Optimization of Machining Parameter in Turning Inconel 625

Inconel 625 materials are widely used in the chemical, aircraft and shipbuilding industries due to thermal resistant retaining mechanical properties. These materials are generally hard to machine material due to their high strength and high work hardening tendency. The present work is focused on investigating the effect of process parameters on machinability performance characteristics and thereby optimization of the turning Inconel 625. The cutting speed, feed and depth of cut were used as the process parameters whereas the cutting force and surface roughness was selected as performance characteristics. The L9 orthogonal array based on design of experiments was used to conduct experiments. The multi-objective optimization based on Taguchi-based Grey relational method, were employed to find the optimal levels of cutting parameters for the objective of lower cutting force and better surface finish under dry cutting conditions. From the statistical analysis, the results show that the feed is identified as the most significant parameter for the tuning operation according to the weighted sum grade of the cutting force and surface roughness. (c) 2017 Elsevier Ltd. All rights reserved.