Multi response optimization of electrochemical drilling of titanium Ti6Al4V alloy using Taguchi based grey relational analysis

摘要

Titanium alloys are increasingly used in the aerospace, marine, biomedical and automobile industries. Manufacturing of products using titanium and its alloys are challenging. Traditional machining is limited in application due to high wear rate and slow machining. Non-conventional machining processes are explored for machining such traditionally hard to machine alloys. Electrochemical machining (ECM) is one of the promising process as it is a stress free, non-contact, material removal process with better precision control and a wider range of conductive work materials. The main objective of this work is to establish the operating parameters of electrochemical drilling of the titanium alloy Ti-6Al-4V. The influence of various parameters like feed rate, electrolyte flow rate and concentration of electrolyte over the material removal rate and over cut is investigated. Taguchi’s orthogonal arrays, signal-to-noise ratio (S/N ratio), the analysis of variance (ANOVA) and grey relational analysis are employed to analyze the effect of these parameters and to find the optimal process parameters levels for multi objective responses.