Manufacturing-error-based maintenance for high-precision machine tools

Shi, Shengyu; Lin, Jing; Xu, Xiaoqiang; Feng, Xiaobing; Piano, Samanta

Abstract

Nowadays, the condition-based maintenance (CBM), in which repairs are triggered by the heuristic symptoms of the component faults, is finding increasing applications in the industrial fields. However, for the high-precision machine tools, the conventional CBM might not be the optimal option, which is uneconomic and incapable of ensuring their machining accuracy. In order to overcome these shortcomings, this paper propose the manufacturing-error-based maintenance (MEBM), where the repairs are initiated based on the manufacturing errors instead of the heuristic symptoms. In MEBM, repairs are taken properly at the occurrence of the excessive machining errors, and therefore, the premature and redundant maintenance can be avoided and the maintenance cost can be minimized; what is more, the machining errors are controlled in the closed loops, and therefore, the machining accuracy can be guaranteed. Based on the principles of the MEBM, a prototype maintenance system—the transient backlash error (TBE)-based maintenance system—is established. To achieve this aim, first, the width of the backlash in the mechanical chain is measured by utilizing the built-in encoders and the analytical mapping relationship between the backlash width and the TBE is derived. Relying on these foundations, the TBE can be indirectly estimated. Then, the warning threshold of the TBE is customized according to the permissible roundness error of the workpiece. Thus, the maintenance actions can be precisely implemented: when the monitored TBE exceeds its warning threshold, maintenance workers will be notified to lessen the backlash width, and meanwhile, the permissible maximal size for the backlash will also be informed.

Citation

Shi, S., Lin, J., Xu, X., Feng, X., & Piano, S. (2018). Manufacturing-error-based maintenance for high-precision machine tools. International Journal of Advanced Manufacturing Technology, 95(1-4), https://doi.org/10.1007/s00170-017-1070-y

• Journal Article Type: Article
• Acceptance Date: Sep 11, 2017
• Online Publication Date: Oct 16, 2017
• Publication Date: Mar 1, 2018
• Deposit Date: Mar 12, 2018
• Publicly Available Date: Oct 17, 2018
• Journal: International Journal of Advanced Manufacturing Technology
• Electronic ISSN: 0268-3768
• Publisher: Springer Verlag
• Peer Reviewed: Peer Reviewed
• Volume: 95
• Issue: 1-4
• DOI: https://doi.org/10.1007/s00170-017-1070-y
• Public URL: https://nottingham-repository.worktribe.com/output/918473
• Publisher URL: https://link.springer.com/article/10.1007/s00170-017-1070-y