DEVELOPMENT OF FUZZY LOGIC MODEL FOR CUTTING PARAMETERS INFLUENCE ON THE CUTTING FORCE AND THE CHIP THICKNESS RATIO DURING TURNING OF ALUMINUM ALLOY 1350-O

Abstract

In turning operation, numerous parameters are utilized to analyze machinability. Parameters,for instant, tool wear, tool life, cutting temperature, machining force components, powerconsumption, surface roughness, and chip thickness ratio are frequently utilized. The goal ofthis work is to model the effect of cutting parameters (cutting speed, depth of cut and feedrate) on the machining force and chip thickness ratio during turning ductile aluminum 1350-O. Four fuzzy logic models were built to model the relationship between cutting parametersand the three force components of machining force and the chip thickness ration. The inputsto all fuzzy logic models are cutting speed, depth of cut and feed rate. Whereas, the outputfor first, second, third and fourth models are cutting force, passive force, feed force and chipthickness ratio, respectively. All fuzzy models showed good match to the experimental dataand the computed correlation coefficients were larger than or equal 0.9998. Those modelswere used to optimize the cutting process and give the optimum cutting parameters.