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Prediction of Hot Metal Temperature During Ladle Desulfurization Process

Author(s):Ahmed El Mahdi1, S. Fatima Hassan2, N. Ibrahim Khalil3

Affiliation: 1,2,3Department of Production Engineering 1,2,3University of Khartoum, Sudan

Page No: 27-39

Volume issue & Publishing Year: Volume 1 Issue 4- Dec 2024

Journal: International Journal of Advanced Multidisciplinary Application.(IJAMA)

ISSN NO: 3048-9350

DOI:

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Abstract:
In the steelmaking process, hot metal is transferred from the torpedo car to the ladle for desulfurization, a critical step aimed at reducing sulfur content in the metal to enhance product quality. This process significantly impacts the thermal profile of the hot metal, resulting in temperature changes that influence subsequent stages of production. However, continuous temperature measurement during desulfurization is not feasible due to technical limitations in sensor design and associated costs. As a result, temperature readings are typically available only at the beginning and end of the desulfurization process.This study addresses the need for continuous temperature monitoring by proposing a mathematical model for predicting the temperature of desulfurized hot metal throughout the process. The model integrates process parameters and heat transfer dynamics to estimate temperature variations in real-time, offering valuable insights into the thermal behavior during desulfurization. This predictive capability is essential for optimizing operational decisions and ensuring the desired temperature of the hot metal before it is poured from the ladle into the oxygen converter

Keywords: desulfurization process, temperature prediction, hot metal, ladle, mathematical modeling

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