A thermal deformation estimation method for high precision machine tool spindles based on the convolutional neural network
Author:
Publisher
Springer Science and Business Media LLC
Subject
Mechanical Engineering,Mechanics of Materials
Link
https://link.springer.com/content/pdf/10.1007/s12206-023-0539-x.pdf
Reference24 articles.
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3. S. R. Postlethwaite, J. P. Allen and D. G. Ford, The use of thermal imaging, temperature and distortion models for machine tool thermal error reduction, Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 212(8) (1998) 671–679.
4. T. J. Ko, T. W. Gim and J. Y. Ha, Particular behavior of spindle thermal deformation by thermal bending, Int. J. Mach. Tools Manuf., 43(1) (2003) 17–23.
5. L. Sun, M. Ren, H. Hong and Y. Yin, Thermal error reduction based on thermodynamics structure optimization method for an ultra-precision machine tool, Int. J. Adv Manuf. Technol., 88 (2017) 1267–1277.
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