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Inverse heat conduction: ill-posed problems

By: Woodbury, Keith A
Contributor(s): Najafi, Hamidreza | Monte, Filippo de | Beck, James V
Language: English Publisher: New Jersey John Wiley & Sons c2023Edition: 2nd edDescription: xxviii, 324p.; 28cmISBN: 9781119840190Subject(s): Heat engineering | Thermodynamics | Heat transfer | ConductionDDC classification: 621.40223 WOO/I Online resources: Publisher's URL Summary: The Second Edition continues emphasis from the First Edition on linear heat conduction problems with revised presentation of Stolz, Function Specification, and Tikhonov Regularization methods, and expands coverage to include Conjugate Gradient Methods and the Singular Value Decomposition method. The Filter Matrix concept is explained and embraced throughout the presentation and allows any of these solution techniques to be represented in a simple explicit linear form. Two direct approaches suitable for non-linear problems, the Adjoint Method and Kalman Filtering, are presented, as well as an adaptation of the Filter Matrix approach applicable to non-linear heat conduction problems.
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Reference Reference CENTRAL LIBRARY
Reference (Sahyadri Campus)
Reference 621.40223 WOO/I Not for loan 09813

Table of Contents

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

The Second Edition continues emphasis from the First Edition on linear heat conduction problems with revised presentation of Stolz, Function Specification, and Tikhonov Regularization methods, and expands coverage to include Conjugate Gradient Methods and the Singular Value Decomposition method. The Filter Matrix concept is explained and embraced throughout the presentation and allows any of these solution techniques to be represented in a simple explicit linear form. Two direct approaches suitable for non-linear problems, the Adjoint Method and Kalman Filtering, are presented, as well as an adaptation of the Filter Matrix approach applicable to non-linear heat conduction problems.

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