Material recycling systems support sustainable manufacturing by separating product and industrial waste streams into their valuable material components. The material performance of a separation system is critical as output quality directly affects output material value and its substitutability for new materials. Current prediction methods evaluate system performance based on fixed input material and separation performance data, however, separation process performance varies stochastically, affecting the material separation at each stage as well as the final output material quality. Variation in input material concentration also effects output material performance. This research develops aggregate models that consider the effects of this variability on system performance using Monte Carlo simulation. The resulting output material performance probability distributions suggest that system designs may be different when variation in individual process performance and input material composition is taken into account. These results inform the design of multi-stage separation systems that are robust to uncertainty and variability.
Robust Design Of Material Separation Systems For Recycling
COLLEDANI, MARCELLO;
2012-01-01
Abstract
Material recycling systems support sustainable manufacturing by separating product and industrial waste streams into their valuable material components. The material performance of a separation system is critical as output quality directly affects output material value and its substitutability for new materials. Current prediction methods evaluate system performance based on fixed input material and separation performance data, however, separation process performance varies stochastically, affecting the material separation at each stage as well as the final output material quality. Variation in input material concentration also effects output material performance. This research develops aggregate models that consider the effects of this variability on system performance using Monte Carlo simulation. The resulting output material performance probability distributions suggest that system designs may be different when variation in individual process performance and input material composition is taken into account. These results inform the design of multi-stage separation systems that are robust to uncertainty and variability.File | Dimensione | Formato | |
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