Enhancement of Surface Finish by Optimization Technique Employed for Al 6061 Considering Different Parameters Using RSM

8 Pages Posted: 14 Oct 2019

See all articles by Ajay Pal Singh

Ajay Pal Singh

MARUDHAR ENGINEERING COLLEGE BIKANER

Abdul Samad

Marudhar Engineering College

Amit Kumar Saraf

Jagannath University

Date Written: October 12, 2019

Abstract

The objective of the present work is to analyze the effects of the machining parameters in turning of Al 6061 alloy on the surface roughness parameters. The Design of experiments based on response surface methodology with three numeric factors (cutting speed, feed rate and depth of cut) five level central composite rotatable designs have been used to develop relationships for predicting surface roughness. The surface roughness parameters were measured using surface roughness tester (SURFTEST SJ- 210). The “Design Expert” software has been used for the analysis. A quadratic model and linear Model have been developed which indicates that interaction is present between the machining parameters (speed, feed, depth of cut). Model adequacy tests were conducted using ANOVA table and the effects of various parameters were investigated and presented in the form of contour plots and 3D surface graphs. Numerical optimization was carried out considering all the input parameters within range so as to minimize the surface roughness. The optimal values obtained are cutting speed 187.84 m/min, feed 73.37 mm/min and depth of cut 0.48 mm.The findings of this study would be beneficial to manufacturing industries (Specially in Automobile sector) where surface finishing plays a very important role.

Keywords: Surface Finish, ANOVA, Aluminium Alloy, CNC

Suggested Citation

Singh, Ajay Pal and Samad, Abdul and Saraf, Amit Kumar, Enhancement of Surface Finish by Optimization Technique Employed for Al 6061 Considering Different Parameters Using RSM (October 12, 2019). Proceedings of International Conference on Advancements in Computing & Management (ICACM) 2019. Available at SSRN: https://ssrn.com/abstract=3468726 or http://dx.doi.org/10.2139/ssrn.3468726

Ajay Pal Singh

MARUDHAR ENGINEERING COLLEGE BIKANER ( email )

NH-11 JAIPUR ROAD
RAISAR
BIKANER, AK RAJASTHAN 334001
India
9351765955 (Phone)
334001 (Fax)

Abdul Samad

Marudhar Engineering College ( email )

Bikaner, 334001
India

Amit Kumar Saraf (Contact Author)

Jagannath University ( email )

9-10, Chittaranjan Avenue
India
Sadarghat, Dhaka 1100
Bangladesh

Here is the Coronavirus
related research on SSRN

Paper statistics

Downloads
11
Abstract Views
133
PlumX Metrics