3th WCSET-2014 at Nepal

 

Mechanical Engineering / Sustainable Energy Session:

Title:           Design of Experiment Based Approach to Optimize Turn-Assisted Deep Cold Rolling Process Parameters
Authors:      P. Raghavendra Prabhu, S. M. Kulkarni, S. S. Sharma, Jagannath K., Gowrishankar M. C., Achutha Kini U.
Abstract:     With modern analytical and computational techniques it is often possible to estimate the effects of various process parameters of deep cold rolling on the fatigue life and residual compressive stress to which the component is subjected in service. However, there are numerous parameters to be considered and, very importantly, the effects of each of these parameters may well be themselves dependent on other variables. This interaction between variables would make the normal approach of a parametric study followed by simple inspection of the results prohibitively complex for any more than two or possibly three variables. Therefore the methodology of statistical experimental design has been developed to address such problems where multiple, interacting variables with significant experimental variation make interpretation of the data complex and difficult. So, this paper focuses on implementing the design of experiment (DOE) based approach in order to optimize the turn-assisted deep cold rolling process parameters. In this work, prime focus is given on maximizing the fatigue life of the component processed with turn-assisted deep cold rolling process. Analysis of various critical process parameters and the
interaction among them is carried out with the help of central composite experimental design (CCD). To optimize the results obtained and to make the analysis more precise and cost effective, response surface methodology (RSM) and desirability function approach (DFA) is incorporated. The optimized parameters obtained using CCD and RSM are then tested with the help of confirmation experiments.

Keywords:    Turn-assisted deep cold rolling, Fatigue life, Response surface methodology, Central composite design, Design of experiment
Pages:           394-400

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