapter Summary 6.24
6.9 References 6.26
6.10 Problems 6.27
6.11 List of Figures 6.28
6.12 List of Tables 6.29
7 Evaluation of IHCP Solution Procedures 7.1
7.1 Introduction 7.1
7.2 Test Cases 7.3
7.3 Function Specification Method 7.13
7.4 Tikhonov Regularization 7.22
7.5 Conjugate Gradient Method 7.29
7.6 Truncated Singular Value Decomposition 7.37
7.7 Kalman Filter 7.44
7.8 Chapter Summary 7.51
7.9 References 7.55
7.10 Problems 7.55
7.11 List of Figures 7.57
7.12 List of Tables 7.61
8 Multiple Heat Flux Estimation 8-1
8.1 Introduction 8-1
8.2 The forward and the inverse problems 8-1
8.3 Examples 8-7
8.4 Chapter Summary 8-15
8.5 References 8-16
8.6 Problems 8-16
8.7 List of Figures 8-17
8.8 List of Tables 8-19
9 Heat Transfer Coefficient Estimation 9-1
9.1 Introduction 9-1
9.2 Sensitivity Coefficients 9-4
9.3 Lumped Body Analyses 9-8
9.4 Bodies with Internal Temperature Gradients 9-15
9.5 Chapter Summary 9-18
9.6 References 9-18
9.7 Problems 9-20
9.8 Figures 9-21
9.9 Tables 9-22
10 Temperature Measurement 10.1
10.1 Introduction 10.1
10.2 Correction Kernel Concept 10.3
10.3 Unsteady surface element method 10.16
10.4 Chapter Summary 10.22
10.5 References 10.23
10.6 Problems 10.25
10.7 Figures 10.27
10.8 Tables 10.27
Appendices
A Numbering System A.1
A.1 Dimensionality, coordinate system, and types of boundary condition A.1
A.2 Boundary condition information A.2
A.3 Initial temperature distribution A.5
A.4 REFERENCES A.6
B Exact Solution X22B(y1pt1)0Y22B00T0 B.1
B.1 Exact analytical solution. Short-time form B.1
B.2 Exact analytical solution. Large-time form B.4
B.3 References B.8
C Green's functions Solution Equation C-1
C.1 Introduction C-1
C.2 One-Dimensional Problem with Time-Dependent Surface Temperature C-1
C.3 One-Dimensional Problem with Time-Dependent Surface Heat Flux C-9
C.4 Two-Dimensional Problem With Space- And Time-Dependent Surface Heat Flux C-14
C.5 References C-16
C.6 List of Figures C-16
Preface Second Edition
Nomenclature
1 Inverse Heat Conduction Problems: An Overview 1-1
1.1 Introduction 1-1
1.2 Basic Mathematical Description 1-3
1.3 Classification of Methods 1-5
1.4 Function Estimation Versus Parameter Estimation 1-7
1.5 Other Inverse Function Estimation Problems 1-7
1.6 Early Works on IHCPs 1-9
1.7 Applications of IHCPS: A Modern Look 1-10
1.8 Measurements 1-20
1.9 Criteria for Evaluation of IHCP Methods 1-23
1.10 Scope of Book 1-24
1.11 Chapter Summary 1-24
1.12 References 1-25
1.13 List of Figures 1-33
1.14 List of Tables 1-34
2 Analytical Solutions of Direct Heat Conduction Problems 2.1
2.1 Introduction 2.1
2.2 Numbering System 2.2
2.3 One-Dimensional Temperature Solutions 2.3
2.4 Two-Dimensional Temperature Solutions 2.27
2.5 Chapter Summary 2.48
2.6 References 2.50
2.7 Problems 2.52
2.8 List of Figures 2.55
2.9 List of Tables 2.56
3 Approximate Methods for Direct Heat Conduction Problems 3-1
3.1 Introduction 3-1
3.2 Superposition Principles 3-2
3.3 One-Dimensional Problem with Time-Dependent Surface Temperature 3-4
3.4 One-Dimensional Problem with Time-Dependent Surface Heat Flux 3-21
3.5 Two-Dimensional Problem with Space-Dependent and Constant Surface Heat Flux 3-34
3.6 Two-Dimensional Problem with Space- and Time-Dependent Surface Heat Flux 3-41
3.7 Chapter Summary 3-52
3.8 References 3-53
3.9 Problems 3-53
3.10 List of Figures 3-59
3.11 List of Tables 3-60
4 Inverse Heat Conduction Estimation Procedures 4.1
4.1 Introduction 4.1
4.2 Why is the IHCP Difficult? 4.2
4.3 Ill-Posed Problems 4.4
4.4 IHCP Solution Methodology 4.8
