Numerical Study on Heat Transfer Characteristic of Hot Metal Transportation before EAF Steelmaking Process DOI Creative Commons
Weizhen Chen, Hang Hu, Shuai Wang

et al.

Metals, Journal Year: 2024, Volume and Issue: 14(6), P. 673 - 673

Published: June 6, 2024

The temperature of hot metal (HM) is crucial for the energy input and smelting in electric arc furnace (EAF) steelmaking process with HM scrap as charge structure. However, due to influence many factors heat dissipation transportation before EAF process, drop charged usually fluctuating uncertain. This situation not conducive control optimization process. In this paper, a three-dimensional numerical model 90-ton ladle established simulate transfer characteristic through ANSYS Fluent 2023 verified by on-the-spot testing sample analysis. effects ambient temperature, air velocity, slag thickness cover on are investigated quantitatively analyzed 30 schemes. results indicate that most influential factor, followed thickness, velocity temperature. case 50 min transport time, 55.2, 15.06, 12.08, 10.38, 10.29 10.26 °C when 0, 50, 100, 150, 200 250 mm, respectively. While covered slag, can also greatly reduce drop. Based simulated data, prediction obtained multi-factor coupling analysis mathematical fitting. study help develop targeted insulation measures determine HM, which expected deep energy-saving

Language: Английский

Association Rules Mining for Oxygen Consumption Reduction in Basic Oxygen Furnace Steelmaking Process DOI
Ning Liu, Lingzhi Yang,

Zhu Guo-fu

et al.

˜The œminerals, metals & materials series, Journal Year: 2025, Volume and Issue: unknown, P. 259 - 268

Published: Jan. 1, 2025

Language: Английский

Citations

0
Life Cycle Assessment of Tensile Specimens of Stainless Steel Obtained by Additive Manufacturing versus Conventional Manufacturing DOI

Germ醤 Omar Barrionuevo,

Juan Andrade-Garz髇,

Liliana Llatance-Guevara

et al.

Deleted Journal, Journal Year: 2025, Volume and Issue: 2(1), P. 10004 - 10004

Published: Jan. 1, 2025

Language: Английский

Citations

0
Energy saving model for related processes in steelmaking DOI Creative Commons

W. Weishu,

L. Shuailong,

Weihui Xu

et al.

Izvestiya Ferrous Metallurgy, Journal Year: 2024, Volume and Issue: 67(3), P. 270 - 282

Published: June 16, 2024

In the development of advanced energy saving technologies in metallurgical industry, a comprehensive approach to managing flows is crucial. This article presents an in-depth analysis steelmaking and industry China Russia, focusing on evolution current shortcomings methods processes. The authors thoroughly analyze various technological processes, including sintering, coking, pellet production, iron production blast furnaces, steel oxygen converters electric arc as well rolling, identifying significant potential for enhancing efficiency reducing harmful emissions. main outcome research structural models processes based concept “temperature matching, cascade utilization, global linkage”, covering key stages steelmaking. These provide detailed descriptions role interrelation each process within complete cycle combine into model process. includes not only specific operations characteristics stage but also explains how these interact depend other, forming integrated interconnected system production. encompasses temperature-pressure links, providing theoretical basis mathematical design corresponding computer applications. important understanding optimizing entire contributing its ecological efficiency.

Language: Английский

Citations

0
Numerical Study on Heat Transfer Characteristic of Hot Metal Transportation before EAF Steelmaking Process DOI Creative Commons
Weizhen Chen, Hang Hu, Shuai Wang

et al.

Metals, Journal Year: 2024, Volume and Issue: 14(6), P. 673 - 673

Published: June 6, 2024

The temperature of hot metal (HM) is crucial for the energy input and smelting in electric arc furnace (EAF) steelmaking process with HM scrap as charge structure. However, due to influence many factors heat dissipation transportation before EAF process, drop charged usually fluctuating uncertain. This situation not conducive control optimization process. In this paper, a three-dimensional numerical model 90-ton ladle established simulate transfer characteristic through ANSYS Fluent 2023 verified by on-the-spot testing sample analysis. effects ambient temperature, air velocity, slag thickness cover on are investigated quantitatively analyzed 30 schemes. results indicate that most influential factor, followed thickness, velocity temperature. case 50 min transport time, 55.2, 15.06, 12.08, 10.38, 10.29 10.26 °C when 0, 50, 100, 150, 200 250 mm, respectively. While covered slag, can also greatly reduce drop. Based simulated data, prediction obtained multi-factor coupling analysis mathematical fitting. study help develop targeted insulation measures determine HM, which expected deep energy-saving

Language: Английский

Citations

0