DefinePK

Abstract

This paper proposes an extensive experimental and micro structural analysis to study the effect of cryogenic treatment at different temperatures i.e., shallow cryogenic treatment (SCT) i.e., at -110oC, medium cryogenic treatment (MCT) i.e., at -150oC and deep cryogenic treatment (DCT) i.e., at -175oC on tungsten carbide end mill cutter on the machinability of P20 mold steel. A Box-Behnken design of response surface methodology (RSM) is utilized to collect data for the study. Cutting speed, feed rate, depth of cut and milling cutters subjected to various lowering temperatures are taken as important process variables which are a function of performance measures viz. tool wear rate (TWR), material removal rate (MRR). The results showed that cryogenic treatment, cutting speed, feed, and depth of cut exhibits considerable effect on performance measures. Meanwhile, to relate the process variables with the performance measures, regression analysis is conducted. Finally, to obtain the Pareto optimal solution, a non-dominated sorting genetic algorithm (NSGA-II) is proposed. The proposed model can be utilised to select the optimal process parameters to achieve the best machining condition for CNC milling process to enhance the productivity of the process.