Optimization of Glass Fiber Reinforced Polymer (GFRP) using Multi Objective Taguchi function and TOPSIS

Abstract

Optimization is the process of finding an alternative with the most profitable or highest performance possible within the specified limits, maximizing the desired factors and minimizing the unwanted ones. In this project, the multi-objective optimization, ie the simultaneous optimization of several factors, is performed on the parameters in the drilling operation using the multi-objective function Taguchi and TOPSIS. The material used for the milling operation is the glass fiber reinforced polymer and the parameters are the surface roughness, the rate of material removal and the delamination factor. TOPSIS is a multi-criteria decision-making method developed by Yoon and Wang, which involves determining the shortest distance from the positive solution and the greater distance. of the negative solution. For the maximized parameters, the maximum weighted value is the positive solution, while for the minimized parameters, the minimum weighted value is the positive solution. Dr. Taguchi of Nippon Telephones and Telegraph Company, in Japan, developed an experiment-based method called “ORTHOGONAL ARRAY” which provides a very small “variance” for the experiment with “optimal settings” of the control parameters.