University of Lincoln
Browse

A new holistic systems approach to the design of heat treated alloy steels using a biologically inspired multi-objective optimisation algorithm

Version 4 2024-03-12, 12:52
Version 3 2023-10-29, 09:26
journal contribution
posted on 2024-03-12, 12:52 authored by Jun 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)

ISSN

0952-1976

Date Submitted

2014-09-19

Date Accepted

2014-08-31

Date of First Publication

2014-09-29

Date of Final Publication

2015-01-01

Date Document First Uploaded

2015-04-13

ePrints ID

15008