Abstract A validated coarse‐grained computational fluid dynamics ‐ discrete element method (CFD‐DEM) framework is developed to investigate the flow and mixing behavior of ultra‐high‐density particles (6700–10,960 kg/m 3 ), far exceeding the density of conventional fluidization studies. Results show that the increases in a two‐segment fashion with density, deviating from classical predictions in the ultra‐dense regime. Despite low Archimedes numbers (9–15) predicting Group A classification, pressure fluctuation and bed expansion characteristics reveal a transition from Group B toward D behavior, demonstrating classification breakdown at extreme densities. For binary mixtures, pressure‐drop standard deviation serves as a dual diagnostic for both flow regimes and mixing states. Macroscopic mixing requires , with thresholds scaling nearly linearly with . Notably, systems with small density contrast achieve mixing more readily, even at higher absolute density. These findings provide a predictive framework for high‐density reactor design in nuclear‐fuel conversion.
Li et al. (Sun,) studied this question.