Multi-objective Evolutionary Algorithms Applied to Machining of Materials with Dynamically Changing Properties

Mehnen, J.^{1, a}; Roy, R.^{1, b}

1)

Decision Engineering Centre, University Cranfield, Cranfield, United Kingdom

a) j.mehnen@cranfield.ac.uk; b) r.roy@cranfield.ac.uk

Kurzfassung

Gradient materials consist of one type of homogenous material with continuously varying properties. Gradient materials can be produced by advanced forging techniques. Changing material properties introduce dynamics in the machining process. In order to keep the machining process stable and efficient, the process parameters have to be chosen optimally at any time. This leads to dynamic multi-objective optimisation. The paper presents an explicit mathematical turning model, which describes the machining process of gradient material. Two dynamic multi-objective evolutionary optimisation algorithms are introduced. A restart strategy and a completely dynamic NSGA-II are tested on the dynamic machining model and are analysed comprehensively.

Schlüsselwörter

Dynamic Multi-objective Evolutionary Optimisation, Gradient Material

Veröffentlichung

In: Proceedings of the 20th International Conference on Computer-Aided, Production Engineering, 6.6.-8.6. 2007, Glasgow, UK, De Silva, A.; Harrison, D. K. (Hrsg.), ISBN 978-1-905866-14-4, S. 13-22