Parametric Optimization of End Milling Of AISI 1018 Mild Steel by Various Lubricants with Solid Carbide End Mills

This study investigated the optimization of End milling of AISI 1018mild steel by various lubricants using the Grey relational analysis method. Quaker 7101, Blasocut strong 4000 and Velvex have been selected as lubricant. All the experiment are carried out at different cutting parameter (Number of Tool Flutes, Depth of cut, Spindle speed and Feed rate) in various lubricant assisted environment.Twenty Seven experiments runs based on an orthogonal array of Taguchi method were performed. Each nine experiments were carried out in Quaker 7101, Blasocut strong 4000 and Velvex lubricant. Surface roughness, cutting force andpower consumption selected as aresponse variable.An optimal parameter combination of the milling operation was obtained via Grey relational analysis. By analyzing the Grey relational grade matrix, the degree of influence for each controllable process factor onto individual quality targets can be found. The optimal parameter combination is then tested for accuracy of conclusion with a test run using the same parameters.