Modeling and Simulation of Metallurgical Processes in Ironmaking and Steelmaking

In 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...

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Detalles Bibliográficos
Otros Autores:	Echterhof, Thomas (Editor), Ohno, Ko-Ichiro (Otro), Visuri, Ville-Valtteri
Formato:	Libro electrónico
Idioma:	Inglés
Publicado:	MDPI - Multidisciplinary Digital Publishing Institute 2022
Materias:	Technology: general issues History of engineering & technology liquid metals bubble generation bubble size distribution porous plugs bubble deformation drag force lift force mathematical modelling computational fluid dynamic slag heat recovery heat exchanger drying slag energy content heat recovery technology RecHeat rotary kiln reduction process numerical simulation pre-reduction scrap preheating electric arc furnace continuous charging turbulence modelling RANS/LES/DNS inflow condition model validation model application energy demand regression artificial neural network Gaussian process regression Köhle formula evaluation model quantitative relationship scrap melting mass transfer coefficient steelmaking process direct current arc impingement arc gap gas density electric arc magneto hydrodynamics computational fluid dynamics real-time model estimation model predictive control steel refining mathematical modeling carbon composite briquette blast furnace ironmaking reaction kinetics coke saving direct reduction Midrex HYL Rist diagram energy consumption profile optimization modelling machine learning steelmaking fuzzy modelling evolving modelling continuous casting near net shape casting twin roll (Bessemer) casting horizontal single belt casting
Ver en Biblioteca Universitat Ramon Llull:	https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009689925406719