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...
| Autores: | , , |
|---|---|
| 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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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 |
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reponame:UPCommons. Portal del coneixement obert de la UPC instname:Universitat Politècnica de Catalunya (UPC) |
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Universitat Politècnica de Catalunya (UPC) |
| reponame_str |
UPCommons. Portal del coneixement obert de la UPC |
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UPCommons. Portal del coneixement obert de la UPC |
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15,300719 |