Multi response optimization and regression analysis of milling parameters of jute fibre reinforced epoxy composite

Abstract

Multi response optimization is a tool for decision making when a number of characters are to be simultaneously considered. Multicriteria analysis helps in choosing the most feasible outcome from a from a finite set of available data. It is concerned with ranking of various alternatives for a particular case across all criteria. The use of organic materials to derive composites is very popular these days due to the environmental impact caused by artificial and synthetic composites. Organic or green composites are preferred by manufacturers due to their cost effectiveness, strength to weight ratio, durability etc. Jute is one of the cheapest and easily available organic fibres available. In this particular study we are concerned with the analysis of machining process of a jute fibre reinforced epoxy composite. Machining of a composite sheet results in matrix cracking, fibre pull-out, delamination etc. So, it is important to optimize various cutting parameters to obtain the most feasible results. The main objective of this study is to optimize 3 cutting parameters (output parameters) surface roughness (Ra & Rz), material removal rate and tool wear rate. To obtain these output values input parameters feed rate, spindle speed and depth of cut are varied. The Taguchi L27 orthogonal array is chosen and grey relational analysis is used to get the optimum performance parameters, that is, minimum surface roughness and Tool Wear Rate (TWR) and maximum Material Removal Rate (MRR). Regression analysis is also done to obtain empirical formulas for each parameter.