Table of contents
About this book
This book presents the latest information on the intelligent CNC machine tool spindle system, which integrates various disciplines such as mechanical engineering, control engineering, computer science and information technology. It describes a prediction method and model for temperature rise and thermal deformation in motorized spindles and proposes an intelligent stator resistance identification method to reduce the torque ripple of motorized spindles under direct torque control. Further, it discusses the on-line dynamic balance method for NC machine tool spindles. The biogeographic optimization algorithm and hybrid intelligent algorithm presented here were first applied in the field of motorized spindle performance control.
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.
Motorized Spindle Intelligent Thermal Deformation Dynamic Balance Ceramic
- DOI https://doi.org/10.1007/978-981-15-3328-0
- Copyright Information Springer Nature Singapore Pte Ltd. 2020
- Publisher Name Springer, Singapore
- eBook Packages Intelligent Technologies and Robotics
- Print ISBN 978-981-15-3327-3
- Online ISBN 978-981-15-3328-0
- Series Print ISSN 2195-9862
- Series Online ISSN 2195-9870
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