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Solute transport in fluid-particle systems is a fundamental process innumerous scientific and engineering disciplines. The simulation of itnecessitates the consideration of solid particles with intricate shapes andsizes. To address this challenge, this study proposes the Random-WalkMetaball-Imaging Discrete Element Lattice Boltzmann Method (RW-MI-DELBM). Inthis model, we reconstruct particle geometries with the Metaball-Imagingalgorithm, capture the particle behavior using the Discrete Element Method(DEM), simulate fluid behavior by the Lattice Boltzmann Method (LBM), andrepresent solute behavior through the Random Walk Method (RWM). Through theintegration of these techniques with specially designed boundary conditions, weachieve to simulate the solute transport in fluid-particle systems comprisingcomplex particle morphologies. Thorough validations, including analyticalsoluutions and experiments, are performed to assess the robustness and accuracyof this framework. The results demonstrate that the proposed framework canaccurately capture the complex dynamics of solute transport under strict massconservation. In particular, an investigation is carried out to assess theinfluence of particle morphologies on solute transport in a 3D oscillator, witha focus on identifying correlations between shape features and dispersioncoefficients. Notably, all selected shape features exhibited strongcorrelations with the dispersion coefficient, indicating the significantinfluence of particle shapes on transport phenomena. However, due to thecomplexity of the relationship and the limited number of simulations, no clearpatterns could be observed. Further comprehensive analyses incorporating abroader range of shape features and varying conditions are necessary to fullycomprehend their collective influence on the dispersion coefficient.

Random-Walk Metaball-Imaging Discrete Element Lattice Boltzmann Method  for 3D Solute Transport in Fluid-Particle Systems with Complex Granular  Morphologies