2022
DOI: 10.1016/j.cej.2022.137794
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Multi-modal framework to model wet milling through numerical simulations and artificial intelligence (part 1)

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Cited by 7 publications
(2 citation statements)
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“…Simulation-based modeling and breakdown for mechanistic modeling: AI modeling based on simulations is an approach with distinct advantages due to the coupling of two numerical approaches, as they can autonomously interact with one another unsupervised (for instance in active learning (AL), etc.). As an example, on the basis of two-way coupled computer fluid dynamics -discrete element method (CFD-DEM) simulations with Rocky DEM and Ansys Fluent, a representative slice of a wet operated stirred media mill was simulated with varying tip speeds and grinding bead diameters (Thon et al, 2022a;2022b). Heatmaps were extracted, with each voxel representing the averaged values of relative velocities.…”
Section: Grindingmentioning
confidence: 99%
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“…Simulation-based modeling and breakdown for mechanistic modeling: AI modeling based on simulations is an approach with distinct advantages due to the coupling of two numerical approaches, as they can autonomously interact with one another unsupervised (for instance in active learning (AL), etc.). As an example, on the basis of two-way coupled computer fluid dynamics -discrete element method (CFD-DEM) simulations with Rocky DEM and Ansys Fluent, a representative slice of a wet operated stirred media mill was simulated with varying tip speeds and grinding bead diameters (Thon et al, 2022a;2022b). Heatmaps were extracted, with each voxel representing the averaged values of relative velocities.…”
Section: Grindingmentioning
confidence: 99%
“…Based on evaluated generalizing models, AI predictions can be obtained in inference for a large parameter space of high resolution whose systematic simulation, if performed completely, can take significantly longer. In the case of the wet mill simulation, systematic AI predictions were generated in the order of seconds, which would have taken time in the range of years with conventional CFD-DEM simulations (Thon et al, 2022a;2022b).…”
Section: Grindingmentioning
confidence: 99%