Optimization of Drilling Process Parameters for Material Removal Rate and Surface Roughness on Titanium Alloy using Response Surface Methodology and Fire Fly Algorithm

Abstract

Material removal rate and surface roughness are the important aspects in manufacturing of components. In recent daysvarious newer materials is introduced in power generation, chemical processing, petroleum, automotive industries and armor applications due to their inherent properties. The application of titanium alloy is increased more rapidly than before this decade, since it can decrease lifespan costs through a broad range of equipment and processes. In addition, titanium is one of the newer materials and its machining parameters on drilling operation are to be investigated owing to its poor machinability. In the present work, the influences of spindle speed and feed rate on metal removal rate and surface roughness are studied. To support this objective, Response Surface Methodology (RSM) was used to make a relationship between drilling parameter and responses. Subsequently a new meta-heuristic Fire Fly Algorithm (FFA) was used to optimize the drilling parameters. The developed empirical model is solved by FFA for maximizing the volume of material removed and minimizing the surface roughness of titanium alloy.