4.5 Sensitivity Coefficients 4.9
4.6 Stolz Method: Single Future Time Step Method 4.19
4.7 Function Specification Method 4.23
4.8 Tikhonov Regularization Method 4.35
4.9 Gradient Methods 4.44
4.10 Truncated Singular Value Decomposition Method 4.55
4.11 Kalman Filter 4.58
4.12 Chapter Summary 4.66
4.13 References 4.67
4.14 Problems 4.71
4.15 List of Figures 4.74
4.16 List of Tables 4.75
5 Filter Form of IHCP Solution 5-1
5.1 Introduction 5-1
5.2 Temperature Perturbation Approach 5-1
5.3 Filter Matrix Perspective 5-3
5.4 Sequential Filter Form 5-15
5.5 Using Second Temperature Sensor as Boundary Condition 5-18
5.6 Filter Coefficients for Multi-Layer Domain 5-26
5.7 Filter Coefficients for Non-Linear IHCP: Application for Heat Flux Measurement Using Directional Flame Thermometer 5-33
5.8 Chapter Summary 5-46
5.9 Problems 5-46
5.10 References 5-47
5.11 List of Figures 5-49
5.12 List of Tables 5-51
6 Optimal Regularization 6.1
6.1 Preliminaries 6.1
6.2 Two Conflicting Objectives 6.2
6.3 Mean Squared Error 6.4
6.4 Minimize Mean Squared Error in Heat Flux 6.5
6.5 Minimize Mean Squared Error in Temperature 6.13
6.6 The L-curve 6.17
6.7 Generalized Cross Validation 6.20
6.8 Chapter Summary 6.24
6.9 References 6.26
6.10 Problems 6.27
6.11 List of Figures 6.28
6.12 List of Tables 6.29
7 Evaluation of IHCP Solution Procedures 7.1
7.1 Introduction 7.1
7.2 Test Cases 7.3
7.3 Function Specification Method 7.13
7.4 Tikhonov Regularization 7.22
7.5 Conjugate Gradient Method 7.29
7.6 Truncated Singular Value Decomposition 7.37
7.7 Kalman Filter 7.44
7.8 Chapter Summary 7.51
7.9 References 7.55
7.10 Problems 7.55
7.11 List of Figures 7.57
7.12 List of Tables 7.61
8 Multiple Heat Flux Estimation 8-1
8.1 Introduction 8-1
8.2 The forward and the inverse problems 8-1
8.3 Examples 8-7
8.4 Chapter Summary 8-15
8.5 References 8-16
8.6 Problems 8-16
8.7 List of Figures 8-17
8.8 List of Tables 8-19
9 Heat Transfer Coefficient Estimation 9-1
9.1 Introduction 9-1
9.2 Sensitivity Coefficients 9-4
9.3 Lumped Body Analyses 9-8
9.4 Bodies with Internal Temperature Gradients 9-15
9.5 Chapter Summary 9-18
9.6 References 9-18
9.7 Problems 9-20
9.8 Figures 9-21
9.9 Tables 9-22
10 Temperature Measurement 10.1
10.1 Introduction 10.1
10.2 Correction Kernel Concept 10.3
10.3 Unsteady surface element method 10.16
10.4 Chapter Summary 10.22
10.5 References 10.23
10.6 Problems 10.25
10.7 Figures 10.27
10.8 Tables 10.27
Appendices
A Numbering System A.1
A.1 Dimensionality, coordinate system, and types of boundary condition A.1
A.2 Boundary condition information A.2
A.3 Initial temperature distribution A.5
A.4 REFERENCES A.6
B Exact Solution X22B(y1pt1)0Y22B00T0 B.1
B.1 Exact analytical solution. Short-time form B.1
B.2 Exact analytical solution. Large-time form B.4
B.3 References B.8
C Green's functions Solution Equation C-1
C.1 Introduction C-1
C.2 One-Dimensional Problem with Time-Dependent Surface Temperature C-1
C.3 One-Dimensional Problem with Time-Dependent Surface Heat Flux C-9
C.4 Two-Dimensional Problem With Space- And Time-Dependent Surface Heat Flux C-14
C.5 References C-16
C.6 List of Figures C-16
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Ill-posed problem; Inverse Heat Conduction Problem; IHCP; Surface Heat Flux Estimation; Surface Temperature Estimation; Exact Analytical Solution, Computational Analytical Solution; Superposition-based Approximate Solution; Piecewise-constant and Piecewise-uniform Profiles; Building Block Solution; Stoltz method; Function Specification method; Tikhonov Regularization method; Singular Value Decomposition method; Conjugate Gradient method; Adjoint method; Filter Matrix Concept; Digital Filter; Filter Coefficients; Kalman Filtering; Optimal Regularization; Morozov Discrepancy Principle; L-curve method; Generalized Cross Validation; Temperature Measurement Bias; Multiple Heat Flux Estimation; Heat Transfer Coefficient Estimation
