Modeling and Optimization of Manganese Carbonate Precipitation Using Response Surface Methodology and Central Composite Rotatable Design

Detalhes bibliográficos
Autor(a) principal: Muanda, Meschack Mukunga
Data de Publicação: 2021
Outros Autores: Omalanga, Pele Pascal Daniel
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista de Engenharia Química e Química
Texto Completo: https://periodicos.ufv.br/jcec/article/view/12632
Resumo: A sulfate solution containing 1773.965 mg/L Mn2+, 3216.178 mg/L Mg2+ and 566.254 mg/L Ca2+ was used to perform the maximum recovery of manganese and minimum recovery of magnesium. Carbonate precipitation was used due to the better selectivity for manganese over magnesium and other impurities recovery compared to hydroxide precipitation. Four factors were studied: solution pH value, contact time, reaction temperature and sodium carbonate consumption. Analysis of variance (ANOVA) and response surface methodology (RSM) were used to determine the optimum. Under the optimum conditions, the manganese and magnesium recoveries were the highest and the lowest respectively, while the pH, the time, the temperature and the volume of Na2CO3 were the lowest.  The values of the four factors were found as followed: 8.9293, 60.69 min, 77.95°F, and 50.7650 mL respectively. Moreover, the recoveries of manganese and magnesium were 99.9799% and 4.3045% respectively. The results show that optimization using RSM is effective in improving carbonate precipitation of manganese.
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spelling Modeling and Optimization of Manganese Carbonate Precipitation Using Response Surface Methodology and Central Composite Rotatable DesignModelado y optimización de la precipitación de carbonato de manganeso utilizando Metodología de superficie de respuesta y diseño giratorio compuesto centralModelagem e Otimização da Precipitação de Carbonato de Manganês usando Metodologia de Superfície de Resposta e Projeto Rotativo de Composto CentralCarbonate precipitation. Manganese. Magnesium. Modeling. Response surface methodology.Precipitação de carbonato. Manganês. Magnésio. Modelagem. Metodologia de superfície de resposta.Precipitación de carbonatos. Manganeso. Magnesio. Modelado. Metodología de superficie de respuesta.A sulfate solution containing 1773.965 mg/L Mn2+, 3216.178 mg/L Mg2+ and 566.254 mg/L Ca2+ was used to perform the maximum recovery of manganese and minimum recovery of magnesium. Carbonate precipitation was used due to the better selectivity for manganese over magnesium and other impurities recovery compared to hydroxide precipitation. Four factors were studied: solution pH value, contact time, reaction temperature and sodium carbonate consumption. Analysis of variance (ANOVA) and response surface methodology (RSM) were used to determine the optimum. Under the optimum conditions, the manganese and magnesium recoveries were the highest and the lowest respectively, while the pH, the time, the temperature and the volume of Na2CO3 were the lowest.  The values of the four factors were found as followed: 8.9293, 60.69 min, 77.95°F, and 50.7650 mL respectively. Moreover, the recoveries of manganese and magnesium were 99.9799% and 4.3045% respectively. The results show that optimization using RSM is effective in improving carbonate precipitation of manganese.Se utilizó una solución de sulfato que contenía 1773,965 mg / L Mn2 +, 3216,178 mg / L Mg2 + y 566,254 mg / L Ca2 + para realizar la máxima recuperación de manganeso y la mínima recuperación de magnesio. Se utilizó una precipitación de carbonato debido a la mayor selectividad de manganês o magnesio y a la recuperación de otras impurezas en comparación con la precipitación de hidróxido. Se estudiaron cuatro factores: valor de pH de la solución, tiempo de contacto, temperatura de reacción y consumo de