Supervision of ethylene propylene diene M-class (EPDM) rubber vulcanization and recovery processes using attenuated total reflection Fourier transform infrared (ATR FT-IR) spectroscopy and multivariate analysis

EPDM rubber is widely used in a diverse type of applications, such as the automotive, industrial and construction sectors among others. Due to its appealing features, the consumption of vulcanized EPDM rubber is growing significantly. However, environmental issues are forcing the application of devu...

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Detalles Bibliográficos
Autores: Riba Ruiz, Jordi-Roger|||0000-0001-8774-2389, Canals Parelló, Trini, Cantero Gómez, María Rosa
Tipo de recurso: artículo
Fecha de publicación:2016
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/98460
Acceso en línea:https://hdl.handle.net/2117/98460
https://dx.doi.org/10.1177/0003702816653131
Access Level:acceso abierto
Palabra clave:Vulcanization
Rubber
Fourier transform infrared spectroscopy
Tires--Recycling
Infrared spectroscopy.
Microwaves
Multivariate analysis
Anàlisi espectral
Cautxú
Vulcanització
Pneumàtics -- Reciclatge
Anàlisi multivariable
Microones
Transformades de Fourier
Àrees temàtiques de la UPC::Enginyeria dels materials::Materials plàstics i polímers
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spelling Supervision of ethylene propylene diene M-class (EPDM) rubber vulcanization and recovery processes using attenuated total reflection Fourier transform infrared (ATR FT-IR) spectroscopy and multivariate analysisRiba Ruiz, Jordi-Roger|||0000-0001-8774-2389Canals Parelló, TriniCantero Gómez, María RosaVulcanizationRubberFourier transform infrared spectroscopyTires--RecyclingInfrared spectroscopy.MicrowavesMultivariate analysisAnàlisi espectralCautxúVulcanitzacióPneumàtics -- ReciclatgeAnàlisi multivariableMicroonesTransformades de FourierÀrees temàtiques de la UPC::Enginyeria dels materials::Materials plàstics i polímersEPDM rubber is widely used in a diverse type of applications, such as the automotive, industrial and construction sectors among others. Due to its appealing features, the consumption of vulcanized EPDM rubber is growing significantly. However, environmental issues are forcing the application of devulcanization processes to facilitate the recovery, which has led rubber manufacturers to implement strict quality controls. Consequently, it is important to develop methods for supervising the vulcanizing and recovering processes of such products. This paper deals with the supervision process of EPDM compounds by means of Fourier transform mid-infrared (FTIR) spectroscopy and suitable multivariate statistical methods. A nondestructive and expeditive classification approach was applied to a sufficient number of EPDM samples with different applied processes, that is, with and without application of vulcanizing agents, vulcanized samples and microwave treated samples. First the FTIR spectra of the samples is acquired and next it is processed by applying suitable feature extraction methods, i.e., principal component analysis (PCA) and canonical variate analysis (CVA) to obtain the latent variables to be used for classifying test EPDM samples. Finally, the k-NN (k nearest neighbor) algorithm was used in the classification stage. Experimental results prove the accuracy of the proposed method and the potential of FTIR spectroscopy in this area, since the classification accuracy can be as high as 100%.20162016-08-1720162016-12-16journal articlehttp://purl.org/coar/resource_type/c_6501AMhttp://purl.org/coar/version/c_ab4af688f83e57aainfo:eu-repo/semantics/articleapplication/mswordhttps://hdl.handle.net/2117/98460https://dx.doi.org/10.1177/0003702816653131reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2http://creativecommons.org/licenses/by-nc-nd/3.0/es/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/984602026-05-27T15:37:01Z
dc.title.none.fl_str_mv Supervision of ethylene propylene diene M-class (EPDM) rubber vulcanization and recovery processes using attenuated total reflection Fourier transform infrared (ATR FT-IR) spectroscopy and multivariate analysis
title Supervision of ethylene propylene diene M-class (EPDM) rubber vulcanization and recovery processes using attenuated total reflection Fourier transform infrared (ATR FT-IR) spectroscopy and multivariate analysis
spellingShingle Supervision of ethylene propylene diene M-class (EPDM) rubber vulcanization and recovery processes using attenuated total reflection Fourier transform infrared (ATR FT-IR) spectroscopy and multivariate analysis
Riba Ruiz, Jordi-Roger|||0000-0001-8774-2389
Vulcanization
Rubber
Fourier transform infrared spectroscopy
