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Rigid-flexible coupling virtual prototyping-based approach to the failure mode, effects, and criticality analysis

  • Bin He
  • Haojun Xue
  • Lilan LiuEmail author
  • Qijun Pan
  • Wen Tang
  • Egon Ostrosi
ORIGINAL ARTICLE
  • 52 Downloads

Abstract

The reliability analysis is a quantification of the sources of failures in a product, with emphasis on the most significant contributors towards the overall product unreliability. As the reliability analysis of complex products is very crucial for analyzing the behavior of the products, many researches have been focused on it in recent decades with a result of many valuable contributions. However, current researches always focus on rigid product, while the product is always a rigid-flexible coupling multibody system, which could affect the accuracy of reliability analysis. This paper is devoted to virtual prototyping-based approach to a fuzzy Failure Mode, Effects, and Criticality Analysis (FMECA) with the consideration of rigid-flexible coupling virtual prototyping model. This paper discussed proposed approach in detail with three steps: the traditional FMECA method, the fuzzy FMECA method, and the rigid-flexible coupling-based analysis for FEMCA. The cold heading machine is given as an example which demonstrates that the methodology is helpful to reliability analysis. The physical prototyping is also carried out to demonstrate the product reliability.

Keywords

Failure Mode, Effects and Criticality Analysis Virtual prototyping Rigid-flexible coupling Reliability analysis 

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Notes

Funding

The work was supported by the National Natural Science Foundation of China (No. 51675319).

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Copyright information

© Springer-Verlag London Ltd., part of Springer Nature 2018

Authors and Affiliations

  • Bin He
    • 1
  • Haojun Xue
    • 1
  • Lilan Liu
    • 1
    Email author
  • Qijun Pan
    • 1
  • Wen Tang
    • 1
  • Egon Ostrosi
    • 2
  1. 1.Shanghai Key Laboratory of Intelligent Manufacturing and Robotics, School of Mechatronic Engineering and AutomationShanghai UniversityShanghaiPeople’s Republic of China
  2. 2.Laboratoire IRTES-M3MUniversité de Technologie de Belfort-MontbéliardSevenansFrance

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