Intelligent Optimisation of Heat Treatment Strategies for Additively Manufactured Maraging Steel

Urquhart, Neil; Kourousis, Kyriakos; Tingas, Stathis

Abstract

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.

Citation

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