Thermal Error Modeling of Machine Tools Based on M-RAN
Thermal error in machine tools is one of the most significant causes of machining errors. This paper presents a new modeling method for machine tool error. Minimal-resource allocating networks (M-RAN) are used to establish the relationships between the temperature variables and thermal errors. Pt-100 thermal resistances and eddy current sensors are used to measure the temperature variables and the thermal errors respectively. A machining center is used to experiment. The test results show that method with minimal-resource allocating networks can predict the thermal errors of the machine accurately.
Dongye Sun, Wen-Pei Sung and Ran Chen
J. Han et al., "Thermal Error Modeling of Machine Tools Based on M-RAN", Applied Mechanics and Materials, Vols. 121-126, pp. 529-533, 2012