Design Optimization of Fluid Machinery
Description
Drawing on extensive research and experience, this timely reference brings together numerical optimization methods for fluid machinery and its key industrial applications. It logically lays out the context required to understand computational fluid dynamics by introducing the basics of fluid mechanics, fluid machines and their components. Readers are then introduced to single and multi-objective optimization methods, automated optimization, surrogate models, and evolutionary algorithms. Finally, design approaches and applications in the areas of pumps, turbines, compressors, and other fluid machinery systems are clearly explained, with special emphasis on renewable energy systems.
* Written by an international team of leading experts in the field
* Brings together optimization methods using computational fluid dynamics for fluid machinery in one handy reference
* Features industrially important applications, with key sections on renewable energy systems
Design Optimization of Fluid Machinery is an essential guide for graduate students, researchers, engineers working in fluid machinery and its optimization methods. It is a comprehensive reference text for advanced students in mechanical engineering and related fields of fluid dynamics and aerospace engineering.
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Persons
Kwang-Yong Kim, Inha University, Republic of Korea.
Abdus Samad, Indian Institute of Technology Madras, India.
Ernesto Benini, University of Padova, Italy.
Content
Preface xiii
1 Introduction 1
1.1 Introduction 1
1.2 Fluid Machinery: Classification and Characteristics 2
1.3 Analysis of Fluid Machinery 4
1.4 Design of Fluid Machinery 7
1.5 Design Optimization of Turbomachinery 9
2 Fluid Mechanics and Computational Fluid Dynamics 11
2.1 Basic Fluid Mechanics 11
2.2 Computational Fluid Dynamics (CFD) 16
3 Optimization Methodology 35
3.1 Introduction 35
3.2 Multi-Objective Optimization (MOO) 41
3.3 Constrained, Unconstrained, and Discrete Optimization 43
3.4 Surrogate Modeling 44
3.5 Error Estimation 49
3.6 Sampling Technique 57
3.7 Optimizers 59
3.8 Multidisciplinary Design Optimization 59
3.9 Inverse Design 60
3.10 Automated Optimization 61
3.11 Conclusions 68
4 Optimization of Industrial Fluid Machinery 71
4.1 Pumps 71
4.2 Compressors and Turbines 98
4.3 Fans 146
4.4 Hydraulic Turbines 192
4.5 Others 226
5 Optimization of Fluid Machinery for Renewable Energy Systems 257
5.1 Wind Energy 257
5.2 Ocean Energy 264
5.3 Energy Extraction from Ocean Waves 266
5.4 Oscillating Water Column (OWC) 267
5.5 Classification of Turbines 269
5.6 Optimization of Air Turbines 272
References 276
Nomenclature 279
Index 287
