30.05.2021 | History

1 edition of Design Optimization of Fluid Machinery found in the catalog.

Design Optimization of Fluid Machinery

Applying Computational Fluid Dynamics and Numerical Optimization

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Published by Administrator in Wiley & Sons, Incorporated, John

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    • Wiley & Sons, Incorporated, John


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        StatementWiley & Sons, Incorporated, John
        PublishersWiley & Sons, Incorporated, John
        Classifications
        LC Classifications2019
        The Physical Object
        Paginationxvi, 79 p. :
        Number of Pages74
        ID Numbers
        ISBN 10nodata
        Series
        1nodata
        2
        3

        nodata File Size: 9MB.


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Design Optimization of Fluid Machinery by Wiley & Sons, Incorporated, John Download PDF EPUB FB2


Design Optimization of Fluid Machinery: Applying Computational Fluid Dynamics and Numerical Optimization

2 Error Estimation in Surrogate Modeling 52 3. 6 Direct Numerical Simulation DNS 27 2. Design Optimization of Fluid Machinery: Applying Computational Fluid Dynamics and Numerical Optimization Drawing on extensive research and experience, this timely reference brings together numerical optimization methods for fluid machinery and its key industrial applications.

1 Wind Energy 257 5. 5 Classification of Turbines 269 5. 1 CFD-Based Design Automated Design Optimization for Hydro Turbines 63 3. He is currently an Inha Fellow Professor in the Department of Mechanical Engineering and was a Dean of Engineering College of Inha University, Incheon, Korea.

Design optimization has always been popular in many different areas of engineering, especially it has been considered an important tool in the fluid machinery area in the last couple of decades with recent developments in computing power. 1 Mass Conservation 20 2.

Design Optimization of Fluid Machinery (2019 edition)

1 Wells Turbine 269 5. 2 Design Space 36 3. This book consists mainly of five chapters, where each chapter extensively provides the graduate students, engineers and scientists with a general understanding of surrogate-based design optimization of fluid machinery using the numerical tools for complex fluid flow problems, and it also provides a basis to introduce applications of various design optimization techniques to different types of fluid machinery.

This chapter discusses in details the surrogate-based optimization methods, their error analysis, sensitivity analysis examples and inverse design optimization.