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Título:	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
Autor/a:	Riba Ruiz, Jordi-Roger; Canals Parelló, Trini; Cantero Gómez, María Rosa
Otros autores:	Universitat Politècnica de Catalunya. Departament d'Enginyeria Elèctrica; Escola d'Enginyeria d'Igualada; Universitat Politècnica de Catalunya. MCIA - Motion Control and Industrial Applications Research Group; Universitat Politècnica de Catalunya. GIR - GIR Ambiental
Abstract:	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%.
Materia(s):	-Àrees temàtiques de la UPC::Enginyeria dels materials::Materials plàstics i polímers -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
Derechos:	http://creativecommons.org/licenses/by-nc-nd/3.0/es/
Tipo de documento:	Artículo - Versión presentada Artículo
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