Total oxygen prediction model of ultra-low carbon aluminum killed steel in RH treatment and its application

SUN Yan-hui; ZHANG Lin; NI You-jin; XU Zhong-bo; CAI Kai-ke

doi:10.13374/j.issn1001-053x.2009.08.006

Volume 31 Issue 8

Aug. 2021

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Article Navigation > Chinese Journal of Engineering > 2009 > 31(8): 974-977,1012

SUN Yan-hui, ZHANG Lin, NI You-jin, XU Zhong-bo, CAI Kai-ke. Total oxygen prediction model of ultra-low carbon aluminum killed steel in RH treatment and its application[J]. Chinese Journal of Engineering, 2009, 31(8): 974-977,1012. doi: 10.13374/j.issn1001-053x.2009.08.006

Citation:

SUN Yan-hui, ZHANG Lin, NI You-jin, XU Zhong-bo, CAI Kai-ke. Total oxygen prediction model of ultra-low carbon aluminum killed steel in RH treatment and its application[J]. Chinese Journal of Engineering, 2009, 31(8): 974-977,1012. doi: 10.13374/j.issn1001-053x.2009.08.006

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Total oxygen prediction model of ultra-low carbon aluminum killed steel in RH treatment and its application

doi: 10.13374/j.issn1001-053x.2009.08.006

School of Metallurgical and Ecological Engineering, University of Science and Technology Beijing, Beijing 100083, China

Received Date: 2008-10-14
Available Online: 2021-08-09

Abstract

Abstract

Based on the experimental data of ultra-low carbon aluminum killed steel in a 300 t ladle of RH treatment, a model for predicting the total quantitatively oxygen content of molten steel was established. Some factors such as treatment time, argon flow rate, molten steel circulation rate, snorkel diameter, FeO and MnO content in ladle slag were considered in the model. Potential improvements for RH operation were discussed. According to model analysis, the methods for promoting inclusion rising are increasing the argon flow and enlarging the snorkel diameter, but they have proper ranges.
- steelmaking,
- deoxidization,
- vacuum treatment,
- prediction model