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Optimization of Oxygen Injection Conditions with Different Molten Steel Levels in the EAF Refining Process by CFD Simulation
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Document Title
Optimization of Oxygen Injection Conditions with Different Molten Steel Levels in the EAF Refining Process by CFD Simulation
Author
Thongjitr P. Kowitwarangkul P. Pratumwal Y. Otarawanna S.
Affiliations
The Sirindhorn International Thai-German Graduate School of Engineering (TGGS) King Mongkut抯 University of Technology North Bangkok (KMUTNB) Bangkok 10800 Thailand; National Metal and Materials Technology Center (MTEC) National Science and Technology Development Agency (NSTDA) Pathum Thani 12120 Thailand
Type
Article
Source Title
Metals
ISSN
20754701
Year
2023
Volume
13
Issue
9
Open Access
All Open Access Gold Green
Publisher
Multidisciplinary Digital Publishing Institute (MDPI)
DOI
10.3390/met13091507
Abstract
In electric arc furnace (EAF) steelmaking oxygen jets play a crucial role in controlling stirring ability chemical reactions and energy consumption. During the EAF lifetime refractory wear leads to a decrease in the molten steel level and an increase in the nozzle-to-steel distance thereby negatively affecting the overall energy efficiency of the process. The objective of this study is to optimize the energy efficiency of the EAF refining process by adjusting the nozzle flow conditions and conducting an analysis of jet performance using computational fluid dynamics (CFD) simulation. Three types of injection jets were considered: the conventional jet the CH4 coherent jet and the CH4 + O2 coherent jet. The findings reveal that the shrouded flame of the coherent jet enhances jet performance by maintaining the maximum velocity extending the potential core length and increasing the penetration depth in the molten steel bath. To maintain the jet performance in response to an increased nozzle-to-steel distance resulting from refractory wear transitions from the conventional jet to the CH4 coherent jet and the CH4 + O2 coherent jet are recommended once the nozzle-to-steel distance increases from its initial level of 1000 mm to 1500 mm and 2000 mm respectively. ? 2023 by the authors.
Industrial Classification
Knowledge Taxonomy Level 1
Knowledge Taxonomy Level 2
Knowledge Taxonomy Level 3
License
CC BY
Rights
Authors
Publication Source
WOS