Robustness of Thermal Error Compensation Model of CNC Machine Tool
Thermal error is the major factor in restricting the accuracy of CNC machining.The modeling accuracy is the key of thermal error compensation which can achieve precision machining of CNC machine tool.The traditional thermal error compensation models mostly focus on the fitting accuracy without considering the robustness of the models,it makes the research results into practice is difficult.In this paper,the experiment of model robustness is done in different spinde speeds of leaderway V-450 machine tool.Combining fuzzy clustering and grey relevance selects temperature-sensitive points of thermal error.Using multiple linear regression model (MLR) and distributed lag model (DL) establishes model of the multi-batch experimental data and then gives robustness analysis,demonstrates the difference between fitting precision and prediction precision in engineering application,and provides a reference method to choose thermal error compensation model of CNC machine tool in the practical engineering application.
CNC machine tool Thermal error Multiple linear regression model Distributed lag model Robustness
Xianli Lang Enming Miao Yayun Gong Pengcheng Niu Zhishang Xu
School of Instrument Science and Opto-electronics Engineering, HeFei University of Technology,Hefei, 230009, China
国际会议
2012第八届精密工程测量和仪器仪表国际研讨会(ISPEMI2012)
成都
英文
1-7
2012-08-08（万方平台首次上网日期，不代表论文的发表时间）