Optimisation of machining parameters in multi-pass turnings using ant colony optimisations
by S. Xie; Y. Guo
International Journal of Machining and Machinability of Materials (IJMMM), Vol. 11, No. 2, 2012

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.

Online publication date: Sat, 23-Aug-2014

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Machining and Machinability of Materials (IJMMM):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com