Version 4 2024-03-12, 12:52Version 4 2024-03-12, 12:52
Version 3 2023-10-29, 09:26Version 3 2023-10-29, 09:26
journal contribution
posted on 2024-03-12, 12:52authored byJun Chen, Mahdi Mahfouf, Gaffour Sidahmed
<p>The primary objective of this paper is to introduce a new holistic approach to the design of alloy steels based on a biologically inspired multi-objective immune optimisation algorithm. To this aim, a modified population adaptive based immune algorithm (PAIA2) and a multi-stage optimisation procedure are introduced, which facilitate a systematic and integrated fuzzy knowledge extraction process. The extracted (interpretable) fuzzy models are able to fully describe the mechanical properties of the investigated alloy steels. With such knowledge in hand, locating the ‘best’ processing parameters and the corresponding chemical compositions to achieve certain pre-defined mechanical properties of steels is possible. The research has also enabled to unravel the power of multi-objective optimisation (MOP) for automating and simplifying the design of the heat treated alloy steels and hence to achieve ‘right-first-time’ production.</p>
Funding
EPSRC under Grant EP/F023464/1
Institute for Microstructural and Mechanical Process Engineering: The University of Sheffield (IMMPETUS)
History
School affiliated with
School of Engineering (Research Outputs)
Publication Title
Engineering Applications of Artificial Intelligence
Volume
37
Pages/Article Number
103-114
Publisher
Elsevier for Pergamon / International Federation of Automatic Control (IFAC)