Optimization of drilling conditions of Glass fibre reinforced plastic composite material using genetic algorithm

Mohan, N S and Jagannath, K and Sharma , S S and Bhat, Chandrashekhar (2011) Optimization of drilling conditions of Glass fibre reinforced plastic composite material using genetic algorithm. In: The Nineteenth Annual Int.Conf. on Composites or Nano Engg.(ICCE 19, July 24-30,2011, SHANGHI, CHAINA.

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Abstract

Glass fiber reinforced plastics are finding increased applications in various engineering fields such as aerospace, automotive, electronics and other industries. Drilling is one of the most frequently practiced machining processes in industries owing to the need for component assembly in mechanical structures. In this work, the constrained optimization of cutting conditions is determined and treated by the application of genetic algorithm to determine the optimum values of cutting speed and feed rate which yield minimum cost of drilling operation performed on a TRIAC VMC CNC machine. The results indicated that the model can be effectively used for predicting the machining conditions yielding the minimum cost of operation and the results are compared with the optimization results obtained using geometric programming.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Genetic algorithm, Glass fiber-reinforced thermoplastics, Thermoset plastics
Subjects: Engineering > MIT Manipal > Mechanical and Manufacturing
Depositing User: MIT Library
Date Deposited: 23 Mar 2013 11:35
Last Modified: 23 Mar 2013 11:35
URI: http://eprints.manipal.edu/id/eprint/79259

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