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Influence of material alterations and machine impairment on throughput related sensor-based sorting performance
Bastian Küppers1, Sabine Schlögl1, Karl Friedrich1
1Montanuniversität Leoben, Chair of Waste Processing Technology and Waste Management, Austria.
Summary
Sensor-based sorting (SBS) performance is impacted by throughput and material composition. Approximately 5% 2D particles or 20% faulty air valves significantly reduce yield and purity at high throughput rates.
Area of Science:
- Waste Management & Recycling
- Material Science
- Process Engineering
Background:
- Sensor-based sorting (SBS) is crucial for efficient waste stream management.
- Understanding the impact of operational parameters and material characteristics on SBS performance is essential for optimization.
- Previous studies have qualitatively observed effects, but quantitative analysis under varying conditions is needed.
Purpose of the Study:
- To investigate the influence of throughput rate and input composition on the sorting performance of SBS machinery.
- To quantify the negative effects of light two-dimensional (2D) particles and air valve malfunctions on sorting efficiency.
- To provide data for optimizing SBS throughput rates based on specific input material.
Main Methods:
- Creation of material mixtures with defined compositions and particle size distributions from waste fractions.
- Sorting of these mixtures using near-infrared (NIR) technology-based SBS at various throughput rates.
- Evaluation of sorting performance based on yield, product purity, recovery, and incorrectly discharged reject particles.
- Assessment of the impact of 2D particles and air valve failures on these performance metrics.
Main Results:
- A 5 wt% share of 2D particles in the input negatively affected yield similarly to a 20% air valve malfunction at high throughput rates.
- Air valve failures further reduced product purity at increased throughput rates.
- The study confirmed qualitative observations from prior research regarding systematic effects.
- Graphs illustrating performance variations with throughput for specific compositions were generated.
Conclusions:
- Throughput rate and input composition significantly influence SBS performance metrics.
- 2D particles and air valve malfunctions pose considerable challenges to sorting efficiency, particularly at high throughputs.
- The generated performance graphs enable precise adjustment of throughput rates for optimized sorting outcomes.
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