Influence of material alterations and machine impairment on throughput related sensor-based sorting performance

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Influence of material alterations and machine impairment on throughput related sensor-based sorting performance. / Küppers, Bastian; Schlögl, Sabine; Friedrich, Karl et al.
In: Waste management & research, Vol. 39.2020, No. 1, 01.07.2020, p. 122-129.

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@article{a26ddb6e4f1549638a6f7cb7e3b4d067,
title = "Influence of material alterations and machine impairment on throughput related sensor-based sorting performance",
abstract = "Experiments with sensor-based sorting (SBS) machinery provide insight into the effect of throughput rate and input composition on the sorting performance. For this purpose, material mixtures with certain compositions and particle size distributions were created from waste fractions and sorted at various throughput rates. To evaluate the sorting performance of the SBS unit (using near infrared technology) in dependence of the applied load, four assessment factors concerning the output fractions were studied: yield, product purity, recovery/product quantity and incorrectly discharged share of reject particles. The influences on the assessment parameters of light twodimensional (2D) particles in the input of a sorting stage and failing air valves in an SBS unit were evaluated for various input compositions at different throughput rates. It was found that a share of approximately 5 wt% 2D particles in the input had a similar negative effect on the yield as the malfunction of 20% of all air valves in an SBS machine at high throughput rates. Additionally, the failure of the air valves reduced the product purity of the sorting stage at increased throughput rates. Furthermore, qualitative observations concerning systematic effects of prior studies could be confirmed. Resulting graphs for a specific input composition of an SBS unit at varying throughput rates could be used to adjust the throughput rate to meet the exact demands for a sorting stage.",
author = "Bastian K{\"u}ppers and Sabine Schl{\"o}gl and Karl Friedrich and Laura Lederle and Celestine Pichler and Julia Freil and Roland Pomberger and Daniel Vollprecht",
year = "2020",
month = jul,
day = "1",
doi = "10.1177/0734242X20936745",
language = "English",
volume = "39.2020",
pages = "122--129",
journal = "Waste management & research",
issn = "0734-242X",
publisher = "SAGE Publications Ltd",
number = "1",

}

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TY - JOUR

T1 - Influence of material alterations and machine impairment on throughput related sensor-based sorting performance

AU - Küppers, Bastian

AU - Schlögl, Sabine

AU - Friedrich, Karl

AU - Lederle, Laura

AU - Pichler, Celestine

AU - Freil, Julia

AU - Pomberger, Roland

AU - Vollprecht, Daniel

PY - 2020/7/1

Y1 - 2020/7/1

N2 - Experiments with sensor-based sorting (SBS) machinery provide insight into the effect of throughput rate and input composition on the sorting performance. For this purpose, material mixtures with certain compositions and particle size distributions were created from waste fractions and sorted at various throughput rates. To evaluate the sorting performance of the SBS unit (using near infrared technology) in dependence of the applied load, four assessment factors concerning the output fractions were studied: yield, product purity, recovery/product quantity and incorrectly discharged share of reject particles. The influences on the assessment parameters of light twodimensional (2D) particles in the input of a sorting stage and failing air valves in an SBS unit were evaluated for various input compositions at different throughput rates. It was found that a share of approximately 5 wt% 2D particles in the input had a similar negative effect on the yield as the malfunction of 20% of all air valves in an SBS machine at high throughput rates. Additionally, the failure of the air valves reduced the product purity of the sorting stage at increased throughput rates. Furthermore, qualitative observations concerning systematic effects of prior studies could be confirmed. Resulting graphs for a specific input composition of an SBS unit at varying throughput rates could be used to adjust the throughput rate to meet the exact demands for a sorting stage.

AB - Experiments with sensor-based sorting (SBS) machinery provide insight into the effect of throughput rate and input composition on the sorting performance. For this purpose, material mixtures with certain compositions and particle size distributions were created from waste fractions and sorted at various throughput rates. To evaluate the sorting performance of the SBS unit (using near infrared technology) in dependence of the applied load, four assessment factors concerning the output fractions were studied: yield, product purity, recovery/product quantity and incorrectly discharged share of reject particles. The influences on the assessment parameters of light twodimensional (2D) particles in the input of a sorting stage and failing air valves in an SBS unit were evaluated for various input compositions at different throughput rates. It was found that a share of approximately 5 wt% 2D particles in the input had a similar negative effect on the yield as the malfunction of 20% of all air valves in an SBS machine at high throughput rates. Additionally, the failure of the air valves reduced the product purity of the sorting stage at increased throughput rates. Furthermore, qualitative observations concerning systematic effects of prior studies could be confirmed. Resulting graphs for a specific input composition of an SBS unit at varying throughput rates could be used to adjust the throughput rate to meet the exact demands for a sorting stage.

UR - http://www.scopus.com/inward/record.url?scp=85087295625&partnerID=8YFLogxK

U2 - 10.1177/0734242X20936745

DO - 10.1177/0734242X20936745

M3 - Article

VL - 39.2020

SP - 122

EP - 129

JO - Waste management & research

JF - Waste management & research

SN - 0734-242X

IS - 1

ER -