Ensemble Model for Spindle Thermal Displacement Prediction of Machine Tools
Ping-Huan Kuo, Ssu-Chi Chen, Chia-Ho Lee, Po-Chien Luan, Her-Terng Yau
CMES-Computer Modeling in Engineering & Sciences, Vol.137, No.1, pp. 319-343, 2023, DOI:10.32604/cmes.2023.026860
（This article belongs to this Special Issue:
Computational Mechanics Assisted Modern Urban Planning and Infrastructure)
Abstract Numerous factors affect the increased temperature of a machine tool, including prolonged and high-intensity usage, tool-workpiece interaction, mechanical friction, and elevated ambient temperatures, among others. Consequently, spindle thermal displacement occurs, and machining precision suffers. To prevent the errors caused by the temperature rise of the Spindle from affecting the accuracy during the machining process, typically, the factory will warm up the machine before the manufacturing process. However, if there is no way to understand the tool spindle's thermal deformation, the machining quality will be greatly affected. In order to solve the above problem, this study aims to predict the thermal…
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