A 2D Numerical Modeling Study of Slag Splashing in a Basic Oxygen Steelmaking Furnace

Wearing of the inner refractory lining in a basic oxygen steelmaking (BOS) furnace occurs due to the harsh operating conditions, which reduces the useful life of the refractories and incurs a significant cost component for relining. The lifespan can be prolonged by forming a protective coating layer on the refractory walls by using the retained slag splashing technique. In this study, an Eulerian-Eulerian multiphase computational fluid dynamics (CFD) model was developed to (i) identify the potential wear-prone zones in an industrial-scale BOS system during the supersonic oxygen blowing phase by quantifying the wall shear stress distributions and (ii) simulate the retained slag splashing process by introducing an inert gas to the retained slag mass to achieve a protective coating on the refractory walls. Two distinct lance head configurations comprising six nozzles and five nozzles were used to predict the potential wear-prone zones. Both the lance head designs and lance positions were found to influence the coating area. An increase in the retained slag volume was noted to augment the coating area substantially. An optimal lance position was identified within the physical constraints, wherein the maximum coated area was achieved for all operating conditions. The bottom bubbling process through the tuyeres on the furnace floor was also found to affect the wall coating performance.

Authors

Institutions

Publication Details

Journal
ACS Engineering Au
Published
2025-02-24
DOI
https://doi.org/10.1021/acsengineeringau.4c00039
Citations
2
Primary Topic
Metallurgical Processes and Thermodynamics
Type
article
Field-Weighted Citation Impact
1.43

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A 2D Numerical Modeling Study of Slag Splashing in a Basic Oxygen Steelmaking Furnace

Subhasish Mitra, Geoffrey M. Evans, Brian J. Monaghan, Raju Chowdhury et al.
2 citations
ACS Engineering Au
Metallurgical Processes and Thermodynamics
1.43
article

A 2D Numerical Modeling Study of Slag Splashing in a Basic Oxygen Steelmaking Furnace

Subhasish Mitra, Geoffrey M. Evans, Brian J. Monaghan, Raju Chowdhury, Tom Honeyands, David Scimone
article en
2 citations

Abstract

Wearing of the inner refractory lining in a basic oxygen steelmaking (BOS) furnace occurs due to the harsh operating conditions, which reduces the useful life of the refractories and incurs a significant cost component for relining. The lifespan can be prolonged by forming a protective coating layer on the refractory walls by using the retained slag splashing technique. In this study, an Eulerian-Eulerian multiphase computational fluid dynamics (CFD) model was developed to (i) identify the potential wear-prone zones in an industrial-scale BOS system during the supersonic oxygen blowing phase by quantifying the wall shear stress distributions and (ii) simulate the retained slag splashing process by introducing an inert gas to the retained slag mass to achieve a protective coating on the refractory walls. Two distinct lance head configurations comprising six nozzles and five nozzles were used to predict the potential wear-prone zones. Both the lance head designs and lance positions were found to influence the coating area. An increase in the retained slag volume was noted to augment the coating area substantially. An optimal lance position was identified within the physical constraints, wherein the maximum coated area was achieved for all operating conditions. The bottom bubbling process through the tuyeres on the furnace floor was also found to affect the wall coating performance.

ACS Engineering AuVol. 5(2)
University of Wollongong (AU)
Australian Research Council
Openalex Percentile: Top 22%
Metallurgical Processes and Thermodynamics
1.43
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.