Results 151 to 160 of about 3,722 (261)

Evaluation of testing approaches for constituent leaching from electric arc furnace (EAF) slags. [PDF]

open access: yesJ Environ Manage
Yu S   +5 more
europepmc   +1 more source

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

open access: yessteel 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

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

open access: yessteel 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   +4 more
wiley   +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

open access: yessteel 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   +7 more
wiley   +1 more source

The Waelz Slag from Electric Arc Furnace Dust Processing: Characterization and Magnetic Separation Studies. [PDF]

open access: yesMaterials (Basel)
Grudinsky P   +5 more
europepmc   +1 more source

A Novel Approach to Energy Management in Electric Steelworks

open access: yessteel 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   +12 more
wiley   +1 more source

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