Results 131 to 140 of about 1,406,707 (241)
A Novel Approach to Energy Management in Electric Steelworks
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
Electric Arc Furnace Dust Recycled in 7075 Aluminum Alloy Composites Fabricated by Spark Plasma Sintering (SPS). [PDF]
Soares E +9 more
europepmc +1 more source
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 +7 more
wiley +1 more source
Spent Mushroom Substrate and Electric Arc Furnace Dust Recycling by Carbothermic Reduction Method. [PDF]
Chang HH +5 more
europepmc +1 more source
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
Ternary Blends for Self-Compacting Mortars Production Composed by Electric Arc Furnace Dust and Other Industrial by-Products. [PDF]
López-Uceda A +5 more
europepmc +1 more source
H2 prereduction selectively metallizes Fe in UG2 chromite pellets at 1100°C, while silicon carbide becomes active at 1300°C to convert remaining Cr2O3 to carbides and promote Cr metallization. By separating the roles of H2 and SiC, the sequential route reaches up to 65.7% Cr metallization and suppresses in‐furnace CO generation by ≈75% versus ...
D. Coertzen +5 more
wiley +1 more source
Leaching and Geochemical Modelling of an Electric Arc Furnace (EAF) and Ladle Slag Heap. [PDF]
Loncnar M +4 more
europepmc +1 more source
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
Influence of Non-Metallic Inclusions on Bending Fatigue Strength of High-Quality Carbon Constructional Steel Heated in an Industrial Electric Arc Furnace. [PDF]
Lipiński T.
europepmc +1 more source

