• Proceedings of the IEEK Conference
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• 2001.10a
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• pp.592-596
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• 2001

A TACUB jig was applied to separate waste plastics [polystyrene (PS), acrylonitrile butadiene styrene (ABS), and polyethylene terephthalate (PET)] used in copy machine. The effect of water pulsation including amplitude and frequency on the separation performance was investigated for the feeds containing two or three plastics. Good results are obtained under suitable conditions. Grades of 99.8% PS,99.3% ABS, and 98.6% PET are recovered as the products in the upper, middle and bottom layers respectively. Based on these results, a processing plant fer recycling of plastics from scrapped copy machines is now under construction.

• Journal of Korea Technical Association of The Pulp and Paper Industry
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• v.47 no.4
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• pp.66-75
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• 2015

Disposable diaper waste is consisted of plastic, fiber, and SAP (Super Absorbent Polymer). They are valuable to be used as raw materials of other products including plastic blocks and pulp mold. Nevertheless, disposable diaper waste have been disposed by landfill and incineration without recycling. Due to strict environmental regulations it is necessary to develop fractionation technique to recycle the disposable diaper waste. In this study the fractionation technique using pilot-scale stock preparation units was investigated. Process for separation of plastic and fibers from disposable diaper waste was composed by the combination of pilot-scale pulper, drum screen, screen and cleaner. Recovery rate of plastics and fiber was checked according to the various operating conditions. In drum screen, recovery rate of plastic was high when the cut size of disposable diaper waste was $5cm{\times}5cm$. The highest recovery rate of fiber was achieved with 0.3 mm slot screen. It is important to control the neutral state of SAP for improvement of recovery rate of fiber since SAP can be swelled easily in water. Therefore SAP can be controlled efficiently by the addition of calcium chloride into the pulper. Consequently recovery rates of plastics and fibers were over 90 and 80% under the optimum pilot operating conditions.

• Proceedings of the Korean Institute of Resources Recycling Conference
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• 2005.10a
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• pp.346-349
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• 2005

• Proceedings of the Korean Institute of Resources Recycling Conference
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• 2006.05a
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• pp.119-123
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• 2006

• Transactions of the Korean hydrogen and new energy society
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• v.34 no.6
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• pp.601-607
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• 2023

Pyrolysis oil (C5-C20) produced using plastic non-oxidative pyrolysis technology produces naphtha oil (C5-C10) through a separation process, and naphtha oil produces hydrogen through a reforming reaction to secure economic efficiency and social and environmental benefits. In this study, waste plastic pyrolysis oil was subjected to a steam reforming reaction on a commercialized catalyst of 46-3Q And it was found that the 46-3Q catalyst reformed the pyrolysis oil to produce hydrogen. Therefore, an experiment was performed to increase hydrogen yield and minimize the byproduct of ethylene. The reaction experiment was performed using actual waste plastic oil (C8-C11) with temperature, steam/carbon ratio (S/C) ratio, and space velocity as variables. We studied reaction conditions that can maximize hydrogen yield and minimize ethylene byproducts.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.382-384
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• 2021

In this study, we implement a system that automatically classifies types of plastics using YOLO (You Only Look Once), a real-time object recognition algorithm. The system consists of Nvidia jetson nano, a small computer for deep learning and computer vision, with model trained to recognize plastic separation emission marks using YOLO. Using a webcam, recycling marks of plastic waste were recognized as PET, HDPE, and PP, and motors were adjusted to be classified according to the type. By implementing this automatic classifier, it is convenient in that it can reduce the labor of separating and discharging plastic separation marks by humans and increase the efficiency of recycling through accurate recycling.

• Resources Recycling
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• v.33 no.1
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• pp.48-57
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• 2024

This study aimed to improve utilization of the Class C vinyl waste generated in rural areas based on a preliminary investigation on the use of eco-powder, generated through pyrolysis, as a raw material for plastic. The efficiency of pre-processing treatments in controlling ash content of the generated eco-powder and its effect on the basic properties of manufactured plastic were evaluated. The basic properties included ash content of the compressed eco-powder at different levels of ash content, impact strength, flexural strength, and tensile strength. The experimental results confirmed that pre-processing improved the separation efficiency of soil particles and vinyl waste through physical impact. The eco-powder with ash content of less than or equal to 26% was found to satisfy the target performance during impact strength, flexural strength, and tensile strength evaluation. Thus, it was confirmed that the Class C vinyl waste, having low utilization and recovery rates, could be effectively utilized as a plastic raw material after optimum thermal treatment and physical processing using the eco-powder.

• Resources Recycling
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• v.25 no.1
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• pp.31-39
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• 2016

Small household appliances such as electric rice cooker, a vacuum cleaner, an electric fan, etc. are diverse and complex due to the materials and components and waste streams from the manufacturing processes. In the present study, physical characterization of small e-wastes was analyzed on major items including electric rice cooker after manual dismantling. Small household appliances is an important potential source of waste plastic, however, recycling plastics from small e-waste is still unusual. The present communication gives results of separation processes on black plastics and the limitations of these sorting processes in used small household appliances.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2011.11a
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• pp.89-94
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• 2011

In this research, among thermoplasticity plastic raw material that recycling is possible polyolefine(TPO) and polyvinyl chloride(PVC) as target recycling plan examine wish to. It is polyolefine(TPO) and polyvinyl chloride(PVC)) is mediocrity material that there are a lot of amount useds among plastic material and it is material that recycling is also activated most. Long term made first new regulation raw material, by-product raw material happened at process of production at second factory and third time to examine recycling plan of this material divides this as raw material that pass through process separation and pelet Tuesday and analyzed each special quality removing each removed waste after is used. Measure tension strength and ext. heightening gradually mixing proportion of refreshing resources on standard Sample manufactured as new raw material and application examined possibility availability to single fly system.

• Resources Recycling
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• v.26 no.1
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• pp.69-77
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• 2017

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.