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dc.contributor.authorRiba Ruiz, Jordi-Roger
dc.contributor.authorCantero, Rosa
dc.contributor.authorCanals, Trini
dc.contributor.authorPuig Vidal, Rita
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Elèctrica
dc.date.accessioned2020-10-13T16:37:21Z
dc.date.issued2020-11-01
dc.identifier.citationRiba, J. [et al.]. Circular economy of post-consumer textile waste: classification through infrared spectroscopy. "Journal of cleaner production", 1 Novembre 2020, vol. 272, p. 1-9.
dc.identifier.issn0959-6526
dc.identifier.urihttp://hdl.handle.net/2117/330192
dc.description.abstractThe textile and fashion industry is amongst the most resource-intensive and polluting industries, thus impacting the natural environment. During the last decades, there has been an increase in the manufacturing of textiles. Europe consumes large amounts of textiles and clothing due to the current “buy-and-throw-away” culture, so it is crucial to minimize the environmental footprint of the textile and fashion industry. To this end, fashion and textiles should be part of a circular economy, thus extending the life of textiles and clothes, while retaining textile fibers within a closed circuit. There is a need of increasing textile recycling and reuse to minimize the production of virgin textile fibers. However, textiles are mostly sorted manually, thus to process huge volumes of materials and reduce the associated costs, automated sorting systems are required. This paper presents an approach for the sensing and classifying parts of an automatic waste-textile-sorting machine. To this end, the infrared spectra of the textile samples is analyzed and, by applying suitable statistical multivariate methods specially designed to solve classification problems, 100% classification accuracy of unknown fiber samples is reached. The results allow predicting that textile-fibers can be automatically classified with 100% accuracy at high speed, with no need to apply any prior analytical treatment to the textile samples.
dc.format.extent9 p.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Enginyeria tèxtil::Fibres tèxtils
dc.subject.lcshTextile fibers
dc.subject.lcshInfrared spectroscopy
dc.subject.otherTextile fibers
dc.subject.otherTextile sorting
dc.subject.otherMultivariate analysis
dc.subject.otherInfrared spectroscopy
dc.subject.otherClassification
dc.subject.otherPattern recognition
dc.titleCircular economy of post-consumer textile waste: classification through infrared spectroscopy
dc.typeArticle
dc.subject.lemacFibres tèxtils
dc.subject.lemacEspectroscòpia infraroja
dc.contributor.groupUniversitat Politècnica de Catalunya. MCIA - Motion Control and Industrial Applications Research Group
dc.identifier.doi10.1016/j.jclepro.2020.123011
dc.description.awardwinningAward-winning
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/abs/pii/S0959652620330560
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac28909356
dc.description.versionPostprint (author's final draft)
dc.date.lift2022-11-01
local.citation.authorRiba, J.; Cantero, R.; Canals, T.; Puig, R.
local.citation.publicationNameJournal of cleaner production
local.citation.volume272
local.citation.startingPage1
local.citation.endingPage9


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