Resources Recycling (자원리싸이클링)

The Korean Institute of Resources Recycling (한국자원리싸이클링학회)
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Optimization of Color Sorting Process of Shredded ELV Bumper using Reaction Surface Method

반응표면법을 이용한 폐자동차 범퍼 파쇄물의 색채선별공정 최적화 연구

  • Lee, Hoon (Korea Institute of Geoscience and Mineral Resources)
  • 이훈 (한국지질자원연구원)
  • Received : 2018.12.07
  • Accepted : 2019.04.23
  • Published : 2019.04.30
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Abstract

An color sorting technique was introduced to recycle End-of-life automobile shredded bumpers. The color sorting is a innovate method of separating the differences in the color of materials which are difficult to separate in gravity and size classification by using a camera and an image process technique. Experiments were planned and optimal conditions were derived by applying BBD (Box-Behnken Design) in the reaction surface method. The effects of color sensitivity, feed rate and sample size were analyzed, and a second-order reaction model was obtained based on the analysis of regression and statistical methods and $R^2$ and p-value were 99.56% and < 0.001. Optimum recovery was 94.1% under the conditions of color sensitivity, feed rate and particle size of 32%, 200 kg/h, and 33 mm respectively. The recovery of actual experiment was 93.8%. The experimental data agreed well with the predicted value and confirmed that the model was appropriate.

폐자동차 범퍼 파쇄물 재활용을 위하여 색채선별법을 도입하였다. 색채선별법은 기존의 비중, 입도 차이에 의한 선별이 어려운 물질을 색상 차이를 이용한 카메라와 영상 분석기법으로 분리하는 선별법이다. 본 연구에서는 반응표면법 중 BBD (Box-Behnken Design)를 적용하여 실험을 계획하고 최적 조건을 도출하였다. 색채민감도, 피드투입량 및 입자크기의 영향을 분석하였으며, 회귀분석과 통계적인 방법에 기초하여 2차 반응 모델을 획득하였다. $R^2$ 및 p-value는 각각 99.56%, < 0.001로 타당하였으며, 추정된 최적조건은 색채민감도 32%, 피드투입 200 kg/h, 입자크기 33 mm 조건에서 94.1%의 회수율이 나올 것으로 예측하였다. 실제 실험을 통한 회수율은 93.8%로 나타나 해당 모델이 적절함을 확인하였다.

Keywords

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Fig. 1. Crushing process of used car bumper samples for color sorting test.

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Fig. 2. Shredded Bumper Plastic; 53 ~ 19 mm.

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Fig. 3. Basic structure of color sorting machine.

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Fig. 4. Photo of the color sorting machine used in the study and component explanation.

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Fig. 5. Grade and recovery with various color sensitivities.(feed: 600 kg/h, feed size: 31 mm)

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Fig. 6. Grade and recovery with various feed rate.(sensitivity: 40%, feed size: 31 mm)

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Fig. 7. Grade and recovery with various feed particle size.(feed: 600 kg/h, sensitivity: 40%)

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Fig. 8. Contour graph with various experimental cross-link combination. (a) Coded sensitivity vs. feed rate; fixed size = 31 mm. (b) Coded Feed rate vs. size; fixed sensitivity = 40%. (c) Coded sensitivity vs. feed rate; fixed feed rate = 600 kg/h

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Fig. 9. Normal probability plot for recovery.

Table 1. Size distribution of crushed car bumper samples and proportion of painted particles in each size interval

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Table 2. Quality and recovery according to color sorting test conditions

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Table 3. The result of variance analysis by BBD experiment design method

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