Results 81 to 90 of about 2,590 (211)
Optimizing Pig Iron Desulfurization Using Physics-Informed Neural Networks (PINNs)
Engineering ProceedingsThe aim of the presented research was to optimize a pig iron desulfurization process through data-driven machine learning methods. Utilizing historical data, chemical analysis of pig iron and slag, and the thermodynamics of the process including ...
Andrii Pylypenko +6 more
doaj +1 more source
steel research international, EarlyView.This study investigates the reduction of pure iron oxides and industrial iron ore using hydrogen gas as a reducing agent. Additionally, to determine whether the reduction process can be accelerated, electromagnetic fields of 50 Hz and 25 kHz were applied.
Mykyta Levchenko +5 more
wiley +1 more source
steel research international, EarlyView.The in situ agglomeration behavior of semisolid Al–silicate inclusions in Si‐killed steel is studied using high‐temperature confocal scanning laser microscopy. Particle motion and interparticle forces at the steel/argon interface are quantified and compared with a modified capillary interaction model.
Suwam Kumar +4 more
wiley +1 more source
steel research international, EarlyView.Hydrochar‐mill‐scale briquettes with varying C/O molar ratios (0.07–0.90) have been tested at 1650 °C to evaluate their slag foaming performance for electric arc furnace application. All seven briquette recipes developed succeed in promoting slag foaming.
Yu‐Chiao Lu +3 more
wiley +1 more source
End point prediction of basic oxygen furnace (BOF) steelmaking based on improved bat-neural network
Metalurgija, 2019 A mixed bat optimization algorithm based on chaos and differential evolution (CDEBA) is proposed for the endblow process of basic oxygen furnance (BOF) after sub-lance detection, and a prediction model based on BP neural network optimized by chaotic ...
H. Liu, S. Yao
doaj
Oxide Scale Morphology of Carbon Steels Under Novel Reheating Conditions
steel research international, EarlyView.This study focuses on the changes in oxide scale morphology formed under simulated hydrogen and oxy‐fuel reheating gas atmospheres in comparison to natural gas‐air reheating. Several different properties were analyzed, such as pore structure, ratios of iron oxides, adhesion, and distribution of alloying elements.
Juho Haapakangas +3 more
wiley +1 more source
Influence of Oxygen Contamination on the Genesis of Nonmetallic Inclusions in a Microalloyed Steel
steel research international, EarlyView.Oxygen contamination during melting of steels strongly affects the evolution of nonmetallic inclusions. Controlled remelting experiments, combined with SEM/EDS analysis and thermodynamic simulations, reveal how reoxidation promotes the transformation of alumina‐based inclusions into complex FeO–MnO oxides and other interactions.
Leandro Pianca Prandi +2 more
wiley +1 more source
Barriers to Steel Decarbonization
steel research international, EarlyView.Main identified barriers to steel decarbonization Carbon dioxide (CO2) emissions are a leading contributor to global climate change, necessitating urgent mitigation strategies. While various metrics—such as total national emissions, per‐capita output, and historical contributions—define responsibility, determining accountability remains complex ...
Pasquale Cavaliere
wiley +1 more source
RecyclingThis study evaluates the feasibility of using waste Bakelite thermoset as a slag foaming and iron oxide reduction agent in electric arc furnace (EAF) steelmaking.
Thanaporn Chandransu +2 more
doaj +1 more source
steel research international, EarlyView.This work uses high‐temperature dilatometry to examine how the tramp elements Cu, Ni, and Sn affect the deformability of non‐metallic inclusions and matrix in quench‐and‐temper steel. Mg‐bearing inclusions deform less than Mg‐free ones. Copper lowers formability. Nickel increases deformability.
Julian Cejka +3 more
wiley +1 more source