DefinePK

Abstract

In grinding, the complexity of the nonlinear relationship between numerous parameters poses a challenging problem in predicting the surface roughness achieved. In this work, fuzzy logic is used to model surface roughness in vertical grinding process of 6061 aluminium alloy using cubic boron nitride grinding wheel. Three grinding parameters considered are the cutting depth, feed and speed. The grinding experiments were performed to obtain a set of experimental data which is then used to develop the fuzzy logic model with a Mamdani-type system to predict the output based on three given grinding parameters. The results of the study showed that the fuzzy logic model was able to give accurate estimation of the surface roughnesses closer to those obtained experimentally.