Process Modeling in Pyrometallurgical Engineering

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...

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Sprache:	eng
Schlagworte:	3D molecular model adaptive finite differences analysis tool angle of repose apparent activation energy arrhenius equation arsenate arsenic recovery arsenic removal arsenopyrite artificial intelligence basic oxygen furnace biomass blast furnace blast furnace hearth BOS reactor bubble motion burden distribution burden layer structure burden pile width C-H2 smelting reduction furnace carbon solution loss CFD CFD–DEM charcoal combustion rate charging system coalescence coke coke bed coke combustion rate combustion computational fluid dynamics computational fluid dynamics (CFD) conjugate heat transfer coordination number copper smelter copper smelting COREX COREX melter gasifier coupling effect Cr2O3 crystal size dead man decarburization DEM dimensional analysis Discrete Element Method discrete event simulation double impingement feeding system double-row side nozzles drainage dual gas injection dust ash dynamic model EAF electric arc furnace electrical energy consumption entrainment Eulerian multiphase flow fault detection and identification flat rolling flat-rolled wire flow behavior flow pattern fuel injection funneling flow gas flow gated recurrent unit genetic algorithm GPR hearth hearth drainage heating time horizontal single belt casting process (HSBC) hot rolling hot rolling planning Industry 4.0 interfacial phenomena ion–molecule coexistence theory iron and slag flow iron ore sintering process ironmaking blast furnace kinetic models LF refining slags Lignite lining wear liquid iron machine learning macroscopic shear bands main trough mass transfer coefficient mathematical model mathematical modeling matte-slag chemistry mechanism microwave and ultrasound modification mixed charging mixing time molten slag monomer blended fuel moving path multiple linear regression n/a natural gas neural network nickel-based alloy nickel-copper smelter normal pressure numerical model numerical simulation oxygen bottom blown oxygen consumption particle flow pattern PCA Peirce-smith converting pellet pile physical modeling porosity distribution prediction model process model processing maps quasi-particle quasi-particle fuel quasi-particle structure raceway evolution raceway size raceway zone radar data radiometric sensors RAFT refractory roasting roll design scrap melting secondary refining segregation models settling shape rolling Shuikoushan process simulation SKS slag entrapment slag eye solidification SPH spinel stainless steel slag statistical modeling steel refining steelmaking strain inhomogeneity structural characterization structural simulation supersonic coherent jet support vector data description tapholes Technology, Engineering, Agriculture, Industrial processes Technology: general issues temperature distribution thermodynamic model time sequence prediction TiN inclusion tire cord steel titanium distribution ratio TOU electricity pricing transient fluid of hot metal and molten slag trickle flow validation wall shear stress water model wire rod
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Beschreibung
Zusammenfassung:	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 raw materials processing through the reduction and conversion unit processes to ladle treatment, casting, and rolling. The papers illustrate how models can be used for shedding light on complex and inaccessible processes characterized by high temperatures and hostile environment, in order to improve process performance, product quality, or yield and to reduce the requirements of virgin raw materials and to suppress harmful emissions.
DOI:	10.3390/books978-3-0365-0655-5