An improved robust identification method for position independent geometric errors of the swing axis of the gear grinding machine

被引:0
|
作者
Xu, Kai [1 ]
Li, Zheyu [2 ]
Li, Guolong [2 ]
Du, Liuqing [1 ]
Ji, Jianwei [1 ]
机构
[1] Chongqing Univ Technol, Coll Mech Engn, Chongqing 400054, Peoples R China
[2] Chongqing Univ, Coll Mech & Vehicle Engn, Chongqing 400044, Peoples R China
来源
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY | 2024年 / 135卷 / 9-10期
基金
中国国家自然科学基金;
关键词
Position independent geometric errors; Double ball bar; Robust error identification; Swing axis error; Gear grinding machine; ROTARY AXES; TOOLS; COMPENSATION; ENHANCEMENT; ACCURACY;
D O I
10.1007/s00170-024-14774-3
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Although the double ball bar (DBB) has been widely used in geometric error identification, it shows unstable identification results of the position independent geometric errors (PIGEs) of the rotary axes with complex structures. To solve this problem, this paper proposes an improved robust method of the PIGEs identification with circular trajectory in multiple planes. Based on the definition of axis average line defined in the ISO 230-7, more circular trajectory tests were carried out along the axis line instead of only two circular trajectories in ISO 230-7 and other references, then the axis average line together with PIGEs was finally obtained. As a specific application case, the proposed method was adopted in the PIGEs identification of the swing axis of the gear grinding machine with a relatively complex structure. Eight circular tests were performed, and 4 PIGEs were finally identified. In particular, the relationship between the measurement patterns and the identification accuracy is investigated, further demonstrating the limitations of the existing methods with only 2 circular trajectories used. The experimental results show that the proposed method is a simple but effective improvement to existing PIGEs identification methods using DBB.
引用
收藏
页码:4963 / 4973
页数:11
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