carbonato de sodio. Análisis de varianza (ANOVA) y metodología de superficie de respuesta (RSM) del foram utilizado para determinar el óptimo. Las condiciones óptimas, la recuperación de manganés y magnesio para los niveles más alto y más bajo, respectivamente, en términos de pH o tiempo, a la temperatura o volumen más bajo de Na2CO3. Los valores de dos cuatro factores foraminíferos se encuentran de la siguiente manera: 8.9293, 60.69 min, 77.95 ° F y 50.7650 mL, respectivamente. Además, las recuperaciones de manganés y foram de magnesio de 99,9799% y 4,3045%, respectivamente. Los resultados muestran que la optimización con RSM es eficaz para derretir la precipitación del carbonato de manganés.Uma solução de sulfato contendo 1773,965 mg/L Mn2+, 3216,178 mg/L Mg2+ e 566,254 mg/L Ca2+ foi usada para realizar a recuperação máxima de manganês e a recuperação mínima de magnésio. A precipitação de carbonato foi usada devido à melhor seletividade do manganês sobre o magnésio e a recuperação de outras impurezas em comparação com a precipitação de hidróxido. Quatro fatores foram estudados: valor do pH da solução, tempo de contato, temperatura de reação e consumo de carbonato de sódio. Análise de variância (ANOVA) e metodologia de superfície de resposta (RSM) foram usadas para determinar o ótimo. Nas condições ótimas, as recuperações de manganês e magnésio foram as mais altas e as mais baixas, respectivamente, enquanto o pH, o tempo, a temperatura e o volume de Na2CO3 foram os mais baixos. Os valores dos quatro fatores foram encontrados da seguinte forma: 8,9293, 60,69 min, 77,95°F e 50,7650 mL, respectivamente. Além disso, as recuperações de manganês e magnésio foram de 99,9799% e 4,3045%, respectivamente. Os resultados mostram que a otimização usando RSM é eficaz na melhoria da precipitação de carbonato de manganês.Universidade Federal de Viçosa - UFV2021-06-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufv.br/jcec/article/view/1263210.18540/jcecvl7iss3pp12632-01-22eThe Journal of Engineering and Exact Sciences; Vol. 7 No. 3 (2021); 12632-01-22eThe Journal of Engineering and Exact Sciences; Vol. 7 Núm. 3 (2021); 12632-01-22eThe Journal of Engineering and Exact Sciences; v. 7 n. 3 (2021); 12632-01-22e2527-1075reponame:Revista de Engenharia Química e Químicainstname:Universidade Federal de Viçosa (UFV)instacron:UFVenghttps://periodicos.ufv.br/jcec/article/view/12632/6668Copyright (c) 2021 The Journal of Engineering and Exact Scienceshttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessMuanda, Meschack Mukunga Omalanga, Pele Pascal Daniel2021-08-16T18:50:11Zoai:ojs.periodicos.ufv.br:article/12632Revistahttp://www.seer.ufv.br/seer/rbeq2/index.php/req2/indexONGhttps://periodicos.ufv.br/jcec/oaijcec.journal@ufv.br||req2@ufv.br2446-94162446-9416opendoar:2021-08-16T18:50:11Revista de Engenharia Química e Química - Universidade Federal de Viçosa (UFV)false
dc.title.none.fl_str_mv Modeling and Optimization of Manganese Carbonate Precipitation Using Response Surface Methodology and Central Composite Rotatable Design
Modelado y optimización de la precipitación de carbonato de manganeso utilizando Metodología de superficie de respuesta y diseño giratorio compuesto central
Modelagem e Otimização da Precipitação de Carbonato de Manganês usando Metodologia de Superfície de Resposta e Projeto Rotativo de Composto Central
title Modeling and Optimization of Manganese Carbonate Precipitation Using Response Surface Methodology and Central Composite Rotatable Design
spellingShingle Modeling and Optimization of Manganese Carbonate Precipitation Using Response Surface Methodology and Central Composite Rotatable Design
Muanda, Meschack Mukunga
Carbonate precipitation. Manganese. Magnesium. Modeling. Response surface methodology.
Precipitação de carbonato. Manganês. Magnésio. Modelagem. Metodologia de superfície de resposta.