Preface First Edition
Preface Second Edition
Nomenclature
1 Inverse Heat Conduction Problems: An Overview 1-1
1.1 Introduction 1-1
1.2 Basic Mathematical Description 1-3
1.3 Classification of Methods 1-5
1.4 Function Estimation Versus Parameter Estimation 1-7
1.5 Other Inverse Function Estimation Problems 1-7
1.6 Early Works on IHCPs 1-9
1.7 Applications of IHCPS: A Modern Look 1-10
1.8 Measurements 1-20
1.9 Criteria for Evaluation of IHCP Methods 1-23
1.10 Scope of Book 1-24
1.11 Chapter Summary 1-24
1.12 References 1-25
1.13 List of Figures 1-33
1.14 List of Tables 1-34
2 Analytical Solutions of Direct Heat Conduction Problems 2.1
2.1 Introduction 2.1
2.2 Numbering System 2.2
2.3 One-Dimensional Temperature Solutions 2.3
2.4 Two-Dimensional Temperature Solutions 2.27
2.5 Chapter Summary 2.48
2.6 References 2.50
2.7 Problems 2.52
2.8 List of Figures 2.55
2.9 List of Tables 2.56
3 Approximate Methods for Direct Heat Conduction Problems 3-1
3.1 Introduction 3-1
3.2 Superposition Principles 3-2
3.3 One-Dimensional Problem with Time-Dependent Surface Temperature 3-4
3.4 One-Dimensional Problem with Time-Dependent Surface Heat Flux 3-21
3.5 Two-Dimensional Problem with Space-Dependent and Constant Surface Heat Flux 3-34
3.6 Two-Dimensional Problem with Space- and Time-Dependent Surface Heat Flux 3-41
3.7 Chapter Summary 3-52
3.8 References 3-53
3.9 Problems 3-53
3.10 List of Figures 3-59
3.11 List of Tables 3-60
4 Inverse Heat Conduction Estimation Procedures 4.1
4.1 Introduction 4.1
4.2 Why is the IHCP Difficult? 4.2
4.3 Ill-Posed Problems 4.4
4.4 IHCP Solution Methodology 4.8
4.5 Sensitivity Coefficients 4.9
4.6 Stolz Method: Single Future Time Step Method 4.19
4.7 Function Specification Method 4.23
4.8 Tikhonov Regularization Method 4.35
4.9 Gradient Methods 4.44
4.10 Truncated Singular Value Decomposition Method 4.55
4.11 Kalman Filter 4.58
4.12 Chapter Summary 4.66
4.13 References 4.67
4.14 Problems 4.71
4.15 List of Figures 4.74
4.16 List of Tables 4.75
5 Filter Form of IHCP Solution 5-1
5.1 Introduction 5-1
5.2 Temperature Perturbation Approach 5-1
5.3 Filter Matrix Perspective 5-3
5.4 Sequential Filter Form 5-15
5.5 Using Second Temperature Sensor as Boundary Condition 5-18
5.6 Filter Coefficients for Multi-Layer Domain 5-26
5.7 Filter Coefficients for Non-Linear IHCP: Application for Heat Flux Measurement Using Directional Flame Thermometer 5-33
5.8 Chapter Summary 5-46
5.9 Problems 5-46
5.10 References 5-47
5.11 List of Figures 5-49
5.12 List of Tables 5-51
6 Optimal Regularization 6.1
6.1 Preliminaries 6.1
6.2 Two Conflicting Objectives 6.2
6.3 Mean Squared Error 6.4
6.4 Minimize Mean Squared Error in Heat Flux 6.5
6.5 Minimize Mean Squared Error in Temperature 6.13
6.6 The L-curve 6.17
6.7 Generalized Cross Validation 6.20
6.8 Chapter Summary 6.24
6.9 References 6.26
6.10 Problems 6.27
6.11 List of Figures 6.28
6.12 List of Tables 6.29
7 Evaluation of IHCP Solution Procedures 7.1
7.1 Introduction 7.1
7.2 Test Cases 7.3
7.3 Function Specification Method 7.13
7.4 Tikhonov Regularization 7.22
7.5 Conjugate Gradient Method 7.29
7.6 Truncated Singular Value Decomposition 7.37
7.7 Kalman Filter 7.44
