Results 151 to 160 of about 72,624 (284)

Temperature Prediction Using Multivariate Time Series Deep Learning in the Lining of an Electric Arc Furnace for Ferronickel Production. [PDF]

Sensors (Basel), 2021
Leon-Medina JX, Camacho J, Gutierrez-Osorio C, Salomón JE, Rueda B, Vargas W, Sofrony J, Restrepo-Calle F, Pedraza C, Tibaduiza D.   +9 more
europepmc   +1 more source

Development and Validation of a Next‐Generation Mechanistic Model of the Electric Arc Furnace

steel research international, EarlyView.
This study presents a next‐generation mechanistic model of the electric arc furnace (EAF). It describes equations for all crucial processes appearing during the steel‐recycling process in an EAF, i.e., thermal, mass, and chemical. The model was parameterized and validated using industrial EAF data.
Vito Logar, Igor Škrjanc
wiley   +1 more source

Synthesis of nanosized nickel zinc ferrite using electric arc furnace dust and ferrous pickle liquor. [PDF]

Sci Rep, 2021
Galal A, Sadek O, Soliman M, Ebrahim S, Anas M.   +4 more
europepmc   +1 more source

Investigation of the Reoxidation and Material Behavior of Directly Reduced Pellets and Fines Under Simulated Rail Transport Conditions

steel research international, EarlyView.
The study investigates the reoxidation behavior of DRI pellets (Midrex and H2‐reduced) under realistic conditions, considering the test parameters of temperature, humidity, storage duration, particle size (including fine fraction), and container geometry. The samples are analyzed based on mass changes.
Bernd Taferner, Johannes Schenk, Richard Schanner, Peter Gluschitz, Jan Eisbacher‐Lubensky   +4 more
wiley   +1 more source

Evaluation on the Microstructure and Durability of High-Strength Concrete Containing Electric Arc Furnace Oxidizing Slag. [PDF]

Materials (Basel), 2021
Yuan TF, Hong SH, Choi JS, Yoon YS.
europepmc   +1 more source

Reducing the use of Fossil Carbon and Fuels to Defossilize the Electric Steelmaking Route: Evaluation of the Effects of Alternative C‐Bearing Materials and Hydrogen in the Electric Arc Furnace

steel research international, EarlyView.
The experiments and simulations demonstrate that, in general, alternative carbon sources can decrease fossil CO2 without adversely impacting EAF process and product. High plastics and tires ratios cause unsafe conditions and poor slag foaming. Hydrogen in EAF burners decreases CO2 but increases water vapor, which can raise the hydrogen content in ...
Ismael Matino, Orlando Toscanelli, Antonella Zaccara, Aintzane Soto Larzabal, Asier Zubero Lombardia, Jon Hermosa, Tamara Rodríguez Durán, Valentina Colla   +7 more
wiley   +1 more source

Determination of the Chemical, Physical and Mechanical Characteristics of Electric Arc Furnace Slags and Environmental Evaluation of the Process for Their Utilization as an Aggregate in Bituminous Mixtures. [PDF]

Materials (Basel), 2021
Terrones-Saeta JM, Suárez-Macías J, Moreno-López ER, Corpas-Iglesias FA.   +3 more
europepmc   +1 more source

A Novel Approach to Energy Management in Electric Steelworks

steel research international, EarlyView.
Feed‐forward neural networks are exploited to estimate electric energy consumptions of the electric arc furnace and ladle furnace processes. The models are used to optimize production schedule so that more energy intensive grades are produced when the cost of energy is lower.
Valentina Colla, Stefano Dettori, Silvia Cateni, Marco Vannucci, Antonella Vignali, Claudio Mocci, Irene Dovichi, Davide Chionna, Lorenzo Vannini, Enrico Paluzzano, Costanzo Pietrosanti, Davide Onesti, Daniele Venier   +12 more
wiley   +1 more source

Assessing the environmental impact of electric arc furnace slags: comprehensive characterization and leaching analysis. [PDF]

RSC Adv
Heidarinejad Z, Farzadkia M, Mousavi SM.
europepmc   +1 more source

Decreasing the Environmental Impact of the Electric Steelmaking Route Through Advanced Modelling Techniques

steel research international, EarlyView.
Ensemble models are adopted to estimate the sterile content of scraps arriving to the scrap yard. Feed‐forward neural networks are exploited to estimate steel composition and temperature after Ladle furnace. The models are validated on data from two steelworks very satisfactory results and are inherently transferable to other steelworks, as they are ...
Valentina Colla, Antonella Zaccara, Stefano Dettori, Laura Laid, Ismael Matino, Silvia Cateni, Teresa Annunziata Branca, Lorenzo Vannini   +7 more
wiley   +1 more source