A review of optimization techniques in machining of composite materials

Abstract In today’s fast changing scenario in manufacturing sector it is essential to apply optimization methods in machining process to increase quality of product in market and to stay competitive. This paper discusses on, several methods used for optimization namely Taguchi method, Gravitational Search Algorithms (GSA), Response Surface Methodology (RSM), Analytic Hierarchy Process (AHP), Genetic Algorithm (GA), Artificial Neural Network (ANN), The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and Fuzzy Logic (FL) in various machining processes such as turning, milling, drilling and Abrasive Water Jet (AWJ) for normal and high speed machining of composite work materials. Optimization of control parameters in machining of composite material for various responses are reviewed and presented for the benefit of selection by research professionals.

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