TY - JOUR
T1 - Solid–liquid–gas-like phase transition in electric field driven dense granular media
AU - Zhang, Zhao
AU - Wang, Yongjun
AU - Jimidar, Ignaas S.M.
AU - Ye, Xiaoyan
PY - 2024/9
Y1 - 2024/9
N2 - The polarization induced by an external electric field significantly influences the contact charge of particles. It can easily cause solid–liquid–gas-like phase transitions in dense granular media, which are the key factors leading to environmental and safety disasters such as sandstorms, volcanic eruptions, and spacecraft emergencies. In this letter, our investigation focused on a densely packed granular system with different thicknesses subjected to bottom excitation and an external electric field. Using the discrete element method (DEM), we proposed conditions for the first- and second-order phase transitions and revealed the mechanism of electrical signal transformation. We presented the physical characteristics of charge and polarization diffusion coefficients for charged particles, and introduced a theoretical Turing model to predict critical phase transitions. Additionally, this phase transition model was extended to the application of electrostatic dust removal, quantitatively predicting the relationship between dust removal efficiency, particle layer thickness, and electric field intensity.
AB - The polarization induced by an external electric field significantly influences the contact charge of particles. It can easily cause solid–liquid–gas-like phase transitions in dense granular media, which are the key factors leading to environmental and safety disasters such as sandstorms, volcanic eruptions, and spacecraft emergencies. In this letter, our investigation focused on a densely packed granular system with different thicknesses subjected to bottom excitation and an external electric field. Using the discrete element method (DEM), we proposed conditions for the first- and second-order phase transitions and revealed the mechanism of electrical signal transformation. We presented the physical characteristics of charge and polarization diffusion coefficients for charged particles, and introduced a theoretical Turing model to predict critical phase transitions. Additionally, this phase transition model was extended to the application of electrostatic dust removal, quantitatively predicting the relationship between dust removal efficiency, particle layer thickness, and electric field intensity.
KW - n/a OA procedure
U2 - 10.1016/j.ijmultiphaseflow.2024.104907
DO - 10.1016/j.ijmultiphaseflow.2024.104907
M3 - Article
SN - 0301-9322
VL - 179
JO - International journal of multiphase flow
JF - International journal of multiphase flow
M1 - 104907
ER -