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Energy-efficient systems for the sensing and separation of mixed polymers
conference contributionposted on 2016-06-24, 13:05 authored by James ColwillJames Colwill, Alessandro Simeone, Oliver Gould, Elliot WoolleyElliot Woolley, Ciaran Mulvenna
Polymers are ubiquitous in modern manufactured products. The potential detrimental impacts of their end-of-life disposal have stimulated significant increases in recycling rates. Recyclate purity is paramount; however this must be achieved with a positive net energy balance. Existing technologies for identification and separation of polymers are often both expensive and energy intensive. This paper investigates Infrared (IR) imaging to extract information on thermal properties of various product polymers within a recycling line. An intelligent decision making support system is enabled using neural network based pattern recognition for automatic polymer identification and classification. Potential energy savings versus current technologies are discussed.
This work was funded by the Engineering and Physical Sciences Research Council [grant number EP/I033351/1] as part of the Centre for Innovative Manufacturing in Industrial Sustainability.
- Mechanical, Electrical and Manufacturing Engineering
Published in10th CIRP Conference on Intelligent Computation in Manufacturing Engineering - CIRP ICME '16
CitationCOLWILL, J. ... et al, 2016. Energy-efficient systems for the sensing and separation of mixed polymers. Procedia CIRP, 62, pp.512-517.
PublisherElsevier / © The Authors.
- VoR (Version of Record)
Publisher statementThis work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/
NotesThis is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/ ) This paper was presented at the 10th CIRP Conference on Intelligent Computation in Manufacturing Engineering - CIRP ICME '16, Naples.