Modeling of Flank Wear Using ANFIS

Abstract

This paper presents the modeling of Flank Wear of machining hot work tool steel (AISI H11) with ceramic tools. This work determined the effect of various cutting parameters:cutting speed, feed rate, depth of cut and nose radius on Flank Wear. Two models have been proposed, the first model is Taguchi method and the second one is adaptive neuro-fuzzy inference system ANFIS. The results obtained by the two models are compared with the experimental results.