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.

使用基于传感器的分拣 (SBS) 机器进行的实验可以深入了解吞吐率和输入组成对分拣性能的影响。为此，具有特定成分和粒度分布的材料混合物由废物碎片制成，并以不同的吞吐率进行分类。为了根据应用负载评估 SBS 装置（使用近红外技术）的分选性能，研究了与输出部分有关的四个评估因素：产量、产品纯度、回收率/产品数量和不正确排放的不合格颗粒份额。针对不同吞吐率下的各种输入成分，评估了分选阶段输入中轻二维 (2D) 粒子的评估参数和 SBS 单元中失效空气阀的影响。结果发现，输入中大约 5 wt% 的 2D 粒子对产量的负面影响与 SBS 机器中 20% 的所有空气阀在高吞吐率下的故障相似。此外，空气阀的故障降低了分选阶段的产品纯度，同时增加了吞吐量。此外，可以确认关于先前研究的系统影响的定性观察。SBS 单元在不同吞吐率下的特定输入组成的结果图可用于调整吞吐率以满足分类阶段的确切需求。空气阀故障降低了分选阶段的产品纯度，提高了吞吐率。此外，可以确认关于先前研究的系统影响的定性观察。SBS 单元在不同吞吐率下的特定输入组成的结果图可用于调整吞吐率以满足分类阶段的确切需求。空气阀故障降低了分选阶段的产品纯度，提高了吞吐率。此外，可以确认关于先前研究的系统影响的定性观察。SBS 单元在不同吞吐率下的特定输入组成的结果图可用于调整吞吐率以满足分类阶段的确切需求。