7.8 Chapter Summary 7.51
7.9 References 7.55
7.10 Problems 7.55
7.11 List of Figures 7.57
7.12 List of Tables 7.61
8 Multiple Heat Flux Estimation 8-1
8.1 Introduction 8-1
8.2 The forward and the inverse problems 8-1
8.3 Examples 8-7
8.4 Chapter Summary 8-15
8.5 References 8-16
8.6 Problems 8-16
8.7 List of Figures 8-17
8.8 List of Tables 8-19
9 Heat Transfer Coefficient Estimation 9-1
9.1 Introduction 9-1
9.2 Sensitivity Coefficients 9-4
9.3 Lumped Body Analyses 9-8
9.4 Bodies with Internal Temperature Gradients 9-15
9.5 Chapter Summary 9-18
9.6 References 9-18
9.7 Problems 9-20
9.8 Figures 9-21
9.9 Tables 9-22
10 Temperature Measurement 10.1
10.1 Introduction 10.1
10.2 Correction Kernel Concept 10.3
10.3 Unsteady surface element method 10.16
10.4 Chapter Summary 10.22
10.5 References 10.23
10.6 Problems 10.25
10.7 Figures 10.27
10.8 Tables 10.27
Appendices
A Numbering System A.1
A.1 Dimensionality, coordinate system, and types of boundary condition A.1
A.2 Boundary condition information A.2
A.3 Initial temperature distribution A.5
A.4 REFERENCES A.6
B Exact Solution X22B(y1pt1)0Y22B00T0 B.1
B.1 Exact analytical solution. Short-time form B.1
B.2 Exact analytical solution. Large-time form B.4
B.3 References B.8
C Green's functions Solution Equation C-1
C.1 Introduction C-1
C.2 One-Dimensional Problem with Time-Dependent Surface Temperature C-1
C.3 One-Dimensional Problem with Time-Dependent Surface Heat Flux C-9
C.4 Two-Dimensional Problem With Space- And Time-Dependent Surface Heat Flux C-14
C.5 References C-16
C.6 List of Figures C-16
Preface Second Edition
Nomenclature
1 Inverse Heat Conduction Problems: An Overview 1-1
1.1 Introduction 1-1
1.2 Basic Mathematical Description 1-3
1.3 Classification of Methods 1-5
1.4 Function Estimation Versus Parameter Estimation 1-7
1.5 Other Inverse Function Estimation Problems 1-7
1.6 Early Works on IHCPs 1-9
1.7 Applications of IHCPS: A Modern Look 1-10
1.8 Measurements 1-20
1.9 Criteria for Evaluation of IHCP Methods 1-23
1.10 Scope of Book 1-24
1.11 Chapter Summary 1-24
1.12 References 1-25
1.13 List of Figures 1-33
1.14 List of Tables 1-34
2 Analytical Solutions of Direct Heat Conduction Problems 2.1
2.1 Introduction 2.1
2.2 Numbering System 2.2
2.3 One-Dimensional Temperature Solutions 2.3
2.4 Two-Dimensional Temperature Solutions 2.27
2.5 Chapter Summary 2.48
2.6 References 2.50
2.7 Problems 2.52
2.8 List of Figures 2.55
2.9 List of Tables 2.56
3 Approximate Methods for Direct Heat Conduction Problems 3-1
3.1 Introduction 3-1
3.2 Superposition Principles 3-2
3.3 One-Dimensional Problem with Time-Dependent Surface Temperature 3-4
3.4 One-Dimensional Problem with Time-Dependent Surface Heat Flux 3-21
3.5 Two-Dimensional Problem with Space-Dependent and Constant Surface Heat Flux 3-34
3.6 Two-Dimensional Problem with Space- and Time-Dependent Surface Heat Flux 3-41
3.7 Chapter Summary 3-52
3.8 References 3-53
3.9 Problems 3-53
3.10 List of Figures 3-59
3.11 List of Tables 3-60
4 Inverse Heat Conduction Estimation Procedures 4.1
4.1 Introduction 4.1
4.2 Why is the IHCP Difficult? 4.2
4.3 Ill-Posed Problems 4.4
4.4 IHCP Solution Methodology 4.8
4.5 Sensitivity Coefficients 4.9
4.6 Stolz Method: Single Future Time Step Method 4.19
4.7 Function Specification Method 4.23
4.8 Tikhonov Regularization Method 4.35
4.9 Gradient Methods 4.44
4.10 Truncated Singular Value Decomposition Method 4.55
4.11 Kalman Filter 4.58
4.12 Chapter Summary 4.66
4.13 References 4.67
4.14 Problems 4.71
4.15 List of Figures 4.74
4.16 List of Tables 4.75
