Mathematical Modelling for Furnace Design Refining Molten Aluminum

The design of an aluminium melting furnace has faced two challenges: mathematical modelling and simulative optimization. This paper first uses fluid dynamics to model the aluminium process mathematically. Then, the model is utilized to simulate a round shaped reverberatory furnace for melting alumin...

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Autores principales:	Alfredo Alan Flores Saldívar, Rodrigo Juárez Martínez, Alfredo Flores Valdés, Jesús Torres Torres, Rocío Maricela Ochoa Palacios, Yun Li
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	aluminium melting furnace design optimal design finite elements analysis mathematical modelling Mining engineering. Metallurgy TN1-997
Acceso en línea:	https://doaj.org/article/89e2cf3a30ab4ba2a2d7d01bae6e5127
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spelling	oai:doaj.org-article:89e2cf3a30ab4ba2a2d7d01bae6e51272021-11-25T18:22:02ZMathematical Modelling for Furnace Design Refining Molten Aluminum10.3390/met111117982075-4701https://doaj.org/article/89e2cf3a30ab4ba2a2d7d01bae6e51272021-11-01T00:00:00Zhttps://www.mdpi.com/2075-4701/11/11/1798https://doaj.org/toc/2075-4701The design of an aluminium melting furnace has faced two challenges: mathematical modelling and simulative optimization. This paper first uses fluid dynamics to model the aluminium process mathematically. Then, the model is utilized to simulate a round shaped reverberatory furnace for melting aluminium alloys. In order to achieve the highest thermal efficiency of the furnace, modelling and simulation are performed to predict complex flow patterns, geometries, temperature profiles of the mixture-gas air through the main chamber, as well as the melting tower attached to the furnace. The results led to the establishment of optimal position and angle of the burner, which are validated through physical experiments, ensuring recirculation of the combustion gases through the melting chamber and the melting tower. Furthermore, a proper arrangement of refractory materials is derived to avoid heat losses through the outer surface of the furnace. Temperature profiles are also determined for the optimization to arrive at the final design of the furnace. Compared with manual designs previously practiced, the simulation-based optimal design of furnaces offers excellent guidance, an increase in the aluminium processing and magnesium removal for more refined alloys, and an increased processing rate of aluminium chip accession.Alfredo Alan Flores SaldívarRodrigo Juárez MartínezAlfredo Flores ValdésJesús Torres TorresRocío Maricela Ochoa PalaciosYun LiMDPI AGarticlealuminium meltingfurnace designoptimal designfinite elements analysismathematical modellingMining engineering. MetallurgyTN1-997ENMetals, Vol 11, Iss 1798, p 1798 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	aluminium melting furnace design optimal design finite elements analysis mathematical modelling Mining engineering. Metallurgy TN1-997
spellingShingle	aluminium melting furnace design optimal design finite elements analysis mathematical modelling Mining engineering. Metallurgy TN1-997 Alfredo Alan Flores Saldívar Rodrigo Juárez Martínez Alfredo Flores Valdés Jesús Torres Torres Rocío Maricela Ochoa Palacios Yun Li Mathematical Modelling for Furnace Design Refining Molten Aluminum
description	The design of an aluminium melting furnace has faced two challenges: mathematical modelling and simulative optimization. This paper first uses fluid dynamics to model the aluminium process mathematically. Then, the model is utilized to simulate a round shaped reverberatory furnace for melting aluminium alloys. In order to achieve the highest thermal efficiency of the furnace, modelling and simulation are performed to predict complex flow patterns, geometries, temperature profiles of the mixture-gas air through the main chamber, as well as the melting tower attached to the furnace. The results led to the establishment of optimal position and angle of the burner, which are validated through physical experiments, ensuring recirculation of the combustion gases through the melting chamber and the melting tower. Furthermore, a proper arrangement of refractory materials is derived to avoid heat losses through the outer surface of the furnace. Temperature profiles are also determined for the optimization to arrive at the final design of the furnace. Compared with manual designs previously practiced, the simulation-based optimal design of furnaces offers excellent guidance, an increase in the aluminium processing and magnesium removal for more refined alloys, and an increased processing rate of aluminium chip accession.
format	article
author	Alfredo Alan Flores Saldívar Rodrigo Juárez Martínez Alfredo Flores Valdés Jesús Torres Torres Rocío Maricela Ochoa Palacios Yun Li
author_facet	Alfredo Alan Flores Saldívar Rodrigo Juárez Martínez Alfredo Flores Valdés Jesús Torres Torres Rocío Maricela Ochoa Palacios Yun Li
author_sort	Alfredo Alan Flores Saldívar
title	Mathematical Modelling for Furnace Design Refining Molten Aluminum
title_short	Mathematical Modelling for Furnace Design Refining Molten Aluminum
title_full	Mathematical Modelling for Furnace Design Refining Molten Aluminum
title_fullStr	Mathematical Modelling for Furnace Design Refining Molten Aluminum
title_full_unstemmed	Mathematical Modelling for Furnace Design Refining Molten Aluminum
title_sort	mathematical modelling for furnace design refining molten aluminum
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/89e2cf3a30ab4ba2a2d7d01bae6e5127
work_keys_str_mv	AT alfredoalanfloressaldivar mathematicalmodellingforfurnacedesignrefiningmoltenaluminum AT rodrigojuarezmartinez mathematicalmodellingforfurnacedesignrefiningmoltenaluminum AT alfredofloresvaldes mathematicalmodellingforfurnacedesignrefiningmoltenaluminum AT jesustorrestorres mathematicalmodellingforfurnacedesignrefiningmoltenaluminum AT rociomaricelaochoapalacios mathematicalmodellingforfurnacedesignrefiningmoltenaluminum AT yunli mathematicalmodellingforfurnacedesignrefiningmoltenaluminum
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Mathematical Modelling for Furnace Design Refining Molten Aluminum

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