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dc.contributor.editorEchterhof, Thomas
dc.contributor.editorOhno, Ko-Ichiro
dc.contributor.editorVisuri, Ville-Valtteri
dc.date.accessioned2022-10-25T09:01:47Z
dc.date.available2022-10-25T09:01:47Z
dc.date.issued2022
dc.identifierONIX_20221025_9783036551531_51
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/93197
dc.description.abstractIn recent years, improving the sustainability of the steel industry and reducing its CO2 emissions has become a global focus. To achieve this goal, further process optimization in terms of energy and resource efficiency and the development of new processes and process routes are necessary. Modeling and simulation have established themselves as invaluable sources of information for otherwise unknown process parameters and as an alternative to plant trials that involves lower costs, risks, and time. Models also open up new possibilities for model-based control of metallurgical processes. This Special Issue focuses on recent advances in the modeling and simulation of unit processes in iron and steelmaking. It includes reviews on the fundamentals of modeling and simulation of metallurgical processes, as well as contributions from the areas of iron reduction/ironmaking, steelmaking via the primary and secondary route, and continuous casting.
dc.languageEnglish
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issuesen_US
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technologyen_US
dc.subject.otherliquid metals
dc.subject.otherbubble generation
dc.subject.otherbubble size distribution
dc.subject.otherporous plugs
dc.subject.otherbubble deformation
dc.subject.otherdrag force
dc.subject.otherlift force
dc.subject.othermathematical modelling
dc.subject.othercomputational fluid dynamic
dc.subject.otherslag heat recovery
dc.subject.otherheat exchanger
dc.subject.otherdrying
dc.subject.otherslag energy content
dc.subject.otherheat recovery technology
dc.subject.otherRecHeat
dc.subject.otherrotary kiln
dc.subject.otherreduction process
dc.subject.othernumerical simulation
dc.subject.otherpre-reduction
dc.subject.otherscrap preheating
dc.subject.otherelectric arc furnace
dc.subject.othercontinuous charging
dc.subject.otherturbulence modelling
dc.subject.otherRANS/LES/DNS
dc.subject.otherinflow condition
dc.subject.othermodel validation
dc.subject.othermodel application
dc.subject.otherenergy demand
dc.subject.otherregression
dc.subject.otherartificial neural network
dc.subject.otherGaussian process regression
dc.subject.otherKöhle formula
dc.subject.otherevaluation model
dc.subject.otherquantitative relationship
dc.subject.otherscrap melting
dc.subject.othermass transfer coefficient
dc.subject.othersteelmaking process
dc.subject.otherdirect current
dc.subject.otherarc impingement
dc.subject.otherarc gap
dc.subject.othergas density
dc.subject.otherelectric arc
dc.subject.othermagneto hydrodynamics
dc.subject.othercomputational fluid dynamics
dc.subject.otherreal-time model
dc.subject.otherestimation
dc.subject.othermodel predictive control
dc.subject.othersteel refining
dc.subject.othermathematical modeling
dc.subject.othercarbon composite briquette
dc.subject.otherblast furnace ironmaking
dc.subject.otherreaction kinetics
dc.subject.othercoke saving
dc.subject.otherdirect reduction
dc.subject.otherMidrex
dc.subject.otherHYL
dc.subject.otherRist diagram
dc.subject.otherenergy consumption
dc.subject.otherprofile optimization
dc.subject.othermodelling
dc.subject.othermachine learning
dc.subject.othersteelmaking
dc.subject.otherfuzzy modelling
dc.subject.otherevolving modelling
dc.subject.othercontinuous casting
dc.subject.othernear net shape casting
dc.subject.othertwin roll (Bessemer) casting
dc.subject.otherhorizontal single belt casting
dc.subject.othern/a
dc.titleModeling and Simulation of Metallurgical Processes in Ironmaking and Steelmaking
dc.typebook
oapen.identifier.doi10.3390/books978-3-0365-5154-8
oapen.relation.isPublishedBy46cabcaa-dd94-4bfe-87b4-55023c1b36d0
oapen.relation.isbn9783036551531
oapen.relation.isbn9783036551548
oapen.pages286


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