Thermal Error Robust Modeling for High-speed Motorized Spindle

摘要：

　　To improve the manufacturing accuracy of NC machine tool,the thermal error model based on multivariate autoregressive method for a motorized high speed spindle is developed.The proposed model takes into account influences of the previous temperature rise and thermal deformation (input variables) on the thermal error (output variables).The linear trends of observed series are eliminated by the first difference.The order of multivariate autoregressive (MVAR) model is selected by using Akaike information criterion.The coefficients of the MVAR model are determined by the least square method.The established MVAR model is then used to forecast the thermal error and the experimental results have shown the validity and robustness of this model.

关键词： thermal error multivariate autoregressive model motorized spindle robustness

作者: Chunli Lei Zhiyuan Rui Jun Liu Lina Ren

作者单位: Key Laboratory of Digital Manufacturing Technology and Application,The Ministry of Education,Lanzhou University of Technology;School of Mechanical &Electronic Engineering,Lanzhou University of Technology,Lanzhou 730050,China

会议类型: 国际会议

会议名称: 2012 International Conference on Intelligent System and Applied Material(2012智能系统与应用材料国际会议)(GSAM2012)

会议地点: 太原

会议语种:英文

页码: 961-965

在线出版日期: 2012-01-13（万方平台首次上网日期，不代表论文的发表时间）