Baoan Wang

Papers

Total Citations

H-Index

About

Dr. Baoan Wang is a researcher whose work centers on the discrete element modeling (DEM) of granular materials, with a particular focus on agricultural and food processing applications. His most cited paper, "Parameter Calibration of Discrete Element Model of Wine Lees Particles" (2024, 6 citations), exemplifies his core contribution: developing rigorous, test-based methods for calibrating particle interaction parameters. By proposing a novel approach using the angle of repose test, Dr. Wang enables more accurate simulations of how materials like wine lees behave when in contact with mechanical parts—critical for optimizing equipment like brewing robots. Though his citation count is still growing, his work addresses a fundamental bottleneck in DEM simulation: the need for reliable, experimentally validated parameter sets. This methodological contribution is essential for engineers designing more efficient processing machinery, reducing trial-and-error in physical prototyping. Dr. Wang’s research bridges the gap between theoretical particle dynamics and practical engineering design, making his findings valuable for both academic modelers and industry practitioners working with complex granular systems.