Tires--Recycling
Infrared spectroscopy.
Microwaves
Multivariate analysis
Anàlisi espectral
Cautxú
Vulcanització
Pneumàtics -- Reciclatge
Anàlisi multivariable
Microones
Transformades de Fourier
Àrees temàtiques de la UPC::Enginyeria dels materials::Materials plàstics i polímers
title_short Supervision of ethylene propylene diene M-class (EPDM) rubber vulcanization and recovery processes using attenuated total reflection Fourier transform infrared (ATR FT-IR) spectroscopy and multivariate analysis
title_full Supervision of ethylene propylene diene M-class (EPDM) rubber vulcanization and recovery processes using attenuated total reflection Fourier transform infrared (ATR FT-IR) spectroscopy and multivariate analysis
title_fullStr Supervision of ethylene propylene diene M-class (EPDM) rubber vulcanization and recovery processes using attenuated total reflection Fourier transform infrared (ATR FT-IR) spectroscopy and multivariate analysis
title_full_unstemmed Supervision of ethylene propylene diene M-class (EPDM) rubber vulcanization and recovery processes using attenuated total reflection Fourier transform infrared (ATR FT-IR) spectroscopy and multivariate analysis
title_sort Supervision of ethylene propylene diene M-class (EPDM) rubber vulcanization and recovery processes using attenuated total reflection Fourier transform infrared (ATR FT-IR) spectroscopy and multivariate analysis
dc.creator.none.fl_str_mv Riba Ruiz, Jordi-Roger|||0000-0001-8774-2389
Canals Parelló, Trini
Cantero Gómez, María Rosa
author Riba Ruiz, Jordi-Roger|||0000-0001-8774-2389
author_facet Riba Ruiz, Jordi-Roger|||0000-0001-8774-2389
Canals Parelló, Trini
Cantero Gómez, María Rosa
author_role author
author2 Canals Parelló, Trini
Cantero Gómez, María Rosa
author2_role author
author
dc.subject.none.fl_str_mv Vulcanization
Rubber
Fourier transform infrared spectroscopy
Tires--Recycling
Infrared spectroscopy.
Microwaves
Multivariate analysis
Anàlisi espectral
Cautxú
Vulcanització
Pneumàtics -- Reciclatge
Anàlisi multivariable
Microones
Transformades de Fourier
Àrees temàtiques de la UPC::Enginyeria dels materials::Materials plàstics i polímers
topic Vulcanization
Rubber
Fourier transform infrared spectroscopy
Tires--Recycling
Infrared spectroscopy.
Microwaves
Multivariate analysis
Anàlisi espectral
Cautxú
Vulcanització
Pneumàtics -- Reciclatge
Anàlisi multivariable
Microones
Transformades de Fourier
Àrees temàtiques de la UPC::Enginyeria dels materials::Materials plàstics i polímers
description EPDM rubber is widely used in a diverse type of applications, such as the automotive, industrial and construction sectors among others. Due to its appealing features, the consumption of vulcanized EPDM rubber is growing significantly. However, environmental issues are forcing the application of devulcanization processes to facilitate the recovery, which has led rubber manufacturers to implement strict quality controls. Consequently, it is important to develop methods for supervising the vulcanizing and recovering processes of such products. This paper deals with the supervision process of EPDM compounds by means of Fourier transform mid-infrared (FTIR) spectroscopy and suitable multivariate statistical methods. A nondestructive and expeditive classification approach was applied to a sufficient number of EPDM samples with different applied processes, that is, with and without application of vulcanizing agents, vulcanized samples and microwave treated samples. First the FTIR spectra of the samples is acquired and next it is processed by applying suitable feature extraction methods, i.e., principal component analysis (PCA) and canonical variate analysis (CVA) to obtain the latent variables to be used for classifying test EPDM samples. Finally, the k-NN (k nearest neighbor) algorithm was used in the classification stage. Experimental results prove the accuracy of the proposed method and the potential of FTIR spectroscopy in this area, since the classification accuracy can be as high as 100%.
publishDate 2016
dc.date.none.fl_str_mv 2016
2016-08-17
2016
2016-12-16
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
AM
http://purl.org/coar/version/c_ab4af688f83e57aa
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/98460
https://dx.doi.org/10.1177/0003702816653131
url https://hdl.handle.net/2117/98460
https://dx.doi.org/10.1177/0003702816653131
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

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

http://creativecommons.org/licenses/by-nc-nd/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/msword
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
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