Effect of End Milling Process Parameters and Corrosion Behaviour of ZE41A Magnesium Alloy using Taguchi Based GRA

Abstract

The purpose of the study is to optimize the machining characteristics for milling ZE41A Mg alloy on a CNC milling by Taguchi-based Grey relational analysis (GRA) to achieve the maximum material removal rate (MRR), lowest corrosion rate (CR), and surface roughness (SR). After one week of immersion in simulated body fluid (SBF), weighing samples determined the corrosion rate. The process attributes, which include tool rotation cutting speed, feed rate, and depth of cut, are opted. The experiments were conducted using a Taguchi L16 orthogonal array (OA). Additionally, variance analysis (ANOVA) was used to determine the influence of process parameters on the responses. The study discusses the significance of machining process parameters concerning the degradation behavior of biomedical implant materials in a simulated body fluid (SBF). According to the current study, the most influential parameters in multi-objective optimization are the tool rotation cutting speed and feed rate. Thus, the results obtained with GRA of MRR: 492.25mm3/min, SR: 0.3112µm, and CR: 6.386mm/year with the experimental confirmatory test were close to the expected values. ZE41A Mg alloy machined samples at optimum end-milling parameters enhanced performance in reduced surface roughness and low in-vitro corrosion rate for ZE41A Mg alloy.