Process-time Optimization of Vacuum Degassing Using a Genetic Alloy Design Approach
2014 (English)In: Materials, ISSN 1996-1944, Vol. 7, no 12, 7997-8011 p.Article in journal (Refereed) Published
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
2014. Vol. 7, no 12, 7997-8011 p.
genetic algorithm, computational thermodynamics, vacuum degassing, materials by design, steelmaking
IdentifiersURN: urn:nbn:se:kth:diva-159128DOI: 10.3390/ma7127997ISI: 000346796800023ScopusID: 2-s2.0-84921302555OAI: oai:DiVA.org:kth-159128DiVA: diva2:783708
QC 201501272015-01-272015-01-222016-08-25Bibliographically approved