Research Article110.1016/j.apt.2025.104805Hurst analysis via multi-scale resolution to diagnose flow regimes in gas–solid micro-fluidized bedsMar 01, 2025Advanced Powder TechnologyYanjun Li + 3 more +3CiteListenSave
Research Article710.1016/j.apt.2025.104809On DEM simulation of loose packing behaviour of fine and cohesive particlesMar 01, 2025Advanced Powder TechnologyKimiaki Washino + 5 more +5• Two commonly used force models are compared for simulating fine and cohesive particles. • Non-bonded force may not necessarily solely responsible for loose packing. • Cluster formation of free falling particles has a large impact on the packing fraction. • Simulation domain should be large enough to capture inter-cluster structures. • Equivalent inter-particle potential energy can give similar packing structures. While Discrete Element Method (DEM) is widely used to simulate fine and cohesive granular materials, accurately capturing real-life packing behaviour requires further investigation on the (i) types of attraction forces and (ii) cluster formation during free fall. In the present study, simulations of various scenarios have been performed to investigate the impacts of particle insertion methods on the resultant packing fraction. The results suggest that the introduction of initial vertical velocity fluctuations during stream insertion can lead to consistent formation of clusters of free falling particles, which is a key factor for achieving loose packing of cohesive particles. We then tested and compared two commonly used attraction force models: the JKR surface adhesion force and non-bonded van der Waals force models. It is revealed that the packing fractions and coordination numbers of the final beds are comparable across different attraction force models as long as the following two conditions are met at the same time: (i) the surface energy density is adjusted (by approximately 2.6 times) to match the total potential energy between a pair of particles and (ii) the initial vertical velocity fluctuations are assigned to form particle clusters during free fall.Read moreCiteListenSave
Research Article810.1016/j.apt.2025.104792Study on the effect of acidification reaction conditions on the pore structure of coal samples based on 2D NMR T1-T2Mar 01, 2025Advanced Powder TechnologyGuanhua Ni + 6 more +6CiteListenSave
Research Article10.1016/s0921-8831(25)00017-2Full title (Editorial Board Members)Feb 01, 2025Advanced Powder TechnologyCiteListenSave
Research Article10.1016/j.apt.2024.104746Innovative dispersant for reducing heterogeneous coagulation of pentlandite and serpentine and new insight for their dispersionJan 01, 2025Advanced Powder TechnologyYuxin Xie + 6 more +6CiteListenSave
Research Article510.1016/j.apt.2024.104755Measuring fluidization behaviors of monodisperse non-spherical particles and binary mixtures of spheres with cylindersJan 01, 2025Advanced Powder TechnologyYihao Wen + 6 more +6CiteListenSave
Research Article10.1016/j.apt.2024.104745Exploring pharmaceutical powder cohesion through the Warren Spring cohesion testJan 01, 2025Advanced Powder TechnologyZankrut D Vyas + 5 more +5CiteListenSave
Research Article510.1016/j.apt.2024.104714Microwave assisted sol gel synthesis of Fe2O3@TiO2 core–shell nanocomposite for the enhanced photocatalytic activity under visible light and the investigation of their optical propertiesDec 01, 2024Advanced Powder TechnologyMd Obaidullah + 6 more +6CiteListenSave
Research Article410.1016/j.apt.2024.104723Spatiotemporal distribution visualization of solid volume fraction during LiCl-KCl molten salt solidification by thermal-compensated electrical resistance tomography (tcERT)Dec 01, 2024Advanced Powder TechnologySo Segawa + 4 more +4CiteListenSave
Front Matter10.1016/s0921-8831(24)00413-8Inside Front Cover (Aims & Scope, Editors)Dec 01, 2024Advanced Powder TechnologyCiteListenSave