Dr Neil Urquhart N.Urquhart@napier.ac.uk
Associate Professor
Dr Neil Urquhart N.Urquhart@napier.ac.uk
Associate Professor
Kyriakos Kourousis
Dr Stathis Tingas E.Tingas@napier.ac.uk
Associate Professor
Applying heat treatment to metal (heating to a specific temperature for a set duration) can alter its properties making it suitable for use in specific applications. Due to the costs of heating then testing the metal, it is desirable to minimise the number of such tests. The problem of finding a small set of heat treatments optimised to allow accurate interpolation of the remaining points is investigated in this paper. We propose an evolutionary algorithm ($HTEA$) to find a set of treatments that maximise the accuracy of the inference. We conclude that $HTEA$ is effective in recommending sets of heat treatments the results of which illuminate the relationship between heat treatments and the desired mechanical property.
Urquhart, N., Kourousis, K., & Tingas, S. (2025, September). Intelligent Optimisation of Heat Treatment Strategies for Additively Manufactured Maraging Steel. Presented at 24th UK Workshop on Computational Intelligence, Edinburgh
Presentation Conference Type | Conference Paper (published) |
---|---|
Conference Name | 24th UK Workshop on Computational Intelligence |
Start Date | Sep 3, 2025 |
End Date | Sep 5, 2025 |
Acceptance Date | Jul 1, 2025 |
Deposit Date | Jul 17, 2025 |
Publisher | Springer |
Peer Reviewed | Peer Reviewed |
This file is under embargo due to copyright reasons.
Contact repository@napier.ac.uk to request a copy for personal use.
Forum Proceedings - 2025 Hydrogen & Vector Fuels Policy Forum: Expert Insights, 6 May 2025
(2025)
Presentation / Conference Contribution
Optimisation of Aircraft Maintenance Schedules
(2025)
Presentation / Conference Contribution
Computational Investigation of Laminar Premixed Hydrogen/Ammonia Flames at Sub-Atmospheric Conditions
(2025)
Presentation / Conference Contribution
About Edinburgh Napier Research Repository
Administrator e-mail: repository@napier.ac.uk
This application uses the following open-source libraries:
Apache License Version 2.0 (http://www.apache.org/licenses/)
Apache License Version 2.0 (http://www.apache.org/licenses/)
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search