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Neuro-Fuzzy and Regression Techniques for CNC Thermal Error Compensation
2000This paper examines the capabilities of Neuro-Fuzzy and Regression techniques for compensating thermally induced errors on Computer Numeric Control (CNC) machine tools.
W. Dixon +3 more
openaire +1 more source
DISPLACEMENT AND THERMAL ERROR COMPENSATION USING RBF NETWORKS
Control and Intelligent Systems, 2014Rui Yang +4 more
openaire +1 more source
Thermal Error Modeling and Compensation for CY-K500 Lathe
Advanced Science Letters, 2011Qianjian Guo +2 more
openaire +1 more source
A review on spindle thermal error compensation in machine tools
International Journal of Machine Tools and Manufacture, 2015Yang Li, Wanhua Zhao, Wenwu Wu
exaly
Statistical optimization and assessment of a thermal error model for CNC machine tools
International Journal of Machine Tools and Manufacture, 2002Seung-Han Yang
exaly
Error compensation in machine tools — a review
International Journal of Machine Tools and Manufacture, 2000R Ramesh
exaly
Spindle thermal error prediction approach based on thermal infrared images: A deep learning method
Journal of Manufacturing Systems, 2021exaly
Modeling and compensation for spindle's radial thermal drift error on a vertical machining center
International Journal of Machine Tools and Manufacture, 2016Kuo Liu
exaly

