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

  • Shengyu Shi
  • Jing Lin
  • Xiaoqiang Xu
  • Xiaobing Feng
  • Samanta Piano
ORIGINAL ARTICLE

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.

Keywords

CNC machine tools Machining error Maintenance Mechanical chain accuracy Lead error Backlash 

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Notes

Acknowledgments

This research is supported by the National Natural Science Foundation of China (Grant nos. 51405373 and 51421004), which are highly appreciated by the authors. The authors wish to acknowledge Prof. Gang Jin at South China University of Technology for his comments and suggestions that improved this work.

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Copyright information

© Springer-Verlag London Ltd. 2017

Authors and Affiliations

  • Shengyu Shi
    • 1
    • 2
  • Jing Lin
    • 3
  • Xiaoqiang Xu
    • 1
  • Xiaobing Feng
    • 2
  • Samanta Piano
    • 2
  1. 1.Shaanxi Key Laboratory of Mechanical Product Quality Assurance and Diagnostics, School of Mechanical EngineeringXi’an Jiaotong UniversityXi’anPeople’s Republic of China
  2. 2.Manufacturing Metrology Team, Faculty of EngineeringUniversity of NottinghamNottinghamUK
  3. 3.State Key Laboratory for Manufacturing Systems EngineeringXi’an Jiaotong UniversityXi’anPeople’s Republic of China

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