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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Bibliographic Details
Other Authors:	Saxen, Henrik (Editor), Ramírez-Argáez, Marco (Editor), Conejo, Alberto (Editor), Dutta, Abhishek (Editor)
Format:	Book Chapter
Published:	Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
Subjects:	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
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Summary:	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.
Physical Description:	1 electronic resource (642 p.)
ISBN:	books978-3-0365-0655-5 9783036506548 9783036506555
Access:	Open Access

Process Modeling in Pyrometallurgical Engineering

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