[HTML][HTML] To what extent could biochar replace coal and coke in steel industries?

S Safarian - Fuel, 2023 - Elsevier
The iron and steel making is considered among the biggest industries which run the world.
This industry contributes around 20% of global industrial-sector energy consumption that is …

A review of simulation and numerical modeling of electric arc furnace (EAF) and its processes

MM Abadi, H Tang, MM Rashidi - Heliyon, 2024 - cell.com
Abstract Electric Arc Furnaces (EAFs) play a pivotal part in the steel industry, offering a
versatile of producing high-quality steel. This paper conducts an in-depth examination of the …

Effect of hot metal charging on economic and environmental indices of electric arc furnace steelmaking in China

B Tian, G Wei, X Li, R Zhu, H Bai, W Tian… - Journal of Cleaner …, 2022 - Elsevier
Hot metal (HM) charging electric arc furnaces (EAF) with good production indices and
economic benefits have been widely used in China. In this study, the economic and …

[HTML][HTML] Data-driven modelling and optimization of energy consumption in EAF

S Tomažič, G Andonovski, I Škrjanc, V Logar - Metals, 2022 - mdpi.com
In the steel industry, the optimization of production processes has become increasingly
important in recent years. Large amounts of historical data and various machine learning …

A forty years scientometric investigation of artificial intelligence for fluid-flow and heat-transfer (AIFH) during 1982 and 2022

S Ghalambaz, M Abbaszadeh, I Sadrehaghighi… - … Applications of Artificial …, 2024 - Elsevier
A scientometric approach is utilized to investigate the dynamic maps of relationships among
researchers, institutes, and countries in the field of Artificial Intelligence for Fluid-flow and …

Effects of fuel injection and energy efficiency on the production and environmental parameters of electric arc furnace-heat recovery systems

B Tian, G Wei, H Hu, R Zhu, H Bai, Z Wang… - Journal of Cleaner …, 2023 - Elsevier
A stoichiometric model of an electric arc furnace (EAF)-heat recovery system was
constructed to display material, energy, and exergy behaviors, as well as production and …

[HTML][HTML] Prediction interval soft sensor for dissolved oxygen content estimation in an electric arc furnace

A Blažič, I Škrjanc, V Logar - Applied Soft Computing, 2024 - Elsevier
In this study, a novel soft sensor modeling approach using Takagi–Sugeno (TS) fuzzy
models and Prediction Intervals (PIs) is presented to quantify uncertainties in Electric Arc …

The behavior of direct reduced iron in the electric arc furnace hotspot

A Pfeiffer, D Ernst, H Zheng, G Wimmer, J Schenk - Metals, 2023 - mdpi.com
Hydrogen-based direct reduction is a promising technology for CO2 lean steelmaking. The
electric arc furnace is the most relevant aggregate for processing direct reduced iron (DRI) …

[HTML][HTML] Effect of location on green steel production using Australian resources

Y Rhee, K O'Neill, SZS Al Ghafri, EF May… - International Journal of …, 2024 - Elsevier
Hydrogen is being increasingly considered as a chemical feedstock and energy storage
vector within the iron and steel industry. This study compares the cost and CO 2 emissions …

[HTML][HTML] Prediction model of End-point phosphorus content in EAF steelmaking based on BP neural network with periodical data optimization

Y Zou, L Yang, B Li, Z Yan, Z Li, S Wang, Y Guo - Metals, 2022 - mdpi.com
The phosphorus (P) content of molten steel is of great importance for the quality of steel
products in the electric arc furnace (EAF) steelmaking process. At present, the initial …