A novel dynamic operation optimization method based on multiobjective deep reinforcement learning for steelmaking process

C Liu, L Tang, C Zhao - IEEE Transactions on Neural Networks …, 2023 - ieeexplore.ieee.org
This article studies a dynamic operation optimization problem for a steelmaking process.
The problem is defined to determine optimal operation parameters that bring smelting …

Method for Dynamic Prediction of Oxygen Demand in Steelmaking Process Based on BOF Technology

K Zhang, Z Zheng, L Zhang, Y Liu, S Chen - Processes, 2023 - mdpi.com
Oxygen is an important energy medium in the steelmaking process. The accurate dynamic
prediction of oxygen demand is needed to guarantee molten steel quality, improve the …

Application of neural network in steelmaking and continuous casting: A review

C Zhang - Ironmaking & Steelmaking, 2024 - journals.sagepub.com
With the improvement of computer computing power and the development of big data
technology, neural networks have rapidly developed and been effectively applied in multiple …

A dynamic mixed-control model for BOF metal–slag–gas reactions

J Biswas, S Ghosh, NB Ballal, S Basu - Metallurgical and Materials …, 2021 - Springer
Basic oxygen steelmaking has been the interest of research for several decades due to its
complex and fast process dynamics. To predict the evolution of slag–metal composition and …

A dynamic optimization framework for basic oxygen furnace operation

D Dering, CLE Swartz, N Dogan - Chemical Engineering Science, 2021 - Elsevier
About 70% of the steel used worldwide is produced via the Basic Oxygen Furnace (BOF).
This process has limited automation, and normal operation relies on invaluable operators' …

Kinetic model of dephosphorization in the new double slag converter steelmaking process

R Zhang, J Yang, W Yang, H Sun - Ironmaking & Steelmaking, 2021 - Taylor & Francis
The kinetic investigation of the dephosphorization in the new double slag converter
steelmaking process was carried out based on the coupled reactions model combining with …

Information-modeling forecasting system for thermal mode of top converter lance

OA Zhul'kovskii, SP Panteikov, II Zhul'kovskaya - Steel in Translation, 2022 - Springer
On the basis of mathematical modeling and object-oriented programming, a computer
information-modeling forecasting system (IMFS) for thermal mode of top lance barrel (TLB) …

Effect of bottom stirring on bath mixing and transfer behavior during scrap melting in BOF steelmaking: A review

Z Wang, S Chen, C Wu, N Chen, J Li… - … Materials and Processes, 2024 - degruyter.com
Basic oxygen furnace (BOF) steelmaking is a widely used method for steelmaking
production, and the bath stirring has a significant influence on dynamics of bath flow and …

Decarburization of Bloated Droplets: An Experimental Study to Understand the Kinetics of Decarburization of Metallic Iron Droplets in FeO Containing CaO-SiO2 …

J Biswas, K Gu, KS Coley - Metallurgical and Materials Transactions B, 2021 - Springer
Bloating of metal droplets in the BOF is important in develo** fundamental models of the
process. Bloating is controlled by the decarburization behavior of individual metal droplets in …

Oxygen demand forecasting and optimal scheduling of the oxygen gas systems in iron-and steel-making enterprises

Z Cheng, P Zhang, L Wang - Applied Sciences, 2023 - mdpi.com
Due to the imbalance between the supply and demand of oxygen, the oxygen systems of
iron-and steel-making enterprises in China have problems with high oxygen emissions and …