Plastics recovery and recycling represent an important issue. Polyolefins, polyethilene (PE) and polypropylene (PP), recovery from complex waste streams is a challenging issue actually not yet efficiently solved. Furthermore, PP, high density polyethylene (HDPE) and low density polyethylene (LDPE) together are both difficult to separate and chemically incompatible. To produce high-purity granulates from these concentrates, of a quality comparable to materials prodluced from post-industrial waste, mixtures must be accurately sorted, and, to be economically and ecologically sound, most of the polyolefins should end up in a useful product. Such accurate and efficient separations exist, but they involve multiple separations, they are therefore expensive, difficult to control and often do not allow the production of good concentrates. The possibility to develop efficient and low cost recognition logics to control the process and certify the products trough the implementation of on-line HyperSpectral Imaging (HSI) based architectures is presented and evaluated in terms of reliability and robustness of the results. © 2011 IEEE.

Hyperspectral imaging based platforms for particulate solids characterization, inspection and quality control. Case studies: Application to polyolefins recycling / Serranti, Silvia; Gargiulo, Aldo; Bonifazi, Giuseppe. - ELETTRONICO. - (2011), pp. 1-4. (Intervento presentato al convegno 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2011 tenutosi a Lisbon, Portugal nel 6 June 2011 through 9 June 2011) [10.1109/whispers.2011.6080855].

Hyperspectral imaging based platforms for particulate solids characterization, inspection and quality control. Case studies: Application to polyolefins recycling

SERRANTI, Silvia;GARGIULO, ALDO;BONIFAZI, Giuseppe
2011

Abstract

Plastics recovery and recycling represent an important issue. Polyolefins, polyethilene (PE) and polypropylene (PP), recovery from complex waste streams is a challenging issue actually not yet efficiently solved. Furthermore, PP, high density polyethylene (HDPE) and low density polyethylene (LDPE) together are both difficult to separate and chemically incompatible. To produce high-purity granulates from these concentrates, of a quality comparable to materials prodluced from post-industrial waste, mixtures must be accurately sorted, and, to be economically and ecologically sound, most of the polyolefins should end up in a useful product. Such accurate and efficient separations exist, but they involve multiple separations, they are therefore expensive, difficult to control and often do not allow the production of good concentrates. The possibility to develop efficient and low cost recognition logics to control the process and certify the products trough the implementation of on-line HyperSpectral Imaging (HSI) based architectures is presented and evaluated in terms of reliability and robustness of the results. © 2011 IEEE.
2011
3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2011
recycling; waste plastics; hyperspectral imaging; polyolefins; quality control; sorting; polyolefins recycling
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Hyperspectral imaging based platforms for particulate solids characterization, inspection and quality control. Case studies: Application to polyolefins recycling / Serranti, Silvia; Gargiulo, Aldo; Bonifazi, Giuseppe. - ELETTRONICO. - (2011), pp. 1-4. (Intervento presentato al convegno 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, WHISPERS 2011 tenutosi a Lisbon, Portugal nel 6 June 2011 through 9 June 2011) [10.1109/whispers.2011.6080855].
File allegati a questo prodotto
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/380782
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 3
  • ???jsp.display-item.citation.isi??? ND
social impact