(451c) Residence Time Distribution Determination and Prediction with Discrete Element Method (DEM) in Continuous Blending Processes
- Conference: AIChE Annual Meeting
- Year: 2019
- Proceeding: 2019 AIChE Annual Meeting
- Group: Pharmaceutical Discovery, Development and Manufacturing Forum
Wednesday, November 13, 2019 - 10:12am-10:30am
In this work, a DEM model was developed to study powder flow/mixing inside a continuous blender based on experimental tracer studies. As a complement to in-line blend uniformity evaluation via near-infrared spectroscopy (NIR), case studies by the DEM model aimed to characterize the powder mixing efficiency. The experimental and DEM simulation studies include screw speed, screw configuration, and powder flowrate. For the DEM models, the materials properties (inputs to the simulation) and process conditions were defined based on experimental data. The DEM model case studies were compared with the experimental results. The extent of the DEM simulation allows the analysis of particle trajectories, mixing behavior, as well as RTD and travel distance distribution to understand the influence of process parameters, such as impeller shape, pitch angle, hold up, mean residence time, as well as material attributes, such as shape, flowability, and size.
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