Abstract
The need for higher production rates and lower production cost emphasized the need to increase the rate of metal removal on metal cutting machine tools. This is however, limited by the different technical and technological constraints of the machining process so that the problem has to be handled as an optimization to determining the optimum values of the machining parameters. Several optimization techniques have been developed to solve this problem such as linear and non linear programming methods. However, due to the complexity of the mathematical models and the relatively large number of constraints involved, there is no obvious solution. This paper introduces a developed algorithm and compared to one of the well known iteration method that is the Sequential Unconstrained Minimization Technique (SUMT). The comparison through an example problem shows that the developed algorithm is more efficient, accurate, as well as quicker the optimum solution.
Reference10 articles.
1. Ostwald, P. F.;” Cost estimating”, 2nd ed., Prentice-Hall Inc., Englewood Cliffs, New Jersey,(1984).
2. Cowton, C.J. and Wirth, A.;” On the economics of cutting tools “, Int. J. Prod. Res., Vol. 31, No. 10,(1993), PP. 2441-2446.
3. Opas, J.; Kanerva, F.; and Mautyal, M.;” Automatic process plan generation in an operative process planning system”, Int. J. Prod. Res. Vol. 32, No. 6, (1994), PP. 1347-1363.
4. Koulamas, C.;” Operation sequencing and machining economics”, Int. J. Prod. Res., Vol. 31, No. 4, (1993), PP. 957-975.
5. El-Hakim, M.A; El-Awan, A. M; and El-Sabbage, A.S.;” A computer program of the optimization of machining variables”,Computer and Indus. Eng., Vol. 7, No. 4, (1983), PP. 317-336.
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献