Determination of optimal subdivision of depth of cut in multipass turning with constraints
- 1 September 1995
- journal article
- research article
- Published by Taylor & Francis Ltd in International Journal of Production Research
- Vol. 33 (9), 2555-2565
- https://doi.org/10.1080/00207549508904831
Abstract
Optimal subdivision of total depth of cut during cost optimization in multipass turning is an important decision along with the selection of speed and feed. In this paper a new approach for the determination of the optimal subdivision of depth of cut is presented. The total production cost minimization is achieved by summation of the minimum costs of individual rough passes and the finish pass. The cost of each rough pass or finish pass is independently minimized. The optimal subdivision of total depth of cut is obtained using an integer programming model. The resulting subdivision of depth of cut yields a lower minimum cost than that obtained by using the commonly practised strategy of having minimum depth of cut in the finish pass and removing the remaining depth of cut in number of rough passes of equal size.Keywords
This publication has 7 references indexed in Scilit:
- Optimization of machining conditions with practical constraintsInternational Journal of Production Research, 1992
- Machine parameter selection for turning with constraints: an analytical approach based on geometric programmingInternational Journal of Production Research, 1991
- The optimal subdivision of cut in multi-pass machining operationsInternational Journal of Production Research, 1989
- Optimization of Multipass Turning With ConstraintsJournal of Engineering for Industry, 1981
- Optimization of multi-pass machining operationsInternational Journal of Production Research, 1978
- Optimization of Cutting Conditions for Multi-Pass Operations Considering Probabilistic Nature in Machining ProcessesJournal of Engineering for Industry, 1977
- Optimization of the Constrained Machining Economics Problem by Geometric ProgrammingJournal of Engineering for Industry, 1971