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《Journal of Shanghai Jiaotong University》 2006-12
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The Application of Hybrid Prediction Model to Thermal Error Modeling on NC Machine Tools

LI Yong-xiang,YANG Jian-guo,GUO Qian-jian,WANG Xiu-shan,SHEN Jin-hua(School of Mechanical Eng.,Shanghai Jiaotong Univ.,Shanghai 200240,China)  
Based on the generation mechanism and anfractuosity of machine tool thermal errors,a new(hybrid) prediction model,synthesizing the advantages of time series analysis and grey system theory,was(applied) to the trend prediction of thermal errors in a spot NC turning center.The testing results show that the prediction performance of hybrid prediction model outperforms any one of the two single prediction methods.The prediction precision of the hybrid prediction model for machine tool thermal errors was the highest among three kinds of prediction models.Therefore,hybrid prediction model can highly improve(machine) tool's processing precision and make it more effective for real-time compensation of NC thermal error.
【Fund】: 高等学校全国优秀博士学位论文作者专项基金资助项目(200131)
【CateGory Index】: TG659;TH161
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