Overview
- Represents the first book on electric spindle technology in intelligent manufacturing
- Highlights a variety of intelligent methods for the application of motorized spindle technology
- Features extensive experimental data on the dynamic performance of motorized spindles, especially ceramic motorized spindles
Part of the book series: Springer Tracts in Mechanical Engineering (STME)
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Table of contents (9 chapters)
Keywords
About this book
In turn, the book presents extensive motorized spindle performance test data and includes detailed examples of how intelligent algorithms can be applied to motor spindle stator resistance identification, temperature field prediction and on-line dynamic balance. In summary, the book provides readers with the latest tools for designing, testing and implementing intelligent motorized spindle systems in terms of the basic theory, technological applications and future prospects, and offers a wealth of practical information for researchers in mechanical engineering, especially in the area of control systems.
Authors and Affiliations
About the authors
Professor Zhang Lixiu is the Head of Liaoning Key Laboratory of CNC Machine Spindle Systems. Her main research direction is the key technology of motorized spindles. With the support of the National Natural Science Foundation of China and the Natural Science Foundation of Liaoning Province of China, she has investigated temperature rise prediction methods in motorized spindles, stator resistance identification of motorized spindles and on-line dynamic balance technology of motorized spindles. Her findings have been published 52 academic papers and 2 monographs. She has been granted 6 national invention patents and 4 software copyrights and won several awards.
Bibliographic Information
Book Title: Intelligent Motorized Spindle Technology
Authors: Yuhou Wu, Lixiu Zhang
Series Title: Springer Tracts in Mechanical Engineering
DOI: https://doi.org/10.1007/978-981-15-3328-0
Publisher: Springer Singapore
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2020
Hardcover ISBN: 978-981-15-3327-3Published: 23 February 2020
Softcover ISBN: 978-981-15-3330-3Published: 23 February 2021
eBook ISBN: 978-981-15-3328-0Published: 22 February 2020
Series ISSN: 2195-9862
Series E-ISSN: 2195-9870
Edition Number: 1
Number of Pages: XIII, 303
Number of Illustrations: 107 b/w illustrations, 121 illustrations in colour
Topics: Robotics and Automation, Computational Intelligence, Engineering Thermodynamics, Heat and Mass Transfer, Mechanical Engineering