Geometric error identification for machine tools using a novel 1D probe system

Author(s):  
Jianxiong Chen ◽  
Shuwen Lin ◽  
Tianqi Gu
2016 ◽  
Vol 89 (9-12) ◽  
pp. 3393-3405 ◽  
Author(s):  
Jie Li ◽  
Fugui Xie ◽  
Xin-Jun Liu ◽  
Zeyuan Dong ◽  
Zhiyong Song ◽  
...  

2011 ◽  
Vol 338 ◽  
pp. 786-791 ◽  
Author(s):  
Wang Wei Chu ◽  
Shao Wei Zhu ◽  
Yu Peng ◽  
Guo Fu Ding

In NC machining, the precision of the final parts is affected by many factors, including geometric deviation of machine tool components and structures, deformation of process system caused by cutting force and cutting heat, servo delay, tool wear and so on. Among which geometric error of machine tool is one of the most important factors. This study focused on geometric error identification and compensation of rotation axes of five-axis machine tools. A new method was proposed to identify the 6 geometric error parameters of each rotation axes of five-axis machine tools based on a ball-bar system. Regarding the machine tool as a rigid multi-body system (MBS), a geometric error model was established based on homogeneous transfer matrix (HTM). Finally, the geometric errors were compensated by correcting NC codes by the prototype software system developed in this study. An experiment and an application were conducted and the results show that the proposed method is effective to improve the machining accuracy.


2018 ◽  
Vol 221 ◽  
pp. 04001
Author(s):  
Jinwei Fan ◽  
Changjun Wu ◽  
Zhongsheng Li

The paper proposes a novel geometric error identification methodology for the tilting head of five-axis machine tools using double ball bar(DBB).Firstly, based on the motion condition of the tilting head of five-axis machine tools, three measurement patterns in Y direction, X direction and Z direction are proposed respectively. Then, the relative displacement equations of two balls of DBB in three measurement patterns are established respectively on the basis of homogeneous transform matrix (HTM) and multi-body system (MBS) theory. Finally, the geometric error parameters of the tilting head are identified totally. The presented method is universal and provides a reference for the error identification for the tilting head of five-axis machine tools.


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