大葉大學圖書館 |

Multidisciplinary design optimization methods for electrical machines and drive systems[electronic resource] /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	621.31042
書名/作者:	Multidisciplinary design optimization methods for electrical machines and drive systems/ by Gang Lei, Jianguo Zhu, Youguang Guo.
作者:	Lei, Gang.
其他作者:	Zhu, Jianguo.
出版者:	Berlin, Heidelberg : : Springer Berlin Heidelberg :, 2016.
面頁冊數:	xiv, 241 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Electric machinery.
標題:	Electric driving.
標題:	Engineering.
標題:	Power Electronics, Electrical Machines and Networks.
標題:	Machinery and Machine Elements.
標題:	Appl.Mathematics/Computational Methods of Engineering.
標題:	Industrial and Production Engineering.
ISBN:	9783662492710
ISBN:	9783662492697
內容註:	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 optimization for high quality mass production -- Application-oriented design optimization methods for electrical machines -- Conclusion and future works.
摘要、提要註:	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.
電子資源:	http://dx.doi.org/10.1007/978-3-662-49271-0

Multidisciplinary design optimization methods for electrical machines and drive systems[electronic resource] /
Lei, Gang.

Multidisciplinary design optimization methods for electrical machines and drive systems[electronic resource] /by Gang Lei, Jianguo Zhu, Youguang Guo. - Berlin, Heidelberg :Springer Berlin Heidelberg :2016. - xiv, 241 p. :ill., digital ;24 cm. - Power systems,1612-1287. - Power systems..

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 optimization for high quality mass production -- Application-oriented design optimization methods for electrical machines -- Conclusion and future works.

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.

ISBN: 9783662492710

Standard No.: 10.1007/978-3-662-49271-0doiSubjects--Topical Terms:

418329
Electric machinery.

LC Class. No.: TK2081

Dewey Class. No.: 621.31042

Multidisciplinary design optimization methods for electrical machines and drive systems[electronic resource] /
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