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http://dx.doi.org/10.7844/kirr.2017.26.1.69

A Basic Study on Sorting of Black Plastics of Waste Electrical and Electronic Equipment (WEEE)  

Park, Eun Kyu (Waste Recycling Institute, The University of Suwon)
Jung, Bam Bit (Waste Recycling Institute, The University of Suwon)
Choi, Woo Zin (Waste Recycling Institute, The University of Suwon)
Oh, Sung Kwun (Department of Electrical Engineering, The University of Suwon)
Publication Information
Resources Recycling / v.26, no.1, 2017 , pp. 69-77 More about this Journal
Abstract
Used small household appliances(small e-waste) consists of a variety of complex materials and components. The small e-waste is mainly composed of plastics and an important potential source of waste plastic. The black plastics, particularly are very difficult to separate by resin type and therefore these are mainly recycled in the form of a mixtures. In the present study, the sorting technologies such as gravity and electro static separation, near-infrared ray(NIR) and IR/Raman optical sorting separation on mixture of black plastics were analyzed and their limitations on sorting process were also investigated. The Laser Induced Breakdown Spectroscopy(LIBS) spectrum of each black plastics was used for identification of black plastics by resin type, and after analyzing the normalization operation, Principal Component Analysis(PCA) was carried out. The spectrum data was optimized through PCA process. In order to improve the identification accuracy and sorting efficiency of black plastics, it is necessary to design a classifier with high efficiency and to improve the performance and reliability of the classifier by applying the field of intelligent algorithms.
Keywords
WEEE; black plastic; LIBS; identification; sorting; recycling;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
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