Energy-efficient systems for the sensing and separation of mixed polymers
conference contributionposted on 24.06.2016 by James Colwill, Alessandro Simeone, Oliver Gould, Elliot Woolley, Ciaran Mulvenna
Any type of content contributed to an academic conference, such as papers, presentations, lectures or proceedings.
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