The Open UniversitySkip to content
 

Parameter optimisation in constitutive equations for hot forging

Mulyadi, M.; Rist, M.A.; Edwards, L. and Brooks, J.W. (2006). Parameter optimisation in constitutive equations for hot forging. Journal of Materials Processing Technology, 177(1-3) pp. 311–314.

DOI (Digital Object Identifier) Link: http://dx.doi.org/10.1016/j.jmatprotec.2006.04.058
Google Scholar: Look up in Google Scholar

Abstract

Various methods for parameter optimisation in constitutive equations applied to the hot deformation of a popular alpha-beta titanium alloy have been examined. The use of direct search and gradient methods are shown to be effective, even with a limited dataset, and reliable confidence limits can be computed in each case. However, a hybrid approach, whereby genetic algorithms are used to find an initial parameter starting point, and then a direct search (simplex) method is applied to obtain a global minimum, is particularly promising. For comparison, an artificial neural network approach, which does not require the use of any constitutive equations, has also been implemented.

Item Type: Journal Article
ISSN: 0924-0136
Keywords: constitutive model; non-linear optimisation; confidence limit; neural network
Academic Unit/Department: Mathematics, Computing and Technology > Engineering & Innovation
Item ID: 6963
Depositing User: Martin Rist
Date Deposited: 22 Feb 2007
Last Modified: 02 Dec 2010 19:57
URI: http://oro.open.ac.uk/id/eprint/6963
Share this page:

Altmetrics

Scopus Citations

Actions (login may be required)

View Item
Report issue / request change

Policies | Disclaimer

© The Open University   + 44 (0)870 333 4340   general-enquiries@open.ac.uk