Prediction of Machine Tool Thermal Error Compensation Based on SVMR and ARM11
2015; Trans Tech Publications; Volume: 740; Linguagem: Inglês
10.4028/www.scientific.net/amm.740.120
ISSN2297-8941
AutoresZhi Peng Zhang, Kang Liu, Feng Guo,
Tópico(s)Surface Roughness and Optical Measurements
ResumoIn order to improve the process precision of the machine tool, further development of SVMR was achieved by QT Creator. Support vector machine was applied to the ARM11 development board, SVMR model was online trained and real-time predicted the values of machine tool thermal error. Compared with the widely used BP neural network, this method has the characteristics of high compensation precision and strong generalization ability. Experiment research has proved that the stronger effectiveness and higher accuracy using this method.
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