Surface Roughness Model for Machining Glass Fiber Reinforced Plastics by PCD Tool using Fuzzy Logics

Abstract

This article discusses the use of fuzzy logic for modeling machining parameters in machining glass fiber reinforced plastics by poly-crystalline diamond tool. The Taguchi method was used for conducting the experiments, which in turn reduced the number of experiments. An L27 (313) orthogonal array was used to investigate the machining process. The cutting parameters selected were cutting speed, feed, and depth of cut. The output responses considered for the investigation were surface roughness parameters such as arithmetic average height (Ra) and maximum height of the profile (Rt). Fuzzy rule based models were developed for correlating cutting parameters with surface roughness parameters. The model predicted values and measured values were fairly close to each other. The confirmation test results proved the fact that the developed models were effectively representing the surface roughness parameters Ra and Rt in machining of GFRP composites.