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Research on Early Failure Elimination Technology of NC Machine Tools

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Recent Advances in Intelligent Manufacturing (ICSEE 2018, IMIOT 2018)

Abstract

The frequent occurrence of early failure has long been restricting the corrective of the reliability of domestic numerical control (NC) machine tools. At present, there is a lack of a systematic and effective method to eliminate the early failure of machine tools. The difficulty in eliminating the early failure of the machine tools lies in how to calculate its early failure period accurately and design the failure closed-loop elimination program properly. So, a 4-parameter non-homogeneous Poisson process (NHPP) modeling method and a closed-loop elimination system for the early failure of the machine tools were proposed to solve those problems in this paper. The method proposed in this paper is applied to the enterprise, and its feasibility is verified. The research of this paper lays a foundation for the elimination of the early failure and the improvement of the reliability level of the domestic NC machine tools.

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References

  1. Wang, Y., Jia, Y., Jiang, W.: Early failure analysis of maching centers: a case study. Reliab. Eng. Syst. Saf. 72, 91–97 (2001)

    Article  Google Scholar 

  2. Jia, Z., Shen, G., Hu, Z., et al.: Lifetime distribution model and control for CNC lathes based on life cycle. Mach. Tool Hydraul. 36, 164–167 (2008)

    Google Scholar 

  3. Zhang, P.: Reliability Analysis of CNC Machine Tool Main Drive System Based on Functional Hazard Analysis. Lanzhou University, Lanzhou (2010)

    Google Scholar 

  4. GJB841-1990: Failure Reporting, Analysis and Corrective Action Systems (1990)

    Google Scholar 

  5. Liao, X.: Quantitative Modeling & Application Study of Failure Rate Bathtub Curve of Machine Tool. Chongqing University, Chongqing (2010)

    Google Scholar 

  6. Chen, D., Wang, T.M., Wei, H.X.: Sectional model involving two Weibull distributions for CNC lathe failure probability. J. Beijing Univ. Aeronaut. Astronaut. 31(7), 766–769 (2005)

    Google Scholar 

  7. Xu, B., Yang, Z.J., Chen, F., et al.: Reliability model of CNC machine tools based on non-homogenous Poisson process. J. Jilin Univ. (Eng. Technol. Edition) 41(2), 210–214 (2011)

    Google Scholar 

  8. Wei, L.: Coupling Modeling and Influence Analysis for Availability of Numerical Control Machine Tools. Jilin University, Jilin (2011)

    Google Scholar 

  9. Huang, X.: Reliability Engineering. Tsinghua University Press, Beijing (1990)

    Google Scholar 

  10. Zhang, Z.: Reliability-Centric Quality Design, Analysis and Control. Publishing House of Electronics Industry, Beijing (2010)

    Google Scholar 

  11. Ren, L., Rui, Z., Li, J.: Reliability Analysis of numerical control machine tools with bounded and bathtub shaped failure intensity. Chin. J. Mech. Eng. 50(16), 13–20 (2014)

    Article  Google Scholar 

  12. Guida, M., Pulcini, G.: Reliability analysis of mechanical systems with bounded and bathtub shaped intensity function. IEEE Trans. Reliab. 58(3), 432–443 (2009)

    Article  Google Scholar 

  13. Zhang, G., Zhang, K., Wang, Y., et al.: Research on intensity function bathtub curve model for multiple CNC machine tools. Mech. Sci. Technol. Aerosp. Eng. 35(1), 104–108 (2016)

    Google Scholar 

  14. Xu, Z.: Research on Reliability Technology of Machining Center and Its Functional Units. Chongqing University, Chongqing (2011)

    Google Scholar 

  15. Wang, H.: Design and Implementation of KN Failure Reporting, Analysis and Corrective Action System. University of Electronic Science and Technology of China, Chengdu (2014)

    Google Scholar 

  16. Shu, J., Guo, B., Zhang, J., et al.: Research on probability distribution of parameters of rock and soil based on fitting optimization index. J. Min. Saf. Eng. 2(25), 197–201 (2008)

    Google Scholar 

Download references

Acknowledgments

This work was supported by the National Nature Science Foundation of China (No. 51705048), the National Major Scientific and Technological Special Project for “High-grade CNC Basic Manufacturing Equipment” of China (No. 2016ZX04004-005), and the Fundamental Research Funds for the Central Universities of China (No. 106112017CDJXY110006).

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Correspondence to Yulong Li .

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Li, Y., Zhang, G., Wang, Y., Zhang, X., Ran, Y. (2018). Research on Early Failure Elimination Technology of NC Machine Tools. In: Wang, S., Price, M., Lim, M., Jin, Y., Luo, Y., Chen, R. (eds) Recent Advances in Intelligent Manufacturing . ICSEE IMIOT 2018 2018. Communications in Computer and Information Science, vol 923. Springer, Singapore. https://doi.org/10.1007/978-981-13-2396-6_35

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  • DOI: https://doi.org/10.1007/978-981-13-2396-6_35

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-2395-9

  • Online ISBN: 978-981-13-2396-6

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