Investigations on the Effect of Applying Minimal Quantity Lubrication (MQL) Cooling for Surface Milling of Industrial Cast Iron Using Multi-Objective Optimization Technique

Accurate dimensions and good surface finish of any mechanical component are essential for improving product quality and reliability. The present work focuses on applying Multi objective optimization and Ratio Analysis (MOORA) techniques for improving surface finish and material removal rate during the milling of cast iron. To promote eco-friendly machining, surface milling experiments were conducted using Minimum Quantity Lubrication (MQL) technique by replacing the conventional flood coolant method. Taguchi technique is used for multi-objective process optimization. The surface milling experiments were carried out using an L9 orthogonal array. The process parameters considered for the study were spindle speed, feed rate, and depth of cut at three levels. ANOVA analysis is carried out to identify the significant factors and their contribution to the responses. The optimum levels of process parameters were found for both Surface roughness and Material removal rate. MOORA technique was applied for both responses to minimize surface roughness and maximize the material removal rate. MQL technique being an eco-friendly coolant supply method can effectively be utilized for brittle materials like cast iron.