Ants colony algorithm approach for multi-objective optimisation of surface grinding operations
Source: The International Journal of Advanced Manufacturing Technology, Volume 23, Numbers 5-6, March 2004 , pp. 311-317(7)
Abstract:An ant colony based optimisation procedure has been developed to optimise grinding conditions, viz. wheel speed, workpiece speed, depth of dressing and lead of dressing, using a multi-objective function model with a weighted approach for the surface grinding process. The procedure evaluates the production cost and production rate for the optimum grinding condition, subjected to constraints such as thermal damage, wheel wear parameters, machine tool stiffness and surface finish. The results are compared with Genetic Algorithm (GA) and Quadratic Programming (QP) techniques.
Document Type: Research Article
Affiliations: 1: Department of Mechanical Engineering, Sastra University, Tanjore, India, Email: email@example.com 2: Department of Mechanical Engineering, JJ College of Engineering, Trichy, India, 3: Department of Production Engineering, Regional Engineering College, Trichirapalli, India,
Publication date: March 1, 2004