Engineering Design and Optimization of Thermofluid Systems
(Sprache: Englisch)
A practical and accessible introductory textbook that enables engineering students to design and optimize typical thermofluid systems
Engineering Design and Optimization of Thermofluid Systems is designed to help students and professionals alike...
Engineering Design and Optimization of Thermofluid Systems is designed to help students and professionals alike...
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Klappentext zu „Engineering Design and Optimization of Thermofluid Systems “
A practical and accessible introductory textbook that enables engineering students to design and optimize typical thermofluid systemsEngineering Design and Optimization of Thermofluid Systems is designed to help students and professionals alike understand the design and optimization techniques used to create complex engineering systems that incorporate heat transfer, thermodynamics, fluid dynamics, and mass transfer. Designed for thermal systems design courses, this comprehensive textbook covers thermofluid theory, practical applications, and established techniques for improved performance, efficiency, and economy of thermofluid systems. Students gain a solid understanding of best practices for the design of pumps, compressors, heat exchangers, HVAC systems, power generation systems, and more.
Covering the material using a pragmatic, student-friendly approach, the text begins by introducing design, optimization, and engineering economics--with emphasis on the importance of engineering optimization in maximizing efficiency and minimizing cost. Subsequent chapters review representative thermofluid systems and devices and discuss basic mathematical models for describing thermofluid systems. Moving on to system simulation, students work with the classical calculus method, the Lagrange multiplier, canonical search methods, and geometric programming. Throughout the text, examples and practice problems integrate emerging industry technologies to show students how key concepts are applied in the real world. This well-balanced textbook:
* Integrates underlying thermofluid principles, the fundamentals of engineering design, and a variety of optimization methods
* Covers optimization techniques alongside thermofluid system theory
* Provides readers best practices to follow on-the-job when designing thermofluid systems Contains numerous tables, figures, examples, and problem sets
Emphasizing optimization techniques more than any other thermofluid
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system textbook available, Engineering Design and Optimization of Thermofluid Systems is the ideal textbook for upper-level undergraduate and graduate students and instructors in thermal systems design courses, and a valuable reference for professional mechanical engineers and researchers in the field.
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Inhaltsverzeichnis zu „Engineering Design and Optimization of Thermofluid Systems “
Preface xiAcknowledgments xiii
1 Introduction 1
1.1 What Are Design and Optimization of Thermofluid Systems? 1
1.2 Differentiating Engineering from Science 3
1.3 Development, Design, and Analysis 5
1.4 The Design Process 6
1.5 Existing Books on Thermofluid System Design and/or Optimization 9
1.6 Organization of the Book 10
Problems 10
References 12
2 Engineering Economics 14
2.1 Introduction 15
2.2 Worth of Money with Respect to Time 15
2.2.1 Compound Interest and Effective Interest 17
2.2.2 PresentWorth Factor 19
2.3 Money Flow Series 20
2.3.1 Cash Flow Diagram 20
2.3.2 Rate of Return, Benefit-Cost Ratio, and Capital Recovery Factor 25
2.4 Thermo-economics 29
Problems 29
References 30
3 Common Thermofluid Devices 32
3.1 Common Components of Thermofluid Systems 33
3.2 Valves 34
3.2.1 Ball Valves 34
3.2.2 Butterfly Valves 35
3.2.3 Gate Valves 35
3.2.4 Globe Valves 35
3.2.5 Needle Valves 37
3.2.6 Pinch Valves 38
3.2.7 Plug Valves 38
3.2.8 Poppet Valves 39
