| 书目名称 | Multidisciplinary Design Optimization Methods for Electrical Machines and Drive Systems | | 编辑 | Gang Lei,Jianguo Zhu,Youguang Guo | | 视频video | http://file.papertrans.cn/641/640350/640350.mp4 | | 概述 | Broadens your understanding of new material and topology.structures for innovative motor and drive system design optimization.Shares many tips and insights into Six-Sigma robust design.optimization to | | 丛书名称 | Power Systems | | 图书封面 |  | | 描述 | .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.. | | 出版日期 | Book 2016 | | 关键词 | Application Oriented Design Optimization; Design for Six Sigma; Drive Systems; Electrical Machines; Manu | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-662-49271-0 | | isbn_softcover | 978-3-662-56996-2 | | isbn_ebook | 978-3-662-49271-0Series ISSN 1612-1287 Series E-ISSN 1860-4676 | | issn_series | 1612-1287 | | copyright | Springer-Verlag Berlin Heidelberg 2016 |
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