Title: Experimental investigation and multi objective optimisation of Duplex 2304 drilling operation using evolutionary algorithm
Authors: M. Varatharajulu; G. Jayaprakash; N. Baskar; R. Narayanasamy
Addresses: Department of Mechanical Engineering, A. V. C. College of Engineering, Mannampandal 609 305, Tamil Nadu, India ' Department of Mechanical Engineering, Saranathan College of Engineering, Tiruchirapalli 620 012, Tamil Nadu, India ' Department of Mechanical Engineering, Saranathan College of Engineering, Tiruchirapalli 620 012, Tamil Nadu, India ' Department of Production Engineering, National Institute of Technology, Tiruchirapalli 621 105, Tamil Nadu, India
Abstract: This paper deals with identification of optimal input parameters of Duplex 2304 in drilling operation using evolutionary algorithm. The influence of the spindle speed and the feed rate on thrust force, torque, drilling time, burr height, burr thickness, roundness and roughness have been investigated and a mathematical model has been proposed in the present work. Contour graphs are used to study the effect of drilling parameters on the various objectives of the experimental investigation. The response of material behaviour with respect to the given input has been analysed in order to understand the deeds. Analysis of variance (ANOVA) was employed to identify the significant drilling parameters on their performance characteristics. The developed regression model is in good agreement with the present experimental results. Further spindle speed and feed rate were optimised as 539.47253 rpm and 0.03828 mm/rev. respectively through genetic algorithm (GA) in order to minimise the responses.
Keywords: drilling processes; regression analysis; Duplex; thrust force; roughness; evolutionary algorithm.
International Journal of Manufacturing Technology and Management, 2018 Vol.32 No.4/5, pp.336 - 357
Received: 12 Nov 2016
Accepted: 10 Mar 2017
Published online: 25 Jul 2018 *