Implementation of Machinery Failure Mode and Effect Analysis for CNC Machines in Valve Manufacturing Industry

Authors

  • Raj Kumar Salvi PG Scholar, Department of Mechanical Engineering, College of Technology and Engineering, Udaipur, Rajasthan, India
  • Chitranjan Agarwal Assistant Professor, Department of Mechanical Engineering, College of Technology and Engineering, Maharana Pratap University of Agriculture and Technology, Udaipur, Rajasthan
  • B. P. Nandawana Professor, Department of Mechanical Engineering, College of Technology and Engineering, Maharana Pratap University of Agriculture and Technology, Udaipur, Rajasthan
  • M. A. Saloda Associate Professor, Department of Mechanical Engineering, College of Technology and Engineering, Maharana Pratap University of Agriculture and Technology, Udaipur, Rajasthan

Abstract

Failure Mode and Effects Analysis (FMEA) is a pro-active quality tool for evaluating potential failure modes and their reasons. It helps to prioritization of the failure modes and to corrective measures for the avoidance of cataclysmic failures and improvement of the quality. In this paper, an attempt has been made to implement machinery FMEA in valves manufacturing unit of GG Valves, Udaipur, Rajasthan, India. The failure modes and their causes identifying for all CNC machines, the three key indices (Severity (S), Occurrence (O) and Detection (D)) we reassessed and the statistical analysis of failures was carried out with help of Machinery Failure Mode and Effects Analysis (MFMEA) worksheet. Finally, the necessary corrective actions were recommended. Keywords: CNC machine failures; MFMEA; RPN; Severity; Occurrence; Detection

Author Biographies

Raj Kumar Salvi, PG Scholar, Department of Mechanical Engineering, College of Technology and Engineering, Udaipur, Rajasthan, India

PG Scholar, Department of Mechanical Engineering, College of Technology and Engineering, Udaipur, Rajasthan, India

Chitranjan Agarwal, Assistant Professor, Department of Mechanical Engineering, College of Technology and Engineering, Maharana Pratap University of Agriculture and Technology, Udaipur, Rajasthan

Assistant Professor, Department of Mechanical Engineering, College of Technology and Engineering, Maharana Pratap University of Agriculture and Technology, Udaipur, Rajasthan India

B. P. Nandawana, Professor, Department of Mechanical Engineering, College of Technology and Engineering, Maharana Pratap University of Agriculture and Technology, Udaipur, Rajasthan

Professor, Department of Mechanical Engineering, College of Technology and Engineering, Maharana Pratap University of Agriculture and Technology, Udaipur, Rajasthan India

M. A. Saloda, Associate Professor, Department of Mechanical Engineering, College of Technology and Engineering, Maharana Pratap University of Agriculture and Technology, Udaipur, Rajasthan

Associate Professor, Department of Mechanical Engineering, College of Technology and Engineering, Maharana Pratap University of Agriculture and Technology, Udaipur, Rajasthan India

References

Y. M. Degu and R.S. Moorthy, Implementation of Machinery Failure Mode and Effect Analysis in Amhara Pipe Factory P.L.C., Bahir Dar, Ethiopia, American Journal of Engineering Research, 2014, Vol. 03 (1), pp. 57-63.

Ambekar S. B., Edlabadkar A. and Shrouty V. 2013, A Review: Implementation of Failure Mode and Effect Analysis, International Journal of Engineering and Innovative Technology, 2(8): 37-41.

Braglia M., Frosolini M., and Montanari, R. 2003(b), Fuzzy TOPSIS approach for failure mode, effects and criticality analysis. Quality and Reliability Engineering International, 19: 425–443.

Liu H.C., Liu L. and Liu N. 2013, Risk evaluation approaches in failure mode and effects analysis: A literature review, Expert Systems with Applications, 40: 828-838.

Yang J., Huang H-Z., He L-P., Zhu S.P. and Wenc D. 2011, Risk evaluation in failure mode and effects analysis of aircraft turbine rotor blades using Dempster–Shafer evidence theory under uncertainty, Engineering Failure Analysis, 18: 2084–2092.

Liu, H. C., Liu, L., Liu, N., & Mao, L. X. (2012). Risk evaluation in failure mode and effects analysis with extended VIKOR method under fuzzy environment. Expert Systems with Applications, 39, 12926–12934.

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Published

2016-06-20

Issue

Vol. 1 No. 1 (2016)

Section

Articles