Intelligent motorized spindle technology

• 作者： Wu, Yuhou, author.
• 其他作者：
  • Zhang, Lixiu, author.
  • SpringerLink (Online service)
• 其他題名：
  • Springer tracts in mechanical engineering.
• 出版： Singapore : Springer Singapore :Imprint: Springer
• 叢書名： Springer tracts in mechanical engineering,
• 主題： Spindles (Machine-tools)--Technological innovations. , Robotics and Automation. , Computational Intelligence. , Engineering Thermodynamics, Heat and Mass Transfer. , Mechanical Engineering.
• ISBN： 9789811533280 (electronic bk.) 、 9789811533273 (paper)
• FIND@SFXID: CGU
• 資料類型: 電子書
• 內容註: Key technology and performance of motorized spindle -- Motorized spindle drive mode and its basic theory -- Heat generation and transfer of motorized spindles -- Basic theory and method of spindle dynamic balance -- Intelligent identification technology of stator resistance of motorized spindle motor -- Thermal performance prediction of Motorized spindle -- Automatic suppression of motorized spindle vibration -- Motorized spindle fault diagnosis technology based on deep learning -- Development of intelligent ceramic motorized spindle.
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• 摘要註: 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.
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