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

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 i...

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Main Authors: Shi, Shengyu, Lin, Jing, Xu, Xiaoqiang, Feng, Xiaobing, Piano, Samanta
Format: Article
Language:English
English
Published: Springer 2018
Online Access:https://eprints.nottingham.ac.uk/50366/
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author Shi, Shengyu
Lin, Jing
Xu, Xiaoqiang
Feng, Xiaobing
Piano, Samanta
author_facet Shi, Shengyu
Lin, Jing
Xu, Xiaoqiang
Feng, Xiaobing
Piano, Samanta
author_sort Shi, Shengyu
building Nottingham Research Data Repository
collection Online Access
description 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.
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spelling nottingham-503662018-10-16T04:30:30Z https://eprints.nottingham.ac.uk/50366/ Manufacturing-error-based maintenance for high-precision machine tools Shi, Shengyu Lin, Jing Xu, Xiaoqiang Feng, Xiaobing Piano, Samanta 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. Springer 2018-03-01 Article PeerReviewed application/pdf en https://eprints.nottingham.ac.uk/50366/8/Manuscript.pdf application/pdf en https://eprints.nottingham.ac.uk/50366/1/s00170-017-1070-y.pdf Shi, Shengyu, Lin, Jing, Xu, Xiaoqiang, Feng, Xiaobing and Piano, Samanta (2018) Manufacturing-error-based maintenance for high-precision machine tools. International Journal of Advanced Manufacturing Technology, 95 (1-4). pp. 205-217. ISSN 0268-3768 https://link.springer.com/article/10.1007/s00170-017-1070-y doi:10.1007/s00170-017-1070-y doi:10.1007/s00170-017-1070-y
spellingShingle Shi, Shengyu
Lin, Jing
Xu, Xiaoqiang
Feng, Xiaobing
Piano, Samanta
Manufacturing-error-based maintenance for high-precision machine tools
title Manufacturing-error-based maintenance for high-precision machine tools
title_full Manufacturing-error-based maintenance for high-precision machine tools
title_fullStr Manufacturing-error-based maintenance for high-precision machine tools
title_full_unstemmed Manufacturing-error-based maintenance for high-precision machine tools
title_short Manufacturing-error-based maintenance for high-precision machine tools
title_sort manufacturing-error-based maintenance for high-precision machine tools
url https://eprints.nottingham.ac.uk/50366/
https://eprints.nottingham.ac.uk/50366/
https://eprints.nottingham.ac.uk/50366/