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Journal of Failure Analysis and Prevention

, Volume 13, Issue 2, pp 207–216 | Cite as

Failure Mode Effects and Criticality Analysis (FMECA) of Circular Tool Magazine and ATC

  • Xiaohong Lu
  • Zhenyuan Jia
  • Shengnan Gao
  • Pengzhuo Han
Technical Article---Peer-Reviewed

Abstract

Tool magazine and automatic tool changer (ATC) are two of the most important key functional units of the tool reserving and exchanging in machining center, reliability of which directly influences that of the machining centers. Failure analysis is the basic work in reliability analysis. So far, there is little in-depth and meticulous study about failure of the tool magazine and ATC, but there are many problems in the use of tool magazine and ATC. Based on the failure data received from field tracing tests, the failure modes, effects, and criticality analysis of the studied circular tool magazine and ATC are evaluated. The failure positions, causes, and criticalities in circular tool magazine and ATC, which have the highest criticality parameters are explored, offering the basis for the improvement in the design of the new products.

Keywords

Circular tool magazine and ATC Failure mode Failure effects Failure criticality 

Notes

Acknowledgments

The research is supported by the high-grade CNC machine tool and the basic equipment manufacturing industry under Major Science and Technology project (No. 2011ZX04011-022), and Dalian Science and Technology project (No. 2010A16GX091).

References

  1. 1.
    Cao, J., Cheng, K.: Introduction to Reliability Mathematics. High Education Press, Beijing (2006) (in Chinese)Google Scholar
  2. 2.
    Hengru, M.: Current status and development of reliability engineering in China defense science and technology industry. Aeroengine, no. 3, pp. 1–4 (2006) (in Chinese)Google Scholar
  3. 3.
    Fleischer, J., Schopp, M.: Sustainable machine tool reliability based on condition diagnosis and prognosis. In: Advance in Life Cycle Engineering for Sustainable Manufacturing Business—Proceedings of the 14th CIRP Conference on Life Cycle Engineering, Waseda, pp. 323–328 (2007)Google Scholar
  4. 4.
    Lanza, G., Werner, P., Appel, D., Behmann, B.: Increased trustability of reliability prognoses for machine tools. In: Glocalized Solutions for Sustainability in Manufacturing—Proceedings of the 18th CIRP International Conference on Life Cycle Engineering, Braunschweig, pp. 225–228 (2011)Google Scholar
  5. 5.
    Fleming, P.V., Kara-Zaitri, C., Keller, A.Z.: Application of fuzzy reasoning to failure mode and effect analysis. In: Symposium on the Society of Reliability Engineers, no. 2, p. 288 (1991)Google Scholar
  6. 6.
    Keller, A.Z., Beng, C., Kara-Zaitri, C.: Further applications of fuzzy logic to reliability assessment and safety analysis. In: Reliability in Electronics-elected, Proceedings of the Seventh Symposium on Reliability in Electronics (Electronic’ 88), 29 Aug–2 Sep 1988, Budapest (1988)Google Scholar
  7. 7.
    Mazzola, M., Merlo, A.: Analysis of machine tool failures using advanced reliability models for complex repairable systems. In: Proc. ASME Int. Mech. Eng. Congress Exposition, vol. 16, pp. 163–171 (2009)Google Scholar
  8. 8.
    Li, H., Zhang, B., Yang, X.: A fault diagnosis method for CNC machine. Mach. Tool Hydraul., pp. 221–225 (2006) (in Chinese)Google Scholar

Copyright information

© ASM International 2013

Authors and Affiliations

  • Xiaohong Lu
    • 1
  • Zhenyuan Jia
    • 1
  • Shengnan Gao
    • 1
  • Pengzhuo Han
    • 1
  1. 1.Key Laboratory for Precision and Non-traditional Machining Technology of Ministry of EducationDalian University of TechnologyDalianChina

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