An empirical study on modified second order response surface and Taguchi designs for optimizing the process parameters

Abstract

In this paper, Following the works of Rajendar et al. (2004) and Prabhakar et al. (2014), we combine the methods of modified second order response surface design and Taguchi design of experiments to determine optimum level of process parameters. Here we mainly focused on the statistical analysis of these two methods and obtain the optimum response with a smaller number of design points by using modified second order response surface design. The results in our study showing that modified second order response surface designs required a smaller number of design points to obtain the optimum value. The optimal process parameters of surface roughness are determined using Modified response surface combinations and Taguchi approach along with response graphs.