Title: Investigation of optimal machining parameters for turning operation using intelligent techniques
Authors: S. Bharathi Raja, N. Baskar
Addresses: School of Mechanical Engineering, SASTRA University, Thanjavur, Tamil Nadu, India. ' School of Mechanical Engineering, SASTRA University, Thanjavur, Tamil Nadu, India
Abstract: Determination of optimum machining parameters for turning operation has been investigated using non-traditional optimisation techniques and compared the results with Nelder-Mead simplex (NMS) method. The combination minimum production time and cost is considered as the objective function. The optimum machining parameters such cutting speed, feed, depth of cut are determined by simulated annealing algorithm, genetic algorithm, particle swarm optimisation, memetic algorithm and hybrid algorithm. Physical constraints are speed, feed, depth of cut, power limitation, surface roughness, cutting force and temperature constraints.
Keywords: machining parameters; turning operations; optimisation; intelligent machining; intelligent manufacturing; simulated annealing; genetic algorithms; particle swarm optimisation; PSO; memetics; cutting speed; feed; depth of cut; power limit; surface roughness; cutting force; temperature.
International Journal of Machining and Machinability of Materials, 2010 Vol.8 No.1/2, pp.146 - 166
Published online: 05 Aug 2010 *Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article