Six Sigma based approach to optimize radial forging operation variables

A K Sahoo, M K Tiwari, Antony R Mileham

Research output: Contribution to journalArticle

42 Citations (Scopus)
104 Downloads (Pure)

Abstract

The present competitive market is focusing industrial efforts on producing high-quality products with the lowest possible cost. To help accomplish this objective, various quality improvement philosophies have been put forward in recent years and of these Six Sigma has emerged as perhaps the most viable and efficient technique for process quality improvement. The work in this paper focuses on implementing the DMAIC (Define, Measurement, Analyze, Improve, and Control) based Six Sigma approach in order to optimize the radial forging operation variables. In this research, the authors have kept their prime focus on minimizing the residual stress developed in components manufactured by the radial forging process. Analysis of various critical process parameters and the interaction among them was carried out with the help of Taguchi's method of experimental design. To optimize the results obtained and to make the analysis more precise and cost effective, response surface methodology (RSM) was also incorporated. The optimized parameters obtained using Taguchi method and RSM were then tested in an industrial case study and a trade-off made to finalize the recommended process parameters used in manufacture.
Original languageEnglish
Pages (from-to)125-136
Number of pages12
JournalJournal of Materials Processing Technology
Volume202
Issue number1-3
DOIs
Publication statusPublished - Aug 2008

Fingerprint

Taguchi methods
Forging
Design of experiments
Costs
Residual stresses
Six sigma

Keywords

  • Response surface methodology
  • Design of experiment (DOE)
  • Six Sigma
  • Radial forging
  • Analysis of variance (ANOVA)
  • S/N ratio
  • Orthogonal array

Cite this

Six Sigma based approach to optimize radial forging operation variables. / Sahoo, A K; Tiwari, M K; Mileham, Antony R.

In: Journal of Materials Processing Technology, Vol. 202, No. 1-3, 08.2008, p. 125-136.

Research output: Contribution to journalArticle

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