3.2.9 Saddle Valves 39
3.2.10 Some Comments on Valves 40
3.3 Ducts, Pipes, and Fittings 40
3.3.1 Laminar and Turbulent Flow 40
3.3.2 Entrance to Fully Developed Pipe Flow 42
3.3.3 Friction of Fully-Developed Pipe Flow 44
3.3.4 Head Loss along a Pipe Section 47
3.3.5 Minor Head Loss 50
3.4 Piping Network 52
Problems 54
References 55
4 Heat Exchangers 56
4.1 Effective Exchange of Thermal Energy 57
4.2 Types of Heat Exchangers 59
4.3 Indirect-Contact Heat Exchangers 60
4.3.1 A Single Fluid in a Conduit of Constant Temperature 60
4.3.2 Heat Transfer from a Hot Stream to a Cold Stream
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64
4.3.3 Log Mean Temperature Difference 66
4.3.4 Correction Factor 69
4.4 Comments on Heat Exchanger Selection 71
Problems 73
References 74
5 Equations 75
5.1 Introduction 76
5.1.1 Model Versus Simulation 77
5.1.2 Simulation 79
5.2 Types of Models 80
5.2.1 Analog Models 81
5.2.2 Mathematical Models 84
5.2.3 Numerical Models 84
5.2.4 Physical Models 85
5.3 Forms of Mathematical Models 85
5.4 Curve Fitting 86
5.4.1 Least Error Linear Fits 86
5.4.2 Least Error Polynomial Fits 89
5.4.3 Non-Polynomial into Polynomial Functions 92
5.4.4 Multiple Independent Variables 93
Problems 94
References 95
6 Thermofluid System Simulation 96
6.1 What is System Simulation? 97
6.2 Information-Flow Diagram 98
6.3 Solving a Set of Equations via the Matrix Approach 100
6.4 Sequential versus Simultaneous Calculations 106
6.5 Successive Substitution 106
6.6 Taylor Series Expansion and the Newton-Raphson Method 113
6.6.1 Taylor Series Expansion 113
6.6.2 The Newton-Raphson Method 116
Problems 122
References 124
7 Formulating the Problem for Optimization 125
7.1 Introduction 126
7.2 Objective Function and Constraints 127
7.3 Formulating a Problem to Optimize 128
Problems 139
References 142
8 Calculus Approach 144
8.1 Introduction 145
8.2 Lagrange Multiplier 146
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4.3.3 Log Mean Temperature Difference 66
4.3.4 Correction Factor 69
4.4 Comments on Heat Exchanger Selection 71
Problems 73
References 74
5 Equations 75
5.1 Introduction 76
5.1.1 Model Versus Simulation 77
5.1.2 Simulation 79
5.2 Types of Models 80
5.2.1 Analog Models 81
5.2.2 Mathematical Models 84
5.2.3 Numerical Models 84
5.2.4 Physical Models 85
5.3 Forms of Mathematical Models 85
5.4 Curve Fitting 86
5.4.1 Least Error Linear Fits 86
5.4.2 Least Error Polynomial Fits 89
5.4.3 Non-Polynomial into Polynomial Functions 92
5.4.4 Multiple Independent Variables 93
Problems 94
References 95
6 Thermofluid System Simulation 96
6.1 What is System Simulation? 97
6.2 Information-Flow Diagram 98
6.3 Solving a Set of Equations via the Matrix Approach 100
6.4 Sequential versus Simultaneous Calculations 106
6.5 Successive Substitution 106
6.6 Taylor Series Expansion and the Newton-Raphson Method 113
6.6.1 Taylor Series Expansion 113
6.6.2 The Newton-Raphson Method 116
Problems 122
References 124
7 Formulating the Problem for Optimization 125
7.1 Introduction 126
7.2 Objective Function and Constraints 127
7.3 Formulating a Problem to Optimize 128
Problems 139
References 142
8 Calculus Approach 144
8.1 Introduction 145
8.2 Lagrange Multiplier 146
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Autoren-Porträt von David S. K. Ting
David S.K. Ting is a Professor of Mechanical, Automotive, and Materials Engineering at the University of Windsor, Ontario, Canada. He has taught over a dozen courses at UWindsor and is the founder of its Turbulence and Energy Laboratory. He has co-authored over 140 journal papers, authored 3 textbooks and co-edited 10 volumes, is affiliated with ASHRAE, ASME, and SAE, and was named the 2018 Best Reviewer of the Year by ASME's Heat Transfer Division.
Bibliographische Angaben
- Autor: David S. K. Ting
- 2021, 1. Auflage, 272 Seiten, Maße: 17,7 x 26,3 cm, Gebunden, Englisch
- Verlag: Wiley & Sons
- ISBN-10: 1119701600
- ISBN-13: 9781119701606
Sprache:
Englisch
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