Paper Title
Predictive Modelling Of Chip Serration Using Fuzzy Logic
Abstract
Abstract— Chip Serration is a typical characteristic observed in high speed machining. The chip formed has zones of low
and high shear strains with serrated teeth appearing in the body of the chip. These variations influence the chip frequency
which affects the tool life and hence the production cost. The objective of this paper is to optimize cutting speed, axial
depth of cut, radial depth of cut and to determine the frequency. In this present work, stainless steel AISI 420 is used
as a work piece and coated (TiN+TiAlNi) Tungsten Carbide as the tool. The range of cutting parameters are cutting
speed, axial depth of cut and radial depth of cut which were selected for two level factorial design for the
experimental work. The chip serration frequency was computed and modeled through fuzzy logic system. The
developed fuzzy model works efficiently with average error produced -1.6376197 when compared with the
experimental work.