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Geometric error identification and compensation for rotary worktable of gear profile grinding machines based on single-axis motion measurement and actual inverse kinematic model

Authors :
Sibao Wang
Shilong Wang
Changjiu Xia
Kai Xu
Chi Ma
Source :
Mechanism and Machine Theory. 155:104042
Publication Year :
2021
Publisher :
Elsevier BV, 2021.

Abstract

Gear profile grinding accuracy is often restricted by geometric errors of the rotary worktable. This paper proposes a novel approach to improve the geometric accuracy of the worktable based on single-axis motion measurement and the actual inverse kinematic model (IKM). The volumetric error model of gear profile grinding machines is first established based on homogeneous transformation matrices (HTMs) and machine kinematic chains, and the actual IKM based compensation method is then proposed to offset the position-dependent geometric errors (PDGEs) of the worktable. It directly gives explicit analytical expressions of compensated motion commands for efficient compensation. Besides, a novel PDGEs identification approach based on single-axis motion measurement with a double ball bar (DBB) is presented for the worktable. This approach has improved identification accuracy and stronger robustness as the interference error of non-targeted axes is avoided. The influence of the installation errors of the workpiece ball on measurement results and the PDGEs on gear grinding errors were discussed. The experiments verified the effectiveness of the identification approach, and the geometric accuracy tests of the worktable validated the compensation method.

Details

ISSN :
0094114X
Volume :
155
Database :
OpenAIRE
Journal :
Mechanism and Machine Theory
Accession number :
edsair.doi...........ca30948f79fd7b6183c16b29307feed3
Full Text :
https://doi.org/10.1016/j.mechmachtheory.2020.104042