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

Materials

David Dilner²  Qi Lu¹  Huahai Mao²  Wei Xu¹  Sybrand van der Zwaag¹  Malin Selleby² 

[1] Novel Aerospace Materials group, Faculty of Aerospace Engineering, Delft University of Technology, Kluyverweg 1, 2629 HS Delft, The Netherlands; E-Mails:;Materials Science and Engineering, KTH Royal Institute of Technology, Brinellvägen 23, SE-100 44 Stockholm, Sweden; E-Mails:

关键词: genetic algorithm;    computational thermodynamics;    vacuum degassing;    materials by design;    steelmaking;   

DOI  :  10.3390/ma7127997

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2014 by the authors; licensee MDPI, Basel, Switzerland.