Data-driven soft sensors in blast furnace ironmaking: a survey

Y Luo, X Zhang, M Kano, L Deng, C Yang… - Frontiers of Information …, 2023 - Springer
The blast furnace is a highly energy-intensive, highly polluting, and extremely complex
reactor in the ironmaking process. Soft sensors are a key technology for predicting molten …

A novel committee machine to predict the quantity of impurities in hot metal produced in blast furnace

W Cardoso, R Di Felice - Computers & chemical engineering, 2022 - Elsevier
In recent years, interest in artificial intelligence and the integration of Industry 4.0
technologies to improve and monitor steel production conditions has increased. Every day …

[PDF][PDF] Modeling of artificial neural networks for silicon prediction in the cast iron production process

W Cardoso, R Di Felice, BN Dos Santos… - … journal of artificial …, 2022 - researchgate.net
The main way to produce cast iron is in the blast furnace. In the production of hot metal, the
control of silicon is important. Alumina and silica react chemically with limestone and …

Perspectives on the Sustainable Steel Production Process: A Critical Review of the Carbon Dioxide (CO2) to Methane (CH4) Conversion Process

W Cardoso, R Di Felice, RC Baptista - Sustainability: Cases and Studies in …, 2023 - Springer
Synthetic natural gas (SNG) can be obtained by methanation. Many thermodynamic reaction
details involved in this process are not yet fully known. In this chapter, a comprehensive …

Deposition of ti-based thin films on AISI 1020 steel substrates using the cathodic cage plasma deposition technique

RFB Silva, W Cardoso, LC Gontijo, BP Pimentel… - Materials …, 2023 - SciELO Brasil
The automotive industry is one of the largest industrial segments in the world market. The
exhaust system of motor vehicles is responsible for the emission and treatment of toxic …

Temperature prediction of submerged arc furnace in ironmaking industry based on residual spatial-temporal convolutional neural network

HX Liu, MJ Li, JQ Guo, XK Zhang, TC Hung - Energy, 2024 - Elsevier
The submerged arc furnace is widely regarded as one of the most promising ore smelting
technologies. However, the real-time monitoring of the multiple physical fields including …

Forecast of carbon consumption of a blast furnace using extreme learning machine and probabilistic reasoning

W Cardoso, R Di Felice - Chemical Engineering Transactions, 2022 - cetjournal.it
Blast furnaces are chemical metallurgical reactors for the production of pig iron and slag.
The raw materials used (metallic feedstock) are sinter, granulated ore and pellets. The main …

[PDF][PDF] Prediction of Sulfur in the Hot Metal based on Data Mining and Artificial Neural Networks.

W Cardoso, R di Felice - DATA, 2022 - scitepress.org
In recent years, interest in artificial intelligence and the integration of Industry 4.0
technologies to improve and monitor steel production conditions has increased. In the …

高炉炼铁过程数据驱动软测量技术研究综述

Y LUO, X ZHANG, M KANO, L DENG, C YANG… - Frontiers, 2023 - jzus.zju.edu.cn
在高能耗, 高污染, 极为复杂的冶炼过程中, 高炉是极为重要的反应器. 软测量技术是在线实时
预测反映高炉能耗和运行稳定性质量指标的关键技术, 在节能减排, 提高产品质量和带来经济 …

Effects of Sigma Phase Transformation on Corrosion Resistance in Duplex Stainless Steels

W Cardoso, DS Ribeiro, LR Santos, EA Cometti… - Brazilian Technology …, 2023 - Springer
Austenitic-ferritic stainless steels have a duplex microstructure consisting of a ferritic matrix
and islands of austenite, the volume fraction of which depends on the chemical composition …