Description: Multidisciplinary Design Optimization Methods for Electrical Machines and Drive Systems by Jianguo Zhu, Gang Lei, Youguang Guo This book presents various computationally efficient component- andsystem-level design optimization methods for advanced electrical machines anddrive systems. FORMAT Hardcover LANGUAGE English CONDITION Brand New Publisher Description This book presents various computationally efficient component- andsystem-level design optimization methods for advanced electrical machines anddrive systems. Readers will discover novel design optimization conceptsdeveloped by the authors and other researchers in the last decade, includingapplication-oriented, multi-disciplinary, multi-objective, multi-level, deterministic,and robust design optimization methods. A multi-disciplinary analysis includesvarious aspects of materials, electromagnetics, thermotics, mechanics, powerelectronics, applied mathematics, manufacturing technology, and quality controland management. This book will benefit both researchers and engineers in thefield of motor and drive design and manufacturing, thus enabling the effectivedevelopment of the high-quality production of innovative, high-performancedrive systems for challenging applications, such as green energy systems andelectric vehicles. Back Cover This book presents various computationally efficient component- andsystem-level design optimization methods for advanced electrical machines anddrive systems. Readers will discover novel design optimization conceptsdeveloped by the authors and other researchers in the last decade, includingapplication-oriented, multi-disciplinary, multi-objective, multi-level, deterministic,and robust design optimization methods. A multi-disciplinary analysis includesvarious aspects of materials, electromagnetics, thermotics, mechanics, powerelectronics, applied mathematics, manufacturing technology, and quality controland management. This book will benefit both researchers and engineers in thefield of motor and drive design and manufacturing, thus enabling the effectivedevelopment of the high-quality production of innovative, high-performancedrive systems for challenging applications, such as green energy systems andelectric vehicles. Author Biography Gang Lei received the B.S. degree in Mathematics from Huanggang Normal University, China, in 2003, the M.S. degree in Mathematics and Ph.D. degree in Electrical Engineering from Huazhong University of Science and Technology, China, in 2006 and 2009, respectively. He is currently a Chancellors Postdoctoral Research Fellow at School of Electrical, Mechanical and Mechatronic Systems, University of Technology, Sydney (UTS), Sydney, Australia. He is a core member of the Green Energy & Vehicle Innovation Centre (GEVIC) which is one of the Research Strengths at UTS. His current research interests include numerical analysis of electromagnetic field, design and optimization of advanced electrical drive systems for renewable energy systems and applications. Jianguo Zhu received the B.E. from the Jiangsu Institute of Technology, Zhenjiang, China, in 1982, the M.E. from Shanghai University of Technology, Shanghai, China, in 1987, and the Ph.D. from University of Technology Sydney (UTS), Sydney, Australia, in 1995. He is currently a Professor of Electrical Engineering and the Head of the School of Electrical, Mechanical and Mechatronic Systems, UTS. He is the co-director of the Green Energy & Vehicle Innovation Centre (GEVIC) which is one of the Research Strengths at UTS. His research interests include electromagnetics, magnetic properties of materials, electrical machines and drives, power electronics, renewable energy systems, and smart micro-grids. Youguang Guo received the B.E. from Huazhong University of Science and Technology (HUST), Wuhan, China, in 1985, the M.E. from Zhejiang University, Zhejiang, China, in 1988, and the Ph.D. from University of Technology Sydney (UTS), Sydney, Australia in 2004, all in Electrical Engineering. From 1988 to 1998, he lectured in the Department of Electric Power Engineering, HUST. From March 1998 to July 2008, he was a Visiting Research Fellow, Ph.D. candidate, Postdoctoral Fellow, and Research Fellow in the Center for Electrical Machines and Power Electronics, Faculty of Engineering, UTS. He is currently an Associate Professor at the School of Electrical, Mechanical and Mechatronic Systems, UTS. He is a core member of the Green Energy & Vehicle Innovation Centre (GEVIC) which is one of the Research Strengths at UTS. His research fields include measurement and modeling of magnetic properties of magnetic materials, numerical analysis of electromagnetic field, electrical machine design and optimization, power electronic drives and control. Table of Contents Introduction.- Design fundamentals of electrical machines and drive systems.- Optimization methods.- Design optimization methods for electrical machines.- Design optimization methods for electrical drive systems.- Design optimizationfor high quality mass production.- Application-oriented design optimization methods forelectrical machines.- Conclusion and future works. Feature Broadens your understanding of new material and topologystructures for innovative motor and drive system design optimization Shares many tips and insights into Six-Sigma robust designoptimization to achieve high-quality drive systems from an industrialmanufacturing perspective Provides in-depth knowledge of application-oriented,system-level design optimization methods to aim for optimal performance on thesystem rather than component level Details ISBN3662492695 Author Youguang Guo Series Power Systems Language English Year 2016 ISBN-10 3662492695 ISBN-13 9783662492697 Format Hardcover Short Title MULTIDISCIPLINARY DESIGN OPTIM Media Book Imprint Springer-Verlag Berlin and Heidelberg GmbH & Co. K Place of Publication Berlin Country of Publication Germany Pages 241 Edition 1st DOI 10.1007/978-3-662-49271-0 Publisher Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Edition Description 1st ed. 2016 Publication Date 2016-02-16 Alternative 9783662569962 DEWEY 621.3 Audience Professional & Vocational Illustrations 95 Illustrations, color; 56 Illustrations, black and white; XIV, 241 p. 151 illus., 95 illus. in color. We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:98042359;
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ISBN-13: 9783662492697
Book Title: Multidisciplinary Design Optimization Methods for Electrical Mach
Number of Pages: 241 Pages
Language: English
Publication Name: Multidisciplinary Design Optimization Methods for Electrical Machines and Drive Systems
Publisher: Springer-Verlag Berlin and Heidelberg Gmbh & Co. Kg
Publication Year: 2016
Subject: Engineering & Technology
Item Height: 235 mm
Item Weight: 5089 g
Type: Textbook
Author: Gang Lei, Jianguo Zhu, Youguang Guo
Subject Area: Mechanical Engineering, Electrical Engineering
Item Width: 155 mm
Format: Hardcover