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Appl. Sci. 2015, 5(4), 1699-1714; doi:10.3390/app5041699

Feasibility Study of Sensor Aided Impact Acoustic Sorting of Plastic Materials from End-of-Life Vehicles (ELVs)

†,* ,
and
School of Environmental Science and Spatial Informatics, China University of Mining and Technology, Daxue Rd. 1, Xuzhou 221116, China
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Academic Editor: Samuel B. Adeloju
Received: 16 September 2015 / Revised: 1 December 2015 / Accepted: 2 December 2015 / Published: 9 December 2015
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Abstract

The purpose of this feasibility research was to study a novel sensor based separation method for recycling of plastic materials from end-of-life vehicles (ELVs) by using eigen-frequency response of impact acoustic emission. In this research three kinds of commonly used plastics, polypropylene (PP), acrylonitrile-butadiene-styrene (ABS), and styrene-maleic-anhydride (SMA) sampled from end-of-life vehicles, were researched. Almost all the crushed plastic scraps had a flake structure, theoretically their impact response behaviors were determined by their diameters and thicknesses. The equivalent diameters of the scraps were characterized by fine sieving and their thicknesses were measured online by a 3D laser triangulation sensor above the conveying path. Following this the scraps were free dropped one-by-one to impact with an impact passive body on which impact acoustic emission (AE) signals were generated and acquired by an acoustic pickup sensor. Thirdly, the AE signals which carried eigen-frequency response features were processed and characterized. Results demonstrated that the scraps with diameters < 8 mm were too weak for the actual devices to process; the scraps with diameter from 8–13 mm still generated quite a lot of AE signals of inadequate intensity. Finally the general characterization and recognition yields were 64.6%, 61.7%, and 63.9% of PP, ABS, and SMA in mass, respectively of tested materials. View Full-Text
Keywords: end-of-life vehicles (ELVs) recycling; automobile shredder residues (ASRs); sensor aided sorting; impact acoustic emission (AE) end-of-life vehicles (ELVs) recycling; automobile shredder residues (ASRs); sensor aided sorting; impact acoustic emission (AE)
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Huang, J.; Bian, Z.; Lei, S. Feasibility Study of Sensor Aided Impact Acoustic Sorting of Plastic Materials from End-of-Life Vehicles (ELVs). Appl. Sci. 2015, 5, 1699-1714.

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