Optimization of end milling process of Oil Hardened Non-Shrinking Die Steel (OHNS) under different cutting environment using Taguchi and Response surface methodology (RSM) approach

Abstract

ABSTRACTIn this paper Response surface methodology (RSM) based multi-objective approach is applied in order to predict optimal machining parameters and better cutting environment for the end milling process of OHNS (Oil Hardened Non-Shrinking Die Steel) using both coated and uncoated carbide tools of 8 mm diameter inserted into an end miller in both dry (without coolant) and wet (milling with coolant) environment. Optimization is carried out using parametric model based on input cutting parameters such as cutting speed, feed rate and depth of cut and exploiting the capabilities of statistical approaches (Taguchi and RSM) in constrained machining. The objective function is to minimize the surface roughness and finding the better end milling tool-type and cutting environment. The optimized parameters carrying the major objective function (minimizing surface roughness) for different tooling and cooling condition is identified. It was observed that the best optimized configuration for end milling of OHNS was found in carbide coated tool in both dry and wet cutting environment.