Authors: S. Xie; Y. Guo
Addresses: School of Computer Engineering, Jimei University, Xiamen 361021, China. ' Department of Mechanical and Electrical Engineering, Xiamen University, Xiamen 361005, China
Abstract: Optimisation of machining parameters is of concern in manufacturing world due to economic reason. To deal with this non-linear optimisation problem that aims to minimise the unit production cost (UC) in multi-pass turning operations, this paper proposes a novel approach, which combines ant colony optimisations (ACO) with a pass enumerating method. Theoretical lower bounds on UC are used to rank the subproblems and to evaluate the performance of the proposed algorithms at the same time. In applying ACO to solve the problems, the bound adjustment of optimised variants (BAOV) method is incorporated with the decimal encoding to represent the solution. Simulation results show that this optimisation approach can find better results than previous algorithms to significantly reduce the UC, and run more efficiently.
Keywords: cutting parameters; multi-pass turning; ant colony optimisation; ACO; pass enumerating; simulation.
International Journal of Machining and Machinability of Materials, 2012 Vol.11 No.2, pp.204 - 220
Received: 27 Oct 2010
Accepted: 07 Jan 2011
Published online: 23 Aug 2014 *