Multidisciplinary Design Optimization Methods for Electrical Machines and Drive Systems (Hardcover, 1st ed. 2016)

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.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Power Systems
Release date:	February 2016
First published:	2016
Authors:	Gang Lei • Jianguo Zhu • Youguang Guo
Dimensions:	235 x 155 x 16mm (L x W x T)
Format:	Hardcover
Pages:	241
Edition:	1st ed. 2016
ISBN-13:	978-3-662-49269-7
Categories:	Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Professional & Technical > Mechanical engineering & materials > Production engineering > General Books > Professional & Technical > Energy technology & engineering > Electrical engineering > Power networks, systems, stations & plants Books > Professional & Technical > Mechanical engineering & materials > Mechanical engineering > Engines & power transmission > General Promotions
LSN:	3-662-49269-5
Barcode:	9783662492697

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