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dc.contributor.authorRiba Ruiz, Jordi-Roger
dc.contributor.authorCanals Parelló, Trini
dc.contributor.authorCantero Gómez, María Rosa
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Elèctrica
dc.contributor.otherEscola d'Enginyeria d'Igualada
dc.date.accessioned2016-12-16T11:43:10Z
dc.date.available2016-12-16T11:43:10Z
dc.date.issued2016-08-17
dc.identifier.citationRiba, J., Canals, T., Cantero, M.R. 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. "Applied spectroscopy", 17 Agost 2016.
dc.identifier.issn0003-7028
dc.identifier.urihttp://hdl.handle.net/2117/98460
dc.description.abstractEPDM 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%.
dc.language.isoeng
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Enginyeria dels materials::Materials plàstics i polímers
dc.subject.lcshVulcanization
dc.subject.lcshRubber
dc.subject.lcshFourier transform infrared spectroscopy
dc.subject.lcshTires--Recycling
dc.subject.lcshInfrared spectroscopy.
dc.subject.lcshMicrowaves
dc.subject.lcshMultivariate analysis
dc.titleSupervision 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.typeArticle
dc.subject.lemacAnàlisi espectral
dc.subject.lemacCautxú
dc.subject.lemacVulcanització
dc.subject.lemacPneumàtics -- Reciclatge
dc.subject.lemacAnàlisi multivariable
dc.subject.lemacMicroones
dc.subject.lemacTransformades de Fourier
dc.contributor.groupUniversitat Politècnica de Catalunya. MCIA - Motion Control and Industrial Applications Research Group
dc.contributor.groupUniversitat Politècnica de Catalunya. GIR - GIR Ambiental
dc.identifier.doi10.1177/0003702816653131
dc.rights.accessOpen Access
drac.iddocument19332731
dc.description.versionPostprint (author's final draft)
upcommons.citation.authorRiba, J.; Canals, T.; Cantero, M.R.
upcommons.citation.publishedtrue
upcommons.citation.publicationNameApplied spectroscopy


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