Precipitación de carbonatos. Manganeso. Magnesio. Modelado. Metodología de superficie de respuesta.
title_short Modeling and Optimization of Manganese Carbonate Precipitation Using Response Surface Methodology and Central Composite Rotatable Design
title_full Modeling and Optimization of Manganese Carbonate Precipitation Using Response Surface Methodology and Central Composite Rotatable Design
title_fullStr Modeling and Optimization of Manganese Carbonate Precipitation Using Response Surface Methodology and Central Composite Rotatable Design
title_full_unstemmed Modeling and Optimization of Manganese Carbonate Precipitation Using Response Surface Methodology and Central Composite Rotatable Design
title_sort Modeling and Optimization of Manganese Carbonate Precipitation Using Response Surface Methodology and Central Composite Rotatable Design
author Muanda, Meschack Mukunga
author_facet Muanda, Meschack Mukunga
Omalanga, Pele Pascal Daniel
author_role author
author2 Omalanga, Pele Pascal Daniel
author2_role author
dc.contributor.author.fl_str_mv Muanda, Meschack Mukunga
Omalanga, Pele Pascal Daniel
dc.subject.por.fl_str_mv Carbonate precipitation. Manganese. Magnesium. Modeling. Response surface methodology.
Precipitação de carbonato. Manganês. Magnésio. Modelagem. Metodologia de superfície de resposta.
Precipitación de carbonatos. Manganeso. Magnesio. Modelado. Metodología de superficie de respuesta.
topic Carbonate precipitation. Manganese. Magnesium. Modeling. Response surface methodology.
Precipitação de carbonato. Manganês. Magnésio. Modelagem. Metodologia de superfície de resposta.
Precipitación de carbonatos. Manganeso. Magnesio. Modelado. Metodología de superficie de respuesta.
description A sulfate solution containing 1773.965 mg/L Mn2+, 3216.178 mg/L Mg2+ and 566.254 mg/L Ca2+ was used to perform the maximum recovery of manganese and minimum recovery of magnesium. Carbonate precipitation was used due to the better selectivity for manganese over magnesium and other impurities recovery compared to hydroxide precipitation. Four factors were studied: solution pH value, contact time, reaction temperature and sodium carbonate consumption. Analysis of variance (ANOVA) and response surface methodology (RSM) were used to determine the optimum. Under the optimum conditions, the manganese and magnesium recoveries were the highest and the lowest respectively, while the pH, the time, the temperature and the volume of Na2CO3 were the lowest.  The values of the four factors were found as followed: 8.9293, 60.69 min, 77.95°F, and 50.7650 mL respectively. Moreover, the recoveries of manganese and magnesium were 99.9799% and 4.3045% respectively. The results show that optimization using RSM is effective in improving carbonate precipitation of manganese.
publishDate 2021
dc.date.none.fl_str_mv 2021-06-10
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://periodicos.ufv.br/jcec/article/view/12632
10.18540/jcecvl7iss3pp12632-01-22e
url https://periodicos.ufv.br/jcec/article/view/12632
identifier_str_mv 10.18540/jcecvl7iss3pp12632-01-22e
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://periodicos.ufv.br/jcec/article/view/12632/6668
dc.rights.driver.fl_str_mv Copyright (c) 2021 The Journal of Engineering and Exact Sciences
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2021 The Journal of Engineering and Exact Sciences
https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Viçosa - UFV
publisher.none.fl_str_mv Universidade Federal de Viçosa - UFV
dc.source.none.fl_str_mv The Journal of Engineering and Exact Sciences; Vol. 7 No. 3 (2021); 12632-01-22e
The Journal of Engineering and Exact Sciences; Vol. 7 Núm. 3 (2021); 12632-01-22e
The Journal of Engineering and Exact Sciences; v. 7 n. 3 (2021); 12632-01-22e
2527-1075
reponame:Revista de Engenharia Química e Química
instname:Universidade Federal de Viçosa (UFV)
instacron:UFV
instname_str Universidade Federal de Viçosa (UFV)
instacron_str UFV
institution UFV
reponame_str Revista de Engenharia Química e Química
collection Revista de Engenharia Química e Química
repository.name.fl_str_mv Revista de Engenharia Química e Química - Universidade Federal de Viçosa (UFV)
repository.mail.fl_str_mv jcec.journal@ufv.br||req2@ufv.br
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