Process Modeling in Pyrometallurgical Engineering

• Kolejni autorzy: Saxen, Henrik (Redaktor), Ramírez-Argáez, Marco (Redaktor), Conejo, Alberto (Redaktor), Dutta, Abhishek (Redaktor)
• Format: Elektroniczne Rozdział
• Język: angielski
• Wydane: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
• Hasła przedmiotowe: Technology: general issues; steelmaking; oxygen consumption; GPR; prediction model; secondary refining; water model; mixing time; slag entrapment; stainless steel slag; heating time; Cr2O3; spinel; crystal size; processing maps; nickel-based alloy; flow behavior; arrhenius equation; hearth; drainage; PCA; analysis tool; pattern; tapholes; blast furnace; coke; carbon solution loss; numerical simulation; pellet pile; Discrete Element Method; porosity distribution; angle of repose; coordination number; bubble motion; interfacial phenomena; entrainment; moving path; arsenopyrite; arsenic removal; mechanism; roasting; arsenate; dust ash; arsenic recovery; titanium distribution ratio; thermodynamic model; ion-molecule coexistence theory; LF refining slags; electric arc furnace; simulation; process model; COREX; raceway zone; gas flow; COREX melter gasifier; mixed charging; burden layer structure; burden pile width; DEM; burden distribution; particle flow; validation; tire cord steel; TiN inclusion; solidification; segregation models; hot rolling; TOU electricity pricing; hot rolling planning; genetic algorithm; C-H2 smelting reduction furnace; double-row side nozzles; dimensional analysis; multiple linear regression; ironmaking blast furnace; coke bed; trickle flow; molten slag; liquid iron; SPH; charging system; mathematical model; radar data; main trough; transient fluid of hot metal and molten slag; wall shear stress; conjugate heat transfer; refractory; shape rolling; flat rolling; wire rod; temperature distribution; machine learning; artificial intelligence; neural network; BOS reactor; copper smelting; SKS; Shuikoushan process; oxygen bottom blown; gated recurrent unit; support vector data description; time sequence prediction; fault detection and identification; Lignite; microwave and ultrasound modification; structural characterization; 3D molecular model; structural simulation; coke combustion rate; charcoal combustion rate; iron ore sintering process; biomass; quasi-particle; quasi-particle structure; monomer blended fuel; quasi-particle fuel; apparent activation energy; coupling effect; dynamic model; basic oxygen furnace; computational fluid dynamics; CFD-DEM; coalescence; settling; funneling flow; horizontal single belt casting process (HSBC); computational fluid dynamics (CFD); double impingement feeding system; supersonic coherent jet; decarburization; steel refining; EAF; CFD; mass transfer coefficient; physical modeling; mathematical modeling; kinetic models; natural gas; fuel injection; combustion; RAFT; roll design; flat-rolled wire; strain inhomogeneity; normal pressure; macroscopic shear bands; numerical model; dual gas injection; slag eye; electrical energy consumption; Electric Arc Furnace; scrap melting; statistical modeling; raceway evolution; raceway size; flow pattern; Eulerian multiphase flow; blast furnace hearth; dead man; iron and slag flow; lining wear; hearth drainage; Industry 4.0; copper smelter; nickel-copper smelter; radiometric sensors; Peirce-smith converting; matte-slag chemistry; discrete event simulation; adaptive finite differences; n/a
• Dostęp online: DOAB: download the publication; DOAB: description of the publication

The Special Issue presents almost 40 papers on recent research in modeling of pyrometallurgical systems, including physical models, first-principles models, detailed CFD and DEM models as well as statistical models or models based on machine learning. The models cover the whole production chain from...