Translator Disclaimer
9 May 2012 Application of NIR hyperspectral imaging for post-consumer polyolefins recycling
Author Affiliations +
An efficient large-scale recycling approach of particulate solid wastes is always accomplished according to the quality of the materials fed to the recycling plant and/or to any possible continuous and reliable control of the different streams inside the processing plants. Processing technologies addressed to recover plastics need to be extremely powerful, since they must be relatively simple to be cost-effective, but also accurate enough to create high-purity products and able to valorize a substantial fraction of the plastic waste materials into useful products of consistent quality in order to be economical. On the other hand, the potential market for such technologies is large and the boost of environmental regulations, and the oil price increase, has made many industries interested both in "general purpose" waste sorting technologies, as well as in developing more specialized sensing devices and/or inspection logics for a better quality assessment of plastic products. In this perspective recycling strategies have to be developed taking into account some specific aspects as i) mixtures complexity: the valuable material has to be extracted from the residue, ii) overall production: the profitability of plastic can be achieved only with mass production and iii) costs: low-cost sorting processes are required. In this paper new analytical strategies, based on hyperspectral imaging in the near infrared field (1000-1700 nm), have been investigated and set up in order to define sorting and/or quality control logics that could be profitably applied, at industrial plant level, for polyolefins recycling.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Silvia Serranti, Aldo Gargiulo, and Giuseppe Bonifazi "Application of NIR hyperspectral imaging for post-consumer polyolefins recycling", Proc. SPIE 8366, Advanced Environmental, Chemical, and Biological Sensing Technologies IX, 83660G (9 May 2012);

Back to Top