5 Filter Form of IHCP Solution 5-1
5.1 Introduction 5-1
5.2 Temperature Perturbation Approach 5-1
5.3 Filter Matrix Perspective 5-3
5.4 Sequential Filter Form 5-15
5.5 Using Second Temperature Sensor as Boundary Condition 5-18
5.6 Filter Coefficients for Multi-Layer Domain 5-26
5.7 Filter Coefficients for Non-Linear IHCP: Application for Heat Flux Measurement Using Directional Flame Thermometer 5-33
5.8 Chapter Summary 5-46
5.9 Problems 5-46
5.10 References 5-47
5.11 List of Figures 5-49
5.12 List of Tables 5-51
6 Optimal Regularization 6.1
6.1 Preliminaries 6.1
6.2 Two Conflicting Objectives 6.2
6.3 Mean Squared Error 6.4
6.4 Minimize Mean Squared Error in Heat Flux 6.5
6.5 Minimize Mean Squared Error in Temperature 6.13
6.6 The L-curve 6.17
6.7 Generalized Cross Validation 6.20
6.8 Chapter Summary 6.24
6.9 References 6.26
6.10 Problems 6.27
6.11 List of Figures 6.28
6.12 List of Tables 6.29
7 Evaluation of IHCP Solution Procedures 7.1
7.1 Introduction 7.1
7.2 Test Cases 7.3
7.3 Function Specification Method 7.13
7.4 Tikhonov Regularization 7.22
7.5 Conjugate Gradient Method 7.29
7.6 Truncated Singular Value Decomposition 7.37
7.7 Kalman Filter 7.44
7.8 Chapter Summary 7.51
7.9 References 7.55
7.10 Problems 7.55
7.11 List of Figures 7.57
7.12 List of Tables 7.61
8 Multiple Heat Flux Estimation 8-1
8.1 Introduction 8-1
8.2 The forward and the inverse problems 8-1
8.3 Examples 8-7
8.4 Chapter Summary 8-15
8.5 References 8-16
8.6 Problems 8-16
8.7 List of Figures 8-17
8.8 List of Tables 8-19
9 Heat Transfer Coefficient Estimation 9-1
9.1 Introduction 9-1
9.2 Sensitivity Coefficients 9-4
9.3 Lumped Body Analyses 9-8
9.4 Bodies with Internal Temperature Gradients 9-15
9.5 Chapter Summary 9-18
9.6 References 9-18
9.7 Problems 9-20
9.8 Figures 9-21
9.9 Tables 9-22
10 Temperature Measurement 10.1
10.1 Introduction 10.1
10.2 Correction Kernel Concept 10.3
10.3 Unsteady surface element method 10.16
10.4 Chapter Summary 10.22
10.5 References 10.23
10.6 Problems 10.25
10.7 Figures 10.27
10.8 Tables 10.27
Appendices
A Numbering System A.1
A.1 Dimensionality, coordinate system, and types of boundary condition A.1
A.2 Boundary condition information A.2
A.3 Initial temperature distribution A.5
A.4 REFERENCES A.6
B Exact Solution X22B(y1pt1)0Y22B00T0 B.1
B.1 Exact analytical solution. Short-time form B.1
B.2 Exact analytical solution. Large-time form B.4
B.3 References B.8
C Green's functions Solution Equation C-1
C.1 Introduction C-1
C.2 One-Dimensional Problem with Time-Dependent Surface Temperature C-1
C.3 One-Dimensional Problem with Time-Dependent Surface Heat Flux C-9
C.4 Two-Dimensional Problem With Space- And Time-Dependent Surface Heat Flux C-14
C.5 References C-16
C.6 List of Figures C-16
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Ill-posed problem; Inverse Heat Conduction Problem; IHCP; Surface Heat Flux Estimation; Surface Temperature Estimation; Exact Analytical Solution, Computational Analytical Solution; Superposition-based Approximate Solution; Piecewise-constant and Piecewise-uniform Profiles; Building Block Solution; Stoltz method; Function Specification method; Tikhonov Regularization method; Singular Value Decomposition method; Conjugate Gradient method; Adjoint method; Filter Matrix Concept; Digital Filter; Filter Coefficients; Kalman Filtering; Optimal Regularization; Morozov Discrepancy Principle; L-curve method; Generalized Cross Validation; Temperature Measurement Bias; Multiple Heat Flux Estimation; Heat Transfer Coefficient Estimation
