Selection of Optimal Cutting Parameters in Parallel Turnings Using Genetic Heuristics
Optimal cutting parameters can lead to considerable savings in manufacturing fields. In this paper, to deal with the optimization problem of cutting parameters which aims to minimize the unit production cost (UC) in parallel turnings, we propose a novel optimization approach which divides this complicated problem into several sub-problems. Then a genetic algorithm (GA) is developed to search the optimal results for each sub-problem. Simulations show that the corresponding approach can find better results than previous approach to significantly reduce the production cost.
KeywordsParallel turning Cutting parameters Optimization Genetic algorithm
This work was supported by the Natural Science Foundation of Fujian Province of China (No. 2016J01735, JK2015025), and the Foundation for Young Professors of Jimei University, China (No. 2011C002).
- 10.Tang, L., Landers, R. Balakrishnan, S.N.: Parallel turning process parameter optimization based on a novel heuristic approach. J. Manuf. Sci. Eng.-Trans. ASME 130, 031002-031001-031012 (2008)Google Scholar
- 11.Xie, S., Pan, L.: Optimization of machining parameters for parallel turnings using estimation of distribution algorithms. In: 3rd International Conference on Advanced Engineering Materials and Technology, vols. 753–755, pp. 1192–1195. Trans Tech Publications Ltd., Switzerland (2013)Google Scholar