MULTI OBJECTIVE PARAMETRIC OPTIMIZATION ON WEAR OF COCONUT FIBERS WITH POLYAMIDE MATRIX

P.Rajasekhar, G.Ganesan, C.Senthilkumar

Abstract: Determination of optimum variables, during the wear test on polymer matrix composites (PMC), is an important issue for nowadays specifically, the wear rate (WR) and coefficient of friction (COF) needs to be minimized. Despite extensive research on wear process, influential the indented operating conditions in industrial arena needs skilled operators. The purpose of this study is to optimize the process variables such as normal force, sliding velocity and reinforcement to minimize wear rate and friction coefficient. Central Composite Rotatable Design (CCD) was selected to conduct the experiments. The empirical models were developed using nonlinear regression analysis. The worn out morphology of the surfaces were observed through scanning electron microscope (SEM). The input variables were optimized using RSM.

Keywords: Friction coefficient, Wear Rate, Polyamide, Coconut fiber, ANOVA, SEM, CCD

DOI: https://doi.org/10.15623/ijret.2014.0323071