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Six Sigma based approach to optimize radial forging operation variables


Reference:

Sahoo, A. K., Tiwari, M. K. and Mileham, A. R., 2008. Six Sigma based approach to optimize radial forging operation variables. Journal of Materials Processing Technology, 202 (1-3), pp. 125-136.

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Official URL:

http://dx.doi.org/10.1016/j.jmatprotec.2007.08.085

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.

Details

Item Type Articles
CreatorsSahoo, A. K., Tiwari, M. K. and Mileham, A. R.
DOI10.1016/j.jmatprotec.2007.08.085
Uncontrolled Keywordsresponse surface methodology, design of experiment (doe), six sigma, radial forging, analysis of variance (anova), n ratio, orthogonal array
DepartmentsFaculty of Engineering & Design > Mechanical Engineering
Research CentresInnovative Design & Manufacturing Research Centre (IdMRC)
RefereedYes
StatusPublished
ID Code15055
Additional InformationID number: doi:10.1016/j.jmatprotec.2007.08.085

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