Abstract
Optimization of thermal sensors’ placement on machine tools based on grey correlation model of grey system theory is studied. After optimization, the temperature variables in the thermal error’ model are reduced from 16 to 4. It greatly reduces the time for variable searching and modelling and meanwhile it eliminates the coupling problems among temperature variables, so the robustness of the model could be increased and the predicting precision of the model is enhanced. Consequently, the real-time error compensation would be more effective and convenient.
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Li, Y.X., Yang, J.G., Gelvis, T. et al. Optimization of measuring points for machine tool thermal error based on grey system theory. Int J Adv Manuf Technol 35, 745–750 (2008). https://doi.org/10.1007/s00170-006-0751-8
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DOI: https://doi.org/10.1007/s00170-006-0751-8