Results 161 to 170 of about 506,339 (256)

Stabilization of sulfate-rich soil with electric arc furnace slag

open access: yes
Texas soil is difficult to stabilize due to its unique combination of salts, crystals, and minerals. Conveniently, lime and cement stabilizers have been used to increase soil strength, hardness, and durability. However, in Texas, conventional stabilizers
Singleterry, Ruben
core  

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

Attention-Based Deep Recurrent Neural Network to Forecast the Temperature Behavior of an Electric Arc Furnace Side-Wall. [PDF]

open access: yesSensors (Basel), 2022
Godoy-Rojas DF   +7 more
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

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

Construction and Performance of Novel Oil Catalytic Materials from Electric Arc Furnace Dust. [PDF]

open access: yesMolecules
Wang YT   +9 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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