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《Journal of Shanghai Jiaotong University》 2009-05
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Thermal Error Modeling on Machine Tools Based on Ant Colony Algorithm

GUO Qian-jian~(1,2),YANG Jian-guo~2(1.School of Mechanical Engineering,Shandong University of Technology,Shandong Zibo 255049,China;2.School of Mechanical Engineering,Shanghai Jiaotong University,Shanghai 200030,China)  
A new bionic prediction model was presented based on the generation mechanism of thermal errors affected machine tools,and ant algorithm was used to train the weights of BP neural networks during thermal error modeling.Finally,the model was tested on Y3150K hobbing machine,and the thermal error is reduced to 6 μm.The result shows that the problem of local minimum in BP algorithm is overcome,and the prediction performance and robustness of the model is improved,which makes thermal error compensation more effective.
【CateGory Index】: TG502
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