A Novel Method for Predicting Product Properties in Fluidized Bed Spray Granulation
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| Title: | A Novel Method for Predicting Product Properties in Fluidized Bed Spray Granulation |
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| Description: | Fluidized bed spray granulation is a process that facilities particle size enlargement by injecting solids in the form of a suspension, solution or melt. The produced particles are often of high value due to their highly specific, functionalized nature. This work provides a method for utilizing particle-scale simulations method like the coupled Computational Fluid Dynamics-Discrete Element Method (CFD-DEM) to predict the properties of particles produced in scaled-up apparatuses based on laboratory-scale experiments by correlating the conditions that particle experience to the properties they develop. Furthermore, a method for calibrating DEM models of weakly wetted particle systems by utilizing a novel, probabilistic liquid bridge state model is proposed. |
| Authors: | Kieckhefen, Paul |
| Resource Type: | eBook. |
| Subjects: | Computational fluid dynamics--Mathematical models, Computational fluid dynamics |
| Categories: | TECHNOLOGY & ENGINEERING / Chemical & Biochemical, SCIENCE / Chemistry / Industrial & Technical |
| Database: | eBook Collection (EBSCOhost) |
| Abstract: | Fluidized bed spray granulation is a process that facilities particle size enlargement by injecting solids in the form of a suspension, solution or melt. The produced particles are often of high value due to their highly specific, functionalized nature. This work provides a method for utilizing particle-scale simulations method like the coupled Computational Fluid Dynamics-Discrete Element Method (CFD-DEM) to predict the properties of particles produced in scaled-up apparatuses based on laboratory-scale experiments by correlating the conditions that particle experience to the properties they develop. Furthermore, a method for calibrating DEM models of weakly wetted particle systems by utilizing a novel, probabilistic liquid bridge state model is proposed. |
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| ISBN: | 9783736975569 9783736965560 |
