Very small-scale,segregating-fluidized-bed experiments: A dataset for CFD-DEM validation and uncertainty quantification |
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Authors: | W Casey Q LaMarche Steven R Dahl William D Fullmer Christine M Hrenya |
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Affiliation: | 1. Department of Chemical and Biological Engineering, University of Colorado at Boulder, Boulder, Colorado, USA;2. Department of Chemical and Biological Engineering, University of Colorado at Boulder, Boulder, Colorado, USA
Contribution: Formal analysis (equal), ?Investigation (equal), Writing - review & editing (supporting) |
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Abstract: | Fluidization experiments were conducted on a small scale and with a rapid response (short duration) to enable corresponding simulations at low-computational cost. Rise times are reported for four or fewer polyethylene particles (intruders) in an air-fluidized bed of ~5000 group D glass beads. Experimental inputs were completely characterized—particle properties, system dimensions and operating conditions—which is necessary for validating computational fluid mechanics (CFD)-discrete element method (DEM) including a comprehensive uncertainty quantification (UQ) analysis. Input uncertainties are reported as bounds or cumulative distribution functions of measured values. The staggering number of simulations required to complete a UQ analysis (~O104] simulations corresponding to ~5 uncertain inputs) motivates this study. These segregating-bed experiments are designed to permit analogous CFD-DEM simulations to complete in less than a day on a single (~2.5 GHz) computational processor unit (CPU). Segregation times are reported for several operating conditions, intruder sizes, and initial configurations, providing a rich dataset for numerical model testing, validation and UQ. |
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Keywords: | bubbling bed fluidized bed multiphase flow segregation uncertainty quantification validation |
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