Process Modeling in Pyrometallurgical Engineering

Edited by
June 2021
642 pages
  • ISBN978-3-0365-0654-8 (Hardback)
  • ISBN978-3-0365-0655-5 (PDF)

This book is a reprint of the Special Issue Process Modeling in Pyrometallurgical Engineering that was published in

Biology & Life Sciences
Chemistry & Materials Science
Computer Science & Mathematics
Environmental & Earth Sciences

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.

  • Hardback
License and Copyright
© 2022 by the authors; CC BY-NC-ND license
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; steelmaking; COREX; raceway zone; numerical simulation; gas flow; COREX melter gasifier; mixed charging; burden layer structure; burden pile width; DEM; blast furnace; 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; mixing time; multiple linear regression; ironmaking blast furnace; coke bed; trickle flow; molten slag; liquid iron; SPH; blast furnace; charging system; mathematical model; radar data; burden distribution; 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; steelmaking; arsenic removal; 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; temperature distribution; biomass; quasi-particle; quasi-particle structure; monomer blended fuel; quasi-particle fuel; apparent activation energy; coupling effect; dynamic model; simulation; 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; mixing time; physical modeling; mathematical modeling; kinetic models; blast furnace; natural gas; fuel injection; computational fluid dynamics; numerical simulation; combustion; RAFT; roll design; flat-rolled wire; strain inhomogeneity; normal pressure; macroscopic shear bands; secondary refining; numerical model; dual gas injection; slag eye; mixing time; 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