MADM Technique Integrated with Grey- based Taguchi method for Selection of Alluminium alloys to minimize deburring cost during Drilling

Abstract

Traditionally, burr problems had been considered unavoidable so that most efforts had been made on removal of the burr as a post process. Nowadays, a trend of manufacturing is an integration of the whole production flow from design to end product. Manufacturing problem issues are handled in various stages even from design stage. Therefore, the methods of describing the burr are getting much attention in recent years for the systematic approach to resolve the burr problem at various manufacturing stages. The main objective of this paper is to explore the basic concepts of MADM methods. In this study, five parameters namely speed, feed, drill size, drill geometry such as point angle and clearance angle were identified to influence more on burr formation during drilling. L 18 orthogonal array was selected and experiments were conducted as per Taguchi experimental plan for Aluminium alloy of 2014, 6061, 5035 and 7075 series. The experiment performed on a CNC Machining center with HSS twist drills. The burr size such as height and thickness were measured on exit of each hole. An optimal combination of process parameters was obtained to minimize the burr size via grey relational analysis. The output from grey based- taguchi method fed as input to the MADM. Apart from burr size strength and temperature are also considered as attributes. Finally, the results generated in MADM suggests the suitable alternative of  aluminium alloy, which results in less deburring cost, high strength and high resistance at elevated temperatures.