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Using Physical Modeling to Optimize the Aluminium Refining Process

Concern for the environment and rational management of resources requires the development of recoverable methods of obtaining metallic materials. This also applies to the production of aluminium and its alloys. The quality requirements of the market drive aluminium producers to use effective refinin...

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Autores principales: Prášil, Tomáš, Socha, Ladislav, Gryc, Karel, Svizelová, Jana, Saternus, Mariola, Merder, Tomasz, Pieprzyca, Jacek, Gráf, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9611159/
https://www.ncbi.nlm.nih.gov/pubmed/36295448
http://dx.doi.org/10.3390/ma15207385
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author Prášil, Tomáš
Socha, Ladislav
Gryc, Karel
Svizelová, Jana
Saternus, Mariola
Merder, Tomasz
Pieprzyca, Jacek
Gráf, Martin
author_facet Prášil, Tomáš
Socha, Ladislav
Gryc, Karel
Svizelová, Jana
Saternus, Mariola
Merder, Tomasz
Pieprzyca, Jacek
Gráf, Martin
author_sort Prášil, Tomáš
collection PubMed
description Concern for the environment and rational management of resources requires the development of recoverable methods of obtaining metallic materials. This also applies to the production of aluminium and its alloys. The quality requirements of the market drive aluminium producers to use effective refining methods, and one of the most commonly used is blowing an inert gas into liquid aluminium via a rotating impeller. The efficiency and cost of this treatment depends largely on the application of the correct ratios between the basic parameters of the process, which are the flow rate of the inert gas, the speed of the rotor and the duration of the process. Determining these ratios in production conditions is expensive and difficult. This article presents the results of research aimed at determining the optimal ratio of the inert gas flow rate to the rotary impeller speed, using physical modeling techniques for the rotor as used in industrial conditions. The tests were carried out for rotary impeller speeds from 150 to 550 rpm and gas flow rates of 12, 17 and 22 dm(3)/min. The research was carried out on a 1:1 scale physical model, and the results, in the form of visualization of the degree of gas-bubble dispersion, were assessed on the basis of the five typical dispersion patterns. The removal of oxygen from water was carried out analogously to the process of removing hydrogen from aluminium. The curves of the rate of oxygen removal from the model liquid were determined, showing the course of oxygen reduction during refining with the same inert gas flows and rotor speeds mentioned above.
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spelling pubmed-96111592022-10-28 Using Physical Modeling to Optimize the Aluminium Refining Process Prášil, Tomáš Socha, Ladislav Gryc, Karel Svizelová, Jana Saternus, Mariola Merder, Tomasz Pieprzyca, Jacek Gráf, Martin Materials (Basel) Article Concern for the environment and rational management of resources requires the development of recoverable methods of obtaining metallic materials. This also applies to the production of aluminium and its alloys. The quality requirements of the market drive aluminium producers to use effective refining methods, and one of the most commonly used is blowing an inert gas into liquid aluminium via a rotating impeller. The efficiency and cost of this treatment depends largely on the application of the correct ratios between the basic parameters of the process, which are the flow rate of the inert gas, the speed of the rotor and the duration of the process. Determining these ratios in production conditions is expensive and difficult. This article presents the results of research aimed at determining the optimal ratio of the inert gas flow rate to the rotary impeller speed, using physical modeling techniques for the rotor as used in industrial conditions. The tests were carried out for rotary impeller speeds from 150 to 550 rpm and gas flow rates of 12, 17 and 22 dm(3)/min. The research was carried out on a 1:1 scale physical model, and the results, in the form of visualization of the degree of gas-bubble dispersion, were assessed on the basis of the five typical dispersion patterns. The removal of oxygen from water was carried out analogously to the process of removing hydrogen from aluminium. The curves of the rate of oxygen removal from the model liquid were determined, showing the course of oxygen reduction during refining with the same inert gas flows and rotor speeds mentioned above. MDPI 2022-10-21 /pmc/articles/PMC9611159/ /pubmed/36295448 http://dx.doi.org/10.3390/ma15207385 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Prášil, Tomáš
Socha, Ladislav
Gryc, Karel
Svizelová, Jana
Saternus, Mariola
Merder, Tomasz
Pieprzyca, Jacek
Gráf, Martin
Using Physical Modeling to Optimize the Aluminium Refining Process
title Using Physical Modeling to Optimize the Aluminium Refining Process
title_full Using Physical Modeling to Optimize the Aluminium Refining Process
title_fullStr Using Physical Modeling to Optimize the Aluminium Refining Process
title_full_unstemmed Using Physical Modeling to Optimize the Aluminium Refining Process
title_short Using Physical Modeling to Optimize the Aluminium Refining Process
title_sort using physical modeling to optimize the aluminium refining process
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9611159/
https://www.ncbi.nlm.nih.gov/pubmed/36295448
http://dx.doi.org/10.3390/ma15207385
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