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Process-time Optimization of Vacuum Degassing Using a Genetic Alloy Design Approach
KTH, School of Industrial Engineering and Management (ITM), Materials Science and Engineering.
Delft University of Technology, The Netherlands.
KTH, School of Industrial Engineering and Management (ITM), Materials Science and Engineering. Thermo-Calc Software AB, Stockholm.
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2014 (English)In: Materials, ISSN 1996-1944, Vol. 7, 7997-8011 p.Article in journal (Refereed) Published
Abstract [en]

This paper demonstrates the use of a new model consisting of a genetic algorithm in combination with thermodynamic calculations and analytical process models to minimize the processing time during a vacuum degassing treatment of liquid steel. The model sets multiple simultaneous targets for final S, N, O, Si and Al levels and uses the total slag mass, the slag composition, the steel composition and the start temperature as optimization variables. The predicted optimal conditions agree well with industrial practice. For those conditions leading to the shortest process time the target compositions for S, N and O are reached almost simultaneously.

Place, publisher, year, edition, pages
MDPI , 2014. Vol. 7, 7997-8011 p.
Keyword [en]
genetic algorithm; computational thermodynamics; vacuum degassing; materials by design; steelmaking
National Category
Metallurgy and Metallic Materials
Identifiers
URN: urn:nbn:se:kth:diva-191234DOI: 10.3390/ma7127997ISI: 000346796800023OAI: oai:DiVA.org:kth-191234DiVA: diva2:955650
Note

QC 20160829

Available from: 2016-08-25 Created: 2016-08-25 Last updated: 2016-08-29Bibliographically approved

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Dilner, DavidMao, HuahaiSelleby, Malin
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