Statistical Modeling and Optimization of the Cyanidation Process of Gold Mineral

In this paper, we have sought to identify the conditions and optimal operating variables for the processing of a gold ore, in such a way to achieve high efficiency in the recovery of the precious metal. Initially a characterization of the mineral under study was carried out with the performance of d...

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Autores:
Tipo de recurso:
Fecha de publicación:
2019
Institución:
Universidad Pedagógica y Tecnológica de Colombia
Repositorio:
RiUPTC: Repositorio Institucional UPTC
Idioma:
spa
OAI Identifier:
oai:repositorio.uptc.edu.co:001/14246
Acceso en línea:
https://revistas.uptc.edu.co/index.php/ingenieria/article/view/9745
https://repositorio.uptc.edu.co/handle/001/14246
Palabra clave:
cyanides
floatation
gold
minerals
precious metals
statistical analysis
análisis estadístico
cianuros
flotación
metales preciosos
minerales
oro
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License
http://creativecommons.org/licenses/by/4.0
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oai_identifier_str oai:repositorio.uptc.edu.co:001/14246
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network_name_str RiUPTC: Repositorio Institucional UPTC
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dc.title.en-US.fl_str_mv Statistical Modeling and Optimization of the Cyanidation Process of Gold Mineral
dc.title.es-ES.fl_str_mv Modelamiento estadístico y optimización del proceso de cianuración de un mineral aurífero
title Statistical Modeling and Optimization of the Cyanidation Process of Gold Mineral
spellingShingle Statistical Modeling and Optimization of the Cyanidation Process of Gold Mineral
cyanides
floatation
gold
minerals
precious metals
statistical analysis
análisis estadístico
cianuros
flotación
metales preciosos
minerales
oro
title_short Statistical Modeling and Optimization of the Cyanidation Process of Gold Mineral
title_full Statistical Modeling and Optimization of the Cyanidation Process of Gold Mineral
title_fullStr Statistical Modeling and Optimization of the Cyanidation Process of Gold Mineral
title_full_unstemmed Statistical Modeling and Optimization of the Cyanidation Process of Gold Mineral
title_sort Statistical Modeling and Optimization of the Cyanidation Process of Gold Mineral
dc.subject.en-US.fl_str_mv cyanides
floatation
gold
minerals
precious metals
statistical analysis
topic cyanides
floatation
gold
minerals
precious metals
statistical analysis
análisis estadístico
cianuros
flotación
metales preciosos
minerales
oro
dc.subject.es-ES.fl_str_mv análisis estadístico
cianuros
flotación
metales preciosos
minerales
oro
description In this paper, we have sought to identify the conditions and optimal operating variables for the processing of a gold ore, in such a way to achieve high efficiency in the recovery of the precious metal. Initially a characterization of the mineral under study was carried out with the performance of different laboratory tests. Likewise, a grinding test was made. In the same way, a sample of ore was classified using a series of Tyler sieves. Next, the material was subjected to gravimetric concentration on a Wilfley concentrator table. The fines, product of the concentration, with a 100 % granulometry through 170 Tyler meshes, were subjected to conventional flotation tests. In this way, to optimize the recovery of gold from the gold ore under study, an experimental design of 2k factorial analysis with central point, three variables and the response surface method was applied to determine the optimal parameters to achieve an efficient recovery during cyanidation. The results obtained show that the mineral has a high degree of cyanide leachability, obtaining a gold recovery of 89.35 %. The research demonstrated that the statistical experimental design is a valuable tool for the efficient processing of the minerals, since it allows finding the optimal parameters of the cyanidation process such as the leaching time, the granulometry of the mineral and the concentration of NaCN. The results obtained with the application of the statistical design in the cyanidation tests allowed determining the optimal operating conditions for a maximum gold recovery.
