Multi-objective optimization of milling process parameters in glass fibre reinforced polymer via grey relational analysis and desirability function

Abstract Finding the greatest or least value of a function for some constrain, that is correct regardless of the solution, this process is optimization. Inorder to lift up or improve the quality of machining products, to reduce the machining costs and for the raise of production rate, there is an important issue, ie the selection of optimum cutting parameters. In this project there is a performance of different factors of simultaneous optimization as the parameters in milling operation by combining the method of GRA and DFA. The simultaneous optimization is also known as multi-objective optimization. The epoxy glass fibre is the material used for milling operation and the parameters are delamination factor, machining force and surface roughness. On which every parameters have to be in minimized magnitude. The Grey relational analysis (GRA) is based on the grey system theory. GRA is used to study the relation among various attributes in a system and for solving the complicated interrelationships among the multiple responses. DFA is one of the most used methods in the industry for optimizing multiple response features. The analysis of the desirability function is used to convert multiple response characteristics into unique response characteristics.