Corrosion Effect in Carbon Steel: Process Modeling Using Fuzzy Logic Tools

Acid mine drainage (AMD), resulting from mining activities, poses a significant environmental concern. It adversely affects metallic materials, particularly carbon steel composites used in mining machinery and structures. Highly acidic and oxidizing compounds like sulfuric acid and ferric ions cause...

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Autores: Fortes Garrido, Juan Carlos, Terrones Saeta, Juan María, Luís, Ana Teresa, Santisteban Fernández, María, Grande Gil, José Antonio
Tipo de recurso: artículo
Fecha de publicación:2023
País:España
Institución:Universidad de Huelva (UHU)
Repositorio:Arias Montano. Repositorio Institucional de la Universidad de Huelva
Idioma:inglés
OAI Identifier:oai:ariasmontano.uhu.es:10272/22333
Acceso en línea:https://hdl.handle.net/10272/22333
Access Level:acceso abierto
Palabra clave:Corrosion
Exposure time
Carbon steel
Acid mine drainage
3318 Tecnología Minera
3308.07 Eliminación de Residuos
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spelling Corrosion Effect in Carbon Steel: Process Modeling Using Fuzzy Logic ToolsFortes Garrido, Juan CarlosTerrones Saeta, Juan MaríaLuís, Ana TeresaSantisteban Fernández, MaríaGrande Gil, José AntonioCorrosionExposure timeCarbon steelAcid mine drainage3318 Tecnología Minera3308.07 Eliminación de ResiduosAcid mine drainage (AMD), resulting from mining activities, poses a significant environmental concern. It adversely affects metallic materials, particularly carbon steel composites used in mining machinery and structures. Highly acidic and oxidizing compounds like sulfuric acid and ferric ions cause corrosion, iron oxide formation, and hydrogen gas release, which degrade carbon steel. AMD also alters the solvent’s properties, dissolving heavy metals and contaminants, and intensifying the environmental impact of mining. A 30-week experiment immersed metal plates in AMD to study its effects. Weekly observations of the plates and solvent were made. The plate measurements and physicochemical data were analyzed using graphical–statistical analysis and fuzzy logic techniques to assess the data quality and identify errors. The results reveal consistent findings with prior studies, such as material degradation with weight loss and alterations in acid drainage media, including increased pH and total dissolved solids (TDS). These changes in the solvent characteristics stem from the dissolution of metal ions from corroded surfaces, reacting with the acid solution. Overall, this study discusses the effects of AMD (acid mine drainage) on metallic materials and emphasizes the significance of monitoring and reducing the environmental consequences of mining activities.MDPI20232023-07-0120232023-07-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/10272/22333reponame:Arias Montano. Repositorio Institucional de la Universidad de Huelvainstname:Universidad de Huelva (UHU)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Atribución-NoComercial-SinDerivadas 3.0 Españahttp://creativecommons.org/licenses/by-nc-nd/3.0/es/info:eu-repo/semantics/openAccessoai:ariasmontano.uhu.es:10272/223332026-06-02T14:58:11Z
dc.title.none.fl_str_mv Corrosion Effect in Carbon Steel: Process Modeling Using Fuzzy Logic Tools
title Corrosion Effect in Carbon Steel: Process Modeling Using Fuzzy Logic Tools
spellingShingle Corrosion Effect in Carbon Steel: Process Modeling Using Fuzzy Logic Tools
Fortes Garrido, Juan Carlos
Corrosion
Exposure time
Carbon steel
Acid mine drainage
3318 Tecnología Minera
3308.07 Eliminación de Residuos
title_short Corrosion Effect in Carbon Steel: Process Modeling Using Fuzzy Logic Tools
title_full Corrosion Effect in Carbon Steel: Process Modeling Using Fuzzy Logic Tools
title_fullStr Corrosion Effect in Carbon Steel: Process Modeling Using Fuzzy Logic Tools
title_full_unstemmed Corrosion Effect in Carbon Steel: Process Modeling Using Fuzzy Logic Tools
title_sort Corrosion Effect in Carbon Steel: Process Modeling Using Fuzzy Logic Tools
dc.creator.none.fl_str_mv Fortes Garrido, Juan Carlos
Terrones Saeta, Juan María
Luís, Ana Teresa
Santisteban Fernández, María
Grande Gil, José Antonio
author Fortes Garrido, Juan Carlos
author_facet Fortes Garrido, Juan Carlos
Terrones Saeta, Juan María
Luís, Ana Teresa
Santisteban Fernández, María
Grande Gil, José Antonio
author_role author
author2 Terrones Saeta, Juan María
Luís, Ana Teresa
Santisteban Fernández, María
Grande Gil, José Antonio
author2_role author
author
author
author
dc.contributor.none.fl_str_mv
dc.subject.none.fl_str_mv Corrosion
Exposure time
Carbon steel
Acid mine drainage
3318 Tecnología Minera
3308.07 Eliminación de Residuos
topic Corrosion
Exposure time
Carbon steel
Acid mine drainage
3318 Tecnología Minera
3308.07 Eliminación de Residuos
description Acid mine drainage (AMD), resulting from mining activities, poses a significant environmental concern. It adversely affects metallic materials, particularly carbon steel composites used in mining machinery and structures. Highly acidic and oxidizing compounds like sulfuric acid and ferric ions cause corrosion, iron oxide formation, and hydrogen gas release, which degrade carbon steel. AMD also alters the solvent’s properties, dissolving heavy metals and contaminants, and intensifying the environmental impact of mining. A 30-week experiment immersed metal plates in AMD to study its effects. Weekly observations of the plates and solvent were made. The plate measurements and physicochemical data were analyzed using graphical–statistical analysis and fuzzy logic techniques to assess the data quality and identify errors. The results reveal consistent findings with prior studies, such as material degradation with weight loss and alterations in acid drainage media, including increased pH and total dissolved solids (TDS). These changes in the solvent characteristics stem from the dissolution of metal ions from corroded surfaces, reacting with the acid solution. Overall, this study discusses the effects of AMD (acid mine drainage) on metallic materials and emphasizes the significance of monitoring and reducing the environmental consequences of mining activities.
publishDate 2023
dc.date.none.fl_str_mv 2023
2023-07-01
2023
2023-07-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/10272/22333
url https://hdl.handle.net/10272/22333
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Atribución-NoComercial-SinDerivadas 3.0 España
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Atribución-NoComercial-SinDerivadas 3.0 España
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:Arias Montano. Repositorio Institucional de la Universidad de Huelva
instname:Universidad de Huelva (UHU)
instname_str Universidad de Huelva (UHU)
reponame_str Arias Montano. Repositorio Institucional de la Universidad de Huelva
collection Arias Montano. Repositorio Institucional de la Universidad de Huelva
repository.name.fl_str_mv
repository.mail.fl_str_mv
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