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CFD-DEM models for matte droplet settling in a flash smelting settler

The flash smelting process is widely used in copper production. In the process, sulfidic feed and flux are oxidized. The heat released in the reactions melts the feed which forms a slag layer through which matte droplets must settle. Understanding the different phenomena affecting the settling is im...

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Detalles Bibliográficos
Autores principales: Jylhä, Jani-Petteri, Jokilaakso, Ari
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10638000/
https://www.ncbi.nlm.nih.gov/pubmed/37954391
http://dx.doi.org/10.1016/j.heliyon.2023.e21570
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author Jylhä, Jani-Petteri
Jokilaakso, Ari
author_facet Jylhä, Jani-Petteri
Jokilaakso, Ari
author_sort Jylhä, Jani-Petteri
collection PubMed
description The flash smelting process is widely used in copper production. In the process, sulfidic feed and flux are oxidized. The heat released in the reactions melts the feed which forms a slag layer through which matte droplets must settle. Understanding the different phenomena affecting the settling is important to minimize losses. Due to the high temperature, simulation methods were employed to study settling. In this work, coupled CFD-DEM was used to study the effect of coalescence and reactions with in-house built submodels and scaled-down geometries. Colliding droplets often coalesce into larger droplets while reactions decrease their size and make them denser. These increase the settling velocity which is further enhanced by the formation of a channeling flow. Channels make the droplet cluster denser causing more collisions. This method enables the phenomena to be studied at the individual droplets' details, although simulating a full-scale process is beyond the available computational resources.
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spelling pubmed-106380002023-11-11 CFD-DEM models for matte droplet settling in a flash smelting settler Jylhä, Jani-Petteri Jokilaakso, Ari Heliyon Research Article The flash smelting process is widely used in copper production. In the process, sulfidic feed and flux are oxidized. The heat released in the reactions melts the feed which forms a slag layer through which matte droplets must settle. Understanding the different phenomena affecting the settling is important to minimize losses. Due to the high temperature, simulation methods were employed to study settling. In this work, coupled CFD-DEM was used to study the effect of coalescence and reactions with in-house built submodels and scaled-down geometries. Colliding droplets often coalesce into larger droplets while reactions decrease their size and make them denser. These increase the settling velocity which is further enhanced by the formation of a channeling flow. Channels make the droplet cluster denser causing more collisions. This method enables the phenomena to be studied at the individual droplets' details, although simulating a full-scale process is beyond the available computational resources. Elsevier 2023-10-29 /pmc/articles/PMC10638000/ /pubmed/37954391 http://dx.doi.org/10.1016/j.heliyon.2023.e21570 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Jylhä, Jani-Petteri
Jokilaakso, Ari
CFD-DEM models for matte droplet settling in a flash smelting settler
title CFD-DEM models for matte droplet settling in a flash smelting settler
title_full CFD-DEM models for matte droplet settling in a flash smelting settler
title_fullStr CFD-DEM models for matte droplet settling in a flash smelting settler
title_full_unstemmed CFD-DEM models for matte droplet settling in a flash smelting settler
title_short CFD-DEM models for matte droplet settling in a flash smelting settler
title_sort cfd-dem models for matte droplet settling in a flash smelting settler
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10638000/
https://www.ncbi.nlm.nih.gov/pubmed/37954391
http://dx.doi.org/10.1016/j.heliyon.2023.e21570
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