Experimental investigation and multi objective optimisation of Duplex 2304 drilling operation using evolutionary algorithm

M. Varatharajulu, G. Jayaprakash, N. Baskar and R. Narayanasamy

International Journal of Manufacturing Technology and Management, 2018, vol. 32, issue 4/5, 336-357

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. (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:ids:ijmtma:v:32:y:2018:i:4/5:p:336-357

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