Multiple criterion optimization in milling of AISI H11 mold steel under MQL condition

Abstract

In this investigation, the method of minimum quantity lubrication (MQL) is utilized in the procedure of finishing milling of AISI H11 steel instead of the conventional lubrication method. The variants are three three-level experimental cutting parameters, including [Formula: see text]-cutting speed, [Formula: see text]-feed per tooth, and [Formula: see text]-depth of cut. The responses are production rate (MRR, in mm3/min), cutting force ([Formula: see text], in N), and surface roughness ([Formula: see text], in [Formula: see text]m). The purpose of this study is to generate the mathematical regression models for the responses ([Formula: see text], [Formula: see text], and MRR), and solve the multi-objective optimization problem to estimate the appropriate input parameters respecting the defined criteria for [Formula: see text], [Formula: see text], and MRR. Experimental research was conducted with an experimental matrix designed by Box–Behnken Design (BBD). The experimental runs were executed on a 5-axis CNC machine tool, model DMU50. The desirability function (DF) method is used to resolve the problem of multi-attribute optimization. The results show that the optimum process variables include [Formula: see text] m/min, [Formula: see text] mm/tooth, [Formula: see text] mm, corresponding to [Formula: see text]m, [Formula: see text] N, and [Formula: see text] mm3/min.