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Materials 2014, 7(12), 7997-8011; doi:10.3390/ma7127997

Process-time Optimization of Vacuum Degassing Using a Genetic Alloy Design Approach

1
Materials Science and Engineering, KTH Royal Institute of Technology, Brinellvägen 23, SE-100 44 Stockholm, Sweden
2
Novel Aerospace Materials group, Faculty of Aerospace Engineering, Delft University of Technology, Kluyverweg 1, 2629 HS Delft, The Netherlands
3
Thermo-Calc Software AB, Norra Stationsgatan 93, SE-113 64 Stockholm, Sweden
4
ArcelorMittal Globle R&D Gent, J.F. Kennedylaan 3, 9060 Zelzate, Belgium
*
Author to whom correspondence should be addressed.
Received: 29 September 2014 / Revised: 23 November 2014 / Accepted: 3 December 2014 / Published: 10 December 2014
(This article belongs to the Special Issue Steels)
View Full-Text   |   Download PDF [1132 KB, uploaded 10 December 2014]   |  

Abstract

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. View Full-Text
Keywords: genetic algorithm; computational thermodynamics; vacuum degassing; materials by design; steelmaking genetic algorithm; computational thermodynamics; vacuum degassing; materials by design; steelmaking
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Dilner, D.; Lu, Q.; Mao, H.; Xu, W.; van der Zwaag, S.; Selleby, M. Process-time Optimization of Vacuum Degassing Using a Genetic Alloy Design Approach. Materials 2014, 7, 7997-8011.

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