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, power consumption, surface roughness, and chip thickness ratio are frequently utilized. The goal of this work is to model the effect of cutting parameters (cutting speed, depth of cut and feed rate) 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 parameters and the three force components of machining force and the chip thickness ration. The inputs to all fuzzy logic models are cutting speed, depth of cut and feed rate. Whereas, the output for first, second, third and fourth models are cutting force, passive force, feed force and chip thickness ratio, respectively. All fuzzy models showed good match to the experimental data and the computed correlation coefficients were larger than or equal 0.9998. Those models were used to optimize the cutting process and give the optimum cutting parameters.