International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 117 - Number 9 |
Year of Publication: 2015 |
Authors: Kiran A Patel, Pragnesh K Brahmbhatt |
10.5120/20586-3016 |
Kiran A Patel, Pragnesh K Brahmbhatt . Comparative Analysis for Surface Roughness of Al Alloy 6061 using MLR and RSM. International Journal of Computer Applications. 117, 9 ( May 2015), 41-45. DOI=10.5120/20586-3016
Burnishing is a chip less finishing method which employs a rolling tool pressed against the work piece for achieving plastic deformation of the surface layer. Roller burnishing process is largely considered in industrial cases in order to restructure surface characteristic. The main aim of this study is to compare the prediction accuracy of Response surface methodology (RSM) and Multiple Linear Regressions (MLR) model for Surface roughness. Roller burnishing process is employed on Al alloy work piece for current study. In the present work the effect of burnishing parameter like speed, Interference, feed and the number of passes is going to be examined on the surface quality and its wearing characteristics of Al Alloy 6061. Result and comparative data clearly indicate the better prediction capability of the RSM over the MLR model.