Identification of the key thermal points on machine tools by grouping and optimizing variables

作     者：梁睿君 叶文华 罗文 俞辉 杨琪 

作者机构：Jiangsu Key Laboratory of Precision and Micro-Manufacturing TechnologyNanjing University of Aeronautics & Astronautics TONTEC Technology Investment Group Co.Ltd. 

出 版 物：《Journal of Harbin Institute of Technology(New Series)》 (哈尔滨工业大学学报（英文版）)

年 卷 期：2011年第18卷第4期

页      面：87-93页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 08[工学] 0802[工学-机械工程] 080201[工学-机械制造及其自动化] 

基　　金：Sponsored by the Special Fund for Scientific and Technological Achievement Transformation of Jiangsu Province the Basic Scientific Research Professional Expense of NUAA for Special Project 

主　　题：NC machine tools error compensation thermal error key thermal points fitting accuracy 

摘      要：The grouping and optimization approach to identify the key thermal points on machine tools is *** solve the difficulty in grouping because of the high correlated variables from distinct groups,the variables grouping technique is *** variables are sorted according to their relativities with the thermal *** representative temperature variables are determined by analyzing the variable correlation in sort order and removing the other variables in the same *** the diverse effect of importing the different variables on thermal error model,the method of variable combination optimization is *** models made up of different combination of representative temperature variables are evaluated by the index of both the determined coefficient and the average residual squares to select the combination of the temperature *** the machine tools with complicated structures which need more initial temperature measuring points the improvement is *** improved approach is applied to a precision horizontal machining center to identify the key thermal *** results show that the proposed approach is capable of avoiding the high correlation among the different groups variables,effectively reducing the number of the key thermal points without depressing the prediction accuracy of the thermal error model for machine tools.