Title: Optimisation of surface roughness with GA approach in turning 15% SiCp reinforced AlSi7Mg2 MMC material
Authors: Cihan Ozel, Erol Kilickap
Addresses: Department of Mechanical Engineering, Firat University, Elazig 23119, Turkey. ' Department of Mechanical Engineering, Dicle University, Diyarbakir, Turkey
Abstract: In this study, 15% SiCP reinforced Metal Matrix Composite (MMC) AlSi7Mg2 material was turned by an uncoated WC cutting tool (K10) at cutting speeds of 50, 100 and 150 m/min, feed rates of 0.1, 0.2 and 0.3 mm/rev and depths of cut of 0.5, 1 and 1.5 and surface roughness values have been examined after each workpiece machined. A mathematical expression was derived by means of regression analysis method using the results obtained from the experiments performed under these conditions. Then, with the help of this expression, optimum turning parameters for minimum surface roughness were found via Genetic Algorithm (GA).
Keywords: genetic algorithms; GA; surface roughness; turning; machining parameters; optimisation; metal matrix composites; MMCs; composites machining.
International Journal of Machining and Machinability of Materials, 2006 Vol.1 No.4, pp.476 - 487
Published online: 06 Feb 2007 *Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article