Results 151 to 160 of about 105,836 (304)
Ternary Blends for Self-Compacting Mortars Production Composed by Electric Arc Furnace Dust and Other Industrial by-Products. [PDF]
Materials (Basel), 2022 López-Uceda A +5 more
europepmc +1 more source
steel research international, EarlyView.This study validates a recycling pathway for converting interconnect assemblies from end‐of‐life SOC stacks into commercial‐grade AISI 304 steels. Using scrap‐based steelmaking operations, austenitic cast steels with <4.0% δ‐ferrite are successfully produced.
Jeraldine Lastam +7 more
wiley +1 more source
Leaching and Geochemical Modelling of an Electric Arc Furnace (EAF) and Ladle Slag Heap. [PDF]
Toxics, 2022 Loncnar M +4 more
europepmc +1 more source
steel research international, EarlyView.The study investigates the influence of DED‐Arc/M versus casting on the microstructure and material properties of X40CrMoV5‐1 (AISI H13) hot‐work tool steel. DED‐Arc/M yields finer microstructures, superior mechanical strength, and ductility, but slightly reduced thermal conductivity.
Ulf Ziesing +4 more
wiley +1 more source
Three-dimensional computational fluid dynamics analysis of an electric submerged arc furnace. [PDF]
Sci Rep, 2021 Karalis K +5 more
europepmc +1 more source
Conceptual design studies and experiments related to cavity exhaust systems for nuclear light bulb configurations [PDF]
Investigations of various phases of gaseous nuclear rocket technology have been conducted. The principal research efforts have recently been directed toward the closed-cycle, vortex-stabilized nuclear light bulb engine and toward a small-scale fissioning
Kendall, J. S., Stoeffler, R. C.
core +1 more source
steel research international, EarlyView.This study uses coupled computational fluid dynamic‐discrete element method (CFD–DEM) simulations to investigate biomass particle injection through a shrouded lance in electric arc furnaces (EAFs). It examines how biomass properties, feed rate, and lance design affect particle dispersion and delivery efficiency.
Tiago F. Lins, Allan Runstedtler
wiley +1 more source
Attention-Based Deep Recurrent Neural Network to Forecast the Temperature Behavior of an Electric Arc Furnace Side-Wall. [PDF]
Sensors (Basel), 2022 Godoy-Rojas DF +7 more
europepmc +1 more source
steel research international, EarlyView.The melting behavior of hot briquetted iron (HBI) is observed and compared with FactSage computing simulation. When using HBI in an electric arc furnace process, a proper design of intrinsic carbon content in HBI, charging ratio of HBI, and addition of lime are proposed to be essential to control the slag volume, maintain slag basicity, and mitigate ...
Min Joo Lee, Joo Hyun Park
wiley +1 more source
Литьë и металлургия, 2003 There is developed the model of calculation of the material melting balance in the arc steel-making furnace, allowing to determine mass of liquid steel of fluid melting in furnace, mass of liquid metal in a bowl after its discharging out of furnace and ...
A. G. Afanasiadi +5 more
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