TWO-OBJECTIVE SIMULATION OPTIMIZATION OF PROCESS PARAMETERS IN COMPOSITE DRILLING PROCESS USING EVOLUTIONARY ALGORITHM


B.Latha1 and V.S.Senthilkumar 2

1Research Scholar, Faculty of Information & Communication Engineering,College of Engineering Guindy, Anna University Chennai, Chennai 600 025, India email: sivasoorya2003@yahoo.com

2 Department of Mechanical Engineering, College of Engineering Guindy, Anna University Chennai, Chennai 600 025, India email: vsskumar@annauniv.edu


ABSTRACT
Genetic algorithms based multi-objective optimization methodologies have been amply applied to find a representative set of Pareto-optimal solutions in many engineering fields. This paper presents an approach for multiple performance optimization of drilling parameters in drilling of composite machining process. The objective of this research is to optimize the drilling parameters in drilling such as spindle speed, feed rate and drill diameter on maximizing material removal rate and minimizing delamination factor in drilling of composites. The experiments are conducted on computer numeric control drilling machine with carbide drill bit. Mathematical relations are established for responses. Based on the equations developed a NSGA-II algorithm is applied to optimize the drilling conditions. A non-dominated solution set has been obtained and reported.
 

KEYWORDS:Evolutionary algorithm; modeling; optimization; Pareto-set; non-dominated sorting genetic algorithm

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