publishDate 2019
dc.date.accessioned.none.fl_str_mv 2024-07-05T19:11:51Z
dc.date.available.none.fl_str_mv 2024-07-05T19:11:51Z
dc.date.none.fl_str_mv 2019-08-14
dc.type.en-US.fl_str_mv research
dc.type.es-ES.fl_str_mv investigación
dc.type.none.fl_str_mv info:eu-repo/semantics/article
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_2df8fbb1
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dc.type.version.spa.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.coarversion.spa.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a289
status_str publishedVersion
dc.identifier.none.fl_str_mv https://revistas.uptc.edu.co/index.php/ingenieria/article/view/9745
10.19053/01211129.v28.n53.2019.9745
dc.identifier.uri.none.fl_str_mv https://repositorio.uptc.edu.co/handle/001/14246
url https://revistas.uptc.edu.co/index.php/ingenieria/article/view/9745
https://repositorio.uptc.edu.co/handle/001/14246
identifier_str_mv 10.19053/01211129.v28.n53.2019.9745
dc.language.none.fl_str_mv spa
dc.language.iso.spa.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv https://revistas.uptc.edu.co/index.php/ingenieria/article/view/9745/8252
https://revistas.uptc.edu.co/index.php/ingenieria/article/view/9745/8673
dc.rights.en-US.fl_str_mv http://creativecommons.org/licenses/by/4.0
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
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dc.format.none.fl_str_mv application/pdf
application/xml
dc.coverage.en-US.fl_str_mv Nacional
dc.publisher.en-US.fl_str_mv Universidad Pedagógica y Tecnológica de Colombia
dc.source.en-US.fl_str_mv Revista Facultad de Ingeniería; Vol. 28 No. 53 (2019); 33-51
dc.source.es-ES.fl_str_mv Revista Facultad de Ingeniería; Vol. 28 Núm. 53 (2019); 33-51
dc.source.none.fl_str_mv 2357-5328
0121-1129
institution Universidad Pedagógica y Tecnológica de Colombia
repository.name.fl_str_mv Repositorio Institucional UPTC
repository.mail.fl_str_mv repositorio.uptc@uptc.edu.co
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spelling 2019-08-142024-07-05T19:11:51Z2024-07-05T19:11:51Zhttps://revistas.uptc.edu.co/index.php/ingenieria/article/view/974510.19053/01211129.v28.n53.2019.9745https://repositorio.uptc.edu.co/handle/001/14246In this paper, we have sought to identify the conditions and optimal operating variables for the processing of a gold ore, in such a way to achieve high efficiency in the recovery of the precious metal. Initially a characterization of the mineral under study was carried out with the performance of different laboratory tests. Likewise, a grinding test was made. In the same way, a sample of ore was classified using a series of Tyler sieves. Next, the material was subjected to gravimetric concentration on a Wilfley concentrator table. The fines, product of the concentration, with a 100 % granulometry through 170 Tyler meshes, were subjected to conventional flotation tests. In this way, to optimize the recovery of gold from the gold ore under study, an experimental design of 2k factorial analysis with central point, three variables and the response surface method was applied to determine the optimal parameters to achieve an efficient recovery during cyanidation. The results obtained show that the mineral has a high degree of cyanide leachability, obtaining a gold recovery of 89.35 %. The research demonstrated that the statistical experimental design is a valuable tool for the efficient processing of the minerals, since it allows finding the optimal parameters of the cyanidation process such as the leaching time, the granulometry of the mineral and the concentration of NaCN. The results obtained with the application of the statistical design in the cyanidation tests allowed determining the optimal operating conditions for a maximum gold recovery.En este trabajo se buscó identificar las condiciones y variables óptimas de operación para el procesamiento de un mineral de oro, de tal forma que se alcanzara una alta eficiencia en la recuperación del metal precioso. Inicialmente se llevó a cabo una caracterización del mineral en estudio con la realización de diferentes ensayos de laboratorio. Igualmente se ejecutó un ensayo de moliendabilidad. A la vez, una muestra de mineral fue clasificada mediante una serie de tamices Tyler. Después, el material fue sometido a concentración gravimétrica en mesa Wilfley. Los finos, producto de la concentración, con una granulometría 100 % pasante 170 mallas Tyler, fueron sometidos a pruebas de flotación convencional. De esta forma, con el fin de optimizar la recuperación del oro del mineral aurífero en estudio, se aplicó un diseño experimental de análisis factorial 2k con punto central, tres variables y el método de superficie de respuesta para determinar los parámetros óptimos con el fin de lograr una recuperación eficiente durante la cianuración. Los resultados obtenidos mostraron que el mineral presenta un alto grado de lixiviabilidad en cianuro, lográndose una recuperación del oro del 89.35 %. De acuerdo con esto, se corroboró que el diseño experimental estadístico es una herramienta valiosa para el procesamiento eficiente de los minerales, dado que permite encontrar los parámetros óptimos del proceso de cianuración, como son el tiempo de lixiviación, la granulometría del mineral y la concentración de NaCN. Los resultados conseguidos con la aplicación del diseño estadístico en las pruebas de cianuración posibilitaron determinar las condiciones óptimas de operación para una máxima recuperación de oro.application/pdfapplication/xmlspaspaUniversidad Pedagógica y Tecnológica de Colombiahttps://revistas.uptc.edu.co/index.php/ingenieria/article/view/9745/8252https://revistas.uptc.edu.co/index.php/ingenieria/article/view/9745/8673Copyright (c) 2019 Jairo Antonio Ruiz-Córdoba, M.Sc., Carlos Alberto Lopez-Cañas, M.Sc., María Eugenia Carmona-Arango, William Hernán Bolívar-Garcíahttp://creativecommons.org/licenses/by/4.0http://purl.org/coar/access_right/c_abf206http://purl.org/coar/access_right/c_abf2Revista Facultad de Ingeniería; Vol. 28 No. 53 (2019); 33-51Revista Facultad de Ingeniería; Vol. 28 Núm. 53 (2019); 33-512357-53280121-1129cyanidesfloatationgoldmineralsprecious metalsstatistical analysisanálisis estadísticocianurosflotaciónmetales preciososmineralesoroStatistical Modeling and Optimization of the Cyanidation Process of Gold MineralModelamiento estadístico y optimización del proceso de cianuración de un mineral auríferoresearchinvestigacióninfo:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_2df8fbb1info:eu-repo/semantics/publishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a289http://purl.org/coar/version/c_970fb48d4fbd8a85NacionalRuiz-Córdoba, Jairo AntonioLopez-Cañas, Carlos AlbertoCarmona-Arango, María EugeniaBolívar-García, William Hernán001/14246oai:repositorio.uptc.edu.co:001/142462025-07-18 11:53:44.036metadata.onlyhttps://repositorio.uptc.edu.coRepositorio Institucional UPTCrepositorio.uptc@uptc.edu.co