Multidisciplinary Design Optimization Methods for Electrical Machines and Drive Systems

Nonfiction, Science & Nature, Technology, Machinery, Mathematics, Applied
Cover of the book Multidisciplinary Design Optimization Methods for Electrical Machines and Drive Systems by Gang Lei, Jianguo Zhu, Youguang Guo, Springer Berlin Heidelberg
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Author: Gang Lei, Jianguo Zhu, Youguang Guo ISBN: 9783662492710
Publisher: Springer Berlin Heidelberg Publication: February 5, 2016
Imprint: Springer Language: English
Author: Gang Lei, Jianguo Zhu, Youguang Guo
ISBN: 9783662492710
Publisher: Springer Berlin Heidelberg
Publication: February 5, 2016
Imprint: Springer
Language: English

This book presents various computationally efficient component- and system-level design optimization methods for advanced electrical machines and drive systems. Readers will discover novel design optimization concepts developed by the authors and other researchers in the last decade, including application-oriented, multi-disciplinary, multi-objective, multi-level, deterministic, and robust design optimization methods. A multi-disciplinary analysis includes various aspects of materials, electromagnetics, thermotics, mechanics, power electronics, applied mathematics, manufacturing technology, and quality control and management. This book will benefit both researchers and engineers in the field of motor and drive design and manufacturing, thus enabling the effective development of the high-quality production of innovative, high-performance drive systems for challenging applications, such as green energy systems and electric vehicles.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This book presents various computationally efficient component- and system-level design optimization methods for advanced electrical machines and drive systems. Readers will discover novel design optimization concepts developed by the authors and other researchers in the last decade, including application-oriented, multi-disciplinary, multi-objective, multi-level, deterministic, and robust design optimization methods. A multi-disciplinary analysis includes various aspects of materials, electromagnetics, thermotics, mechanics, power electronics, applied mathematics, manufacturing technology, and quality control and management. This book will benefit both researchers and engineers in the field of motor and drive design and manufacturing, thus enabling the effective development of the high-quality production of innovative, high-performance drive systems for challenging applications, such as green energy systems and electric vehicles.

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