Geometric error modeling and sensitivity analysis of a five-axis machine tool

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• 作者：Jie Li ; Fugui Xie ; Xin-Jun Liu
• 关键词：Five ; axis machine tool ; Error modeling ; Sensitivity analysis ; Error compensation ; Precision design
• 刊名：The International Journal of Advanced Manufacturing Technology
• 出版年：2016
• 出版时间：February 2016
• 年：2016
• 卷：82
• 期：9-12
• 页码：2037-2051
• 全文大小：1,744 KB
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• 作者单位：Jie Li (1)
  Fugui Xie (1)
  Xin-Jun Liu (1) (2)
  
  1. State Key Laboratory of Tribology & Institute of Manufacturing Engineering, Department of Mechanical Engineering, Tsinghua University, Room 1502, Building 9003, Beijing, 100084, People’s Republic of China
  2. Beijing Key Lab of Precision/Ultra-precision Manufacturing Equipments and Control, Tsinghua University, Beijing, 100084, People’s Republic of China
  
• 刊物类别：Engineering
• 刊物主题：Industrial and Production Engineering
  Production and Logistics
  Mechanical Engineering
  Computer-Aided Engineering and Design
  
• 出版者：Springer London
• ISSN：1433-3015

文摘

It is widely acknowledged that precision design and error compensation are two basic methods to achieve high geometrical accuracy for machine tools. And for these two methods, error modeling and sensitivity analysis are key issues. In this paper, an error modeling method based on multi-body system (MBS) is used to construct the error mapping between error sources and the cutting tool pose error for a five-axis machine tool. According to the error mapping, the traditional definitions of local sensitivity indices (LSIs) and global sensitivity indices (GSIs) are introduced. Based on the LSIs and GSIs, the general local sensitivity indices (GLSIs), general global sensitivity indices (GGSIs), and general global sensitivity fluctuation indices (GGSFIs) are proposed. By using these new indices, error sensitivity analysis of the five-axis machine tool is conducted. According to the error sensitivity analysis results, the precision design of angular error components is conducted in numerical simulation. The results show that by using the proposed sensitivity analysis method, we can improve less error components but get more improvement for the cutting tool accuracy. It indicates that the proposed sensitivity indices and sensitivity analysis method are very effective and meaningful. The proposed sensitivity indices and sensitivity analysis method can also be used in the precision design and error compensation for other machine tools. Keywords Five-axis machine tool Error modeling Sensitivity analysis Error compensation Precision design