Multi-Response Optimization In Turning Of Titanium Alloy Using Grey Relational Analysis

Abstract

This study was conducted to finding the effects of machining parameters on surface roughness, Material removal rate and roundness error in wet turning of Ti-6Al-4V. This Titanium alloy was commonly used in aerospace applications. It is an alpha beta alloy. It provides exceptional strength to weight ratio, corrosion resistance etc. Multi layered CVD coated carbide tool with different nose radius are chosen for this work. Combined effects of four cutting parameters, namely cutting speed, feed rate, depth of cu and nose radius on performance measures such as surface roughness, Material removal rate and roundness error , are explored by Grey relational analysis. These responses are important factors to evaluate cutting performance and also influences the product quality, product cost etc. to name a few. Taguchis L9 OA was used as experimental design.