Title: Implementation of genetic optimisation technique in small-scale industries

Authors: V. Janakiraman, R. Saravanan

Addresses: Department of Mechanical Engineering, Arulmigu Kalasalingam College of Engineering, Krishnankoil 626 190, Tamilnadu, India. ' Department of Mechanical Engineering, Bannari Amman Institute of Technology, Sathyamangalam, Erode District, Tamilnadu, India

Abstract: The turning centre is so versatile that they find wide applications in all the manufacturing industries. Hence, it is desired to optimise the operating parameters of the turning process. Data collected from two different industries for two different components are used for optimising. Single optimisation procedure by genetic algorithm has been developed in this work which is applied for turning process. In this paper, we prove that an average of around 17.78% reduction in machining time is possible by applying genetic algorithm. Further, the same procedure can be applied to other production processes such as milling, grinding, welding and electrical discharge machining.

Keywords: parameter optimisation; cutting speed; feed rate; depth of cut; CNC machines; genetic algorithms; GAs; turning centres.

DOI: 10.1504/IJCAET.2011.042360

International Journal of Computer Aided Engineering and Technology, 2011 Vol.3 No.5/6, pp.517 - 525

Published online: 06 Sep 2011 *

Full-text access for editors Access for subscribers Purchase this article Comment on this article