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

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 procedur...

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Vydáno v:	Engineering applications of artificial intelligence Ročník 37; s. 103 - 114
Hlavní autoři:	Chen, Jun, Mahfouf, Mahdi, Sidahmed, Gaffour
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.01.2015
Témata:	Algorithms Alloy steels Artificial Immune Algorithm Artificial intelligence Design engineering Fuzzy Fuzzy modelling Fuzzy set theory Mechanical properties Multi-objective optimisation Optimization ‘Right-First-Time’ production of alloy steels Mn Mo C ROA Fuzzy modelling AIS Al RMSE Artificial Immune Algorithm BEP PAIA2 Cr MOP Multi-objective optimisation Abs S UTS Si V ‘Right-First-Time’ production of alloy steels IMOFM Ni FRBS
ISSN:	0952-1976, 1873-6769
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Abstract	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. •We model mechanical properties of heat treated alloy steel using interpretable fuzzy models.•We demonstrate how to locate the ‘best’ processing parameters and chemical compositions.•We demonstrate how to achieve certain mechanical properties.•We demonstrated a holistic systems approach to achieve ‘right-first-time’ production.•We unravel the power of multi-objective optimisation and interpretable fuzzy modelling.
AbstractList	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. 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. •We model mechanical properties of heat treated alloy steel using interpretable fuzzy models.•We demonstrate how to locate the ‘best’ processing parameters and chemical compositions.•We demonstrate how to achieve certain mechanical properties.•We demonstrated a holistic systems approach to achieve ‘right-first-time’ production.•We unravel the power of multi-objective optimisation and interpretable fuzzy modelling.
Author	Chen, Jun Sidahmed, Gaffour Mahfouf, Mahdi
Author_xml	– sequence: 1 givenname: Jun orcidid: 0000-0002-8545-2924 surname: Chen fullname: Chen, Jun email: juchen@lincoln.ac.uk organization: School of Engineering, University of Lincoln, Brayford Pool, Lincoln LN6 7TS, UK – sequence: 2 givenname: Mahdi surname: Mahfouf fullname: Mahfouf, Mahdi email: m.mahfouf@shef.ac.uk organization: Department of Automatic Control and Systems Engineering, University of Sheffield, Sheffield S1 3JD, UK – sequence: 3 givenname: Gaffour surname: Sidahmed fullname: Sidahmed, Gaffour email: gaffoursid@yahoo.com organization: Sonatrach-Divicion AVAL Downstream Activity, Oran, Algeria
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Keywords	Mn Mo C ROA Fuzzy modelling AIS Al RMSE Artificial Immune Algorithm BEP PAIA2 Cr MOP Multi-objective optimisation Abs S UTS Si V ‘Right-First-Time’ production of alloy steels IMOFM Ni FRBS
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SubjectTerms	Algorithms Alloy steels Artificial Immune Algorithm Artificial intelligence Design engineering Fuzzy Fuzzy modelling Fuzzy set theory Mechanical properties Multi-objective optimisation Optimization ‘Right-First-Time’ production of alloy steels
Title	A new holistic systems approach to the design of heat treated alloy steels using a biologically inspired multi-objective optimisation algorithm
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