Multi response optimization and desirability function analysis on friction surfaced deposition of AISI 316 stainless steel over EN8 medium carbon steel

• Published in: Materials today : proceedings Vol. 40; pp. S1 - S9
• Main Authors: Sahoo, Dillip K., Mohanty, Bhulok S., John, David F., Pradeep, Amal M.V.
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01-01-2021
• Subjects: ANOVA; Desirability function analysis; Friction surfacing; Multi-response optimization; Taguchi method; Friction surfacing; ANOVA; Desirability function analysis; Multi-response optimization; Taguchi method
• ISSN: 2214-7853; 2214-7853
• DOI: 10.1016/j.matpr.2020.03.131

The present study explains the process parameter optimization of friction surfaced deposition of stainless steel over medium carbon steel with multi response criteria according to Taguchi method and the desirability function analysis. The experimental samples were carried out on the basis of L9 orthogonal arrays. The influence of friction surfacing process parameters like axial load, rotational speed and transverse speed on the formation of coating width, thickness and interface temperature was analysed. The optimum process parameters were obtained using both the Taguchi method and the desirability function approach. The analysis of variance (ANOVA) was applied also for the exploration of the effect of coating parameters. A regression model was developed for coating width, thickness and interface temperature as a function of process variables. Based on the optimal friction surfacing parameters the confirmatory experiments were conducted and improvement was verified.