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

Journal article (2014)
Department
Aerospace Structures & Materials (Aerospace Engineering) (TU Delft)
Copyright: 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.
DOI: https://doi.org/doi:10.3390/ma7127997
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Published Date

14-12-2014

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Source:

Materials, 7 (12), 2014

Faculty

Aerospace Engineering

Department

Aerospace Structures & Materials

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.

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