Prediction of blast furnace gas generation based on data quality improvement strategy

S Liu, W Sun, W Li, B Jin - Journal of Iron and Steel Research International, 2023 - Springer
The real-time energy flow data obtained in industrial production processes are usually of low
quality. It is difficult to accurately predict the short-term energy flow profile by using these …

Investigating the material properties of nodular cast iron from a data mining perspective

C Fragassa - Metals, 2022 - mdpi.com
Cast iron is a very common and useful metal alloy, characterized by its high carbon content
(> 4%) in the allotropic state of graphite. The correct shape and distribution of graphite are …

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 …

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 …

Support vector machine with robust low-rank learning for multi-label classification problems in the steelmaking process

Q Li, C Liu, Q Guo - Mathematics, 2022 - mdpi.com
In this paper, we present a novel support vector machine learning method for multi-label
classification in the steelmaking process. The steelmaking process involves complicated …

The Role of the Nurse in Diagnostic Imaging Tests

G Loriato, NH Leite, JL Junior, W Cardoso - Brazilian Technology …, 2023 - Springer
The role of nurses in radiology and diagnostic imaging departments is still very young, and
there is a significant discrepancy between nurses' attributions and prior knowledge of the …

Human Resource Management and Health and Safety Indicators

DS Ribeiro, W Cardoso, KP Guimarães… - Brazilian Technology …, 2023 - Springer
Around 250 million work accidents and 160 million work-related illnesses occur annually in
the world. Health and safety indicators are instruments that allow us to assess this scenario …

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 …

Inconel 625 Alloy Tubes: Manufacture and Applications

W Cardoso, DS Ribeiro, RB de Faria… - Brazilian Technology …, 2023 - Springer
Oil production in the deep sea is a challenge for the oil industry. The pipeline through which
the oil flows is subjected to a high tensile load by its own weight and is exposed to an …