Interaction of magnesia-carbon refractory with metallic iron under flash ironmaking conditions

Sarkar, Rahul; Nash, Barbara P.; Sohn, Hong Yong

doi:10.1016/j.jeurceramsoc.2019.09.019

Cited by 10 publications

(2 citation statements)

References 27 publications

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“…A critical step in developing prediction models is the local mass transfer between the lining and slag/metal. This has to date been treated by semiempirical models Bai et al, (2022); Sarkar, Nash, and Sohn, 2020;Wang et al, 2022). Wang et al, (2022) applied 3D computational fluid dynamics (CFD) and their predictions seemed to agree with observations.…”

Section: Previous Work On Ladle Lining Erosionmentioning

confidence: 99%

“…The heat balance has been studied in some specialized works (Çamdali and Tunç, 2006;Glaser, Görnerup, and Sichen, 2011;Zimmer et al, 2008;Duan et al, 2018;Zhang et al, 2009). The effect of slag composition has been studied in multiple works (Bai et al, 2022;Jansson, 2008;Kasimagwa, Brabie, and Jönsson, 2014;Mattila, Vatanen, and Harkki, 2002;Sarkar, Nash, and Sohn, 2020;Sheshukov et al, 2016;Zhu et al, 2018). A critical step in developing prediction models is the local mass transfer between the lining and slag/metal.…”

Section: Previous Work On Ladle Lining Erosionmentioning

confidence: 99%

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A pragmatical physics-based model for predicting ladle lifetime

Johansen,

Levfall,

Duran

2024

J. S. Afr. Inst. Min. Metall.

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In this paper we develop a physics-based model for lining erosion in steel ladles. The model predicts the temperature evolution in the liquid slag, steel, refractory bricks, and outer steel shell of the ladle. The flow of slag and steel is due to forced convection induced by inert gas injection, vacuum treatment (extreme bubble expansion), natural convection, and waves caused by the gas stirring. The lining erosion takes place by dissolution of refractory elements into the steel or slag. The mass and heat transfer coefficients inside the ladle during gas stirring are modelled based on wall functions which take the distribution of wall shear velocities as a critical input. The wall shear velocities are obtained from computational fluid dynamics (CFD) simulations for a sample of scenarios, spanning out the operational space, and a model is developed using curve fitting. The model is capable of reproducing both thermal and erosion evolution well. Deviations between model predictions and industrial data are discussed. The model is fast and has been tested successfully in a 'semi-online' application. The model source code is available to the public at [https://github.com/SINTEF/refractorywear].

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