A Review of Thermal Error Modeling Methods for Machine Tools

被引:58
作者
Li, Yang [1 ]
Yu, Maolin [1 ]
Bai, Yinming [1 ]
Hou, Zhaoyang [1 ]
Wu, Wenwu [2 ,3 ]
机构
[1] Xi An Jiao Tong Univ, Sch Mech Engn, Xian 710049, Peoples R China
[2] Xian Univ Technol, Key Lab NC Machine Tools & Integrated Mfg, Educ Minist, Xian 710048, Peoples R China
[3] Xian Univ Technol, Key Lab Mfg Equipment Shaanxi Prov, Xian 710048, Peoples R China
来源
APPLIED SCIENCES-BASEL | 2021年 / 11卷 / 11期
基金
中国国家自然科学基金;
关键词
precision machine tool; machine tool thermal error; thermal error compensation; thermal error modeling method; REAL-TIME COMPENSATION; FEED DRIVE SYSTEM; NEURAL-NETWORK; POSITIONING ERROR; ACCURACY ENHANCEMENT; MOTORIZED SPINDLE; PART II; PREDICTION; IMPROVEMENT;
D O I
10.3390/app11115216
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Thermal error caused by thermal deformation is one of the most significant factors influencing the accuracy of the machine tool. Compensation is a practical and efficient method to reduce the thermal error. Among all the thermal error compensation processes, thermal error modeling is the premise and basis because the effectiveness of the compensation is directly determined by the accuracy and robustness of modeling. In this paper, an overview of the thermal error modeling methods that have been researched and applied in the past ten years is presented. First, the modeling principle and compensation methods of machine tools are introduced. Then, the methods are classified and summarized in detail. Finally, the future research trend of thermal error modeling is forecasted.
引用
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页数:16
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