In recycling technologies of plastic from post-consumer waste the capability to separate different polymers is one of the key points in order to certify the quality and the purity of recycled products. In this paper the use of hyperspectral imaging has been applied to the classification of plastic materials coming from building and construction waste. In particular, reflectance spectra in the near infrared wavelength field (1000-1700 nm) have been acquired in order to recognize two polymers whose separation is not an easy task by current separation technologies: polyethylene (PE) and polypropylene (PP). The obtained results show that it is possible to identify such polymers using this technique and that hyperspectral imaging has a great potentiality to be applied for the development of quality control and sorting strategies.
Utilizzo delle Tecniche di Imaging Iperspettrale per il Riconoscimento e la Classificazione delle Poliolefine negli Impianti di Riciclo / Serranti, Silvia; Bonifazi, Giuseppe; Gargiulo, Aldo; D'Aniello, Laura. - ELETTRONICO. - (2010), pp. 277-283. (Intervento presentato al convegno ECOMONDO 2010 tenutosi a Rimini, Rimini Fiera nel 3-6 Novembre 2010).
Utilizzo delle Tecniche di Imaging Iperspettrale per il Riconoscimento e la Classificazione delle Poliolefine negli Impianti di Riciclo
SERRANTI, Silvia;BONIFAZI, Giuseppe;GARGIULO, ALDO;D'ANIELLO, LAURA
2010
Abstract
In recycling technologies of plastic from post-consumer waste the capability to separate different polymers is one of the key points in order to certify the quality and the purity of recycled products. In this paper the use of hyperspectral imaging has been applied to the classification of plastic materials coming from building and construction waste. In particular, reflectance spectra in the near infrared wavelength field (1000-1700 nm) have been acquired in order to recognize two polymers whose separation is not an easy task by current separation technologies: polyethylene (PE) and polypropylene (PP). The obtained results show that it is possible to identify such polymers using this technique and that hyperspectral imaging has a great potentiality to be applied for the development of quality control and sorting strategies.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.