TY - JOUR
T1 - Dynamic simulation of electrostatic discharge and energy of charged particles in falling processes
AU - Shen, Xing Feng
AU - Feng, Yue
AU - Yang, Zhaoxu
N1 - Publisher Copyright:
© 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
PY - 2027/2/1
Y1 - 2027/2/1
N2 - Electrostatic discharge (ESD) is a primary hazard in chemical production. To eliminate the associated safety risks, it is essential to investigate the coupling between ESD and material ignition. This paper proposes a coupled DEM-FEM method for dynamically simulating the electrostatic field, modeling falling particles individually and accumulated heaps as bulk geometries, reducing the per-frame simulation time to hours and minutes, respectively. For falling particles, the feed rate dominates the electrostatic energy, followed by the charge-to-mass ratio (CMR) and permittivity, while for adhered particles, the energy increases nonlinearly with CMR and permittivity once thresholds are exceeded. For accumulated heaps, incorporating dynamic ESD keeps the field fluctuating around 3 MV/m and limits the energy to several hundred millijoules, consistent with the minimum ignition energy of energetic materials. Internal discharges occur at the bottom and side walls, whereas surface discharges include brush, propagating brush, point, and conical forms; the released energy correlates positively with reductions in electrostatic potential and field strength. Charge dissipation consistently suppresses surface discharge energy and, for a given drop in potential or field strength, yields a smaller released ESD energy. The evaluation criterion is advanced from field strength to electrostatic energy, allowing direct comparison with ignition risk. The electrostatic energy of falling, adhered, and accumulated particles lies in the microjoule, millijoule, and hundred-millijoule ranges, respectively, and can sequentially ignite dust clouds, Ti powders, and RDX. Thus, the electrostatic risk at different process locations can be differentiated and estimated accordingly.
AB - Electrostatic discharge (ESD) is a primary hazard in chemical production. To eliminate the associated safety risks, it is essential to investigate the coupling between ESD and material ignition. This paper proposes a coupled DEM-FEM method for dynamically simulating the electrostatic field, modeling falling particles individually and accumulated heaps as bulk geometries, reducing the per-frame simulation time to hours and minutes, respectively. For falling particles, the feed rate dominates the electrostatic energy, followed by the charge-to-mass ratio (CMR) and permittivity, while for adhered particles, the energy increases nonlinearly with CMR and permittivity once thresholds are exceeded. For accumulated heaps, incorporating dynamic ESD keeps the field fluctuating around 3 MV/m and limits the energy to several hundred millijoules, consistent with the minimum ignition energy of energetic materials. Internal discharges occur at the bottom and side walls, whereas surface discharges include brush, propagating brush, point, and conical forms; the released energy correlates positively with reductions in electrostatic potential and field strength. Charge dissipation consistently suppresses surface discharge energy and, for a given drop in potential or field strength, yields a smaller released ESD energy. The evaluation criterion is advanced from field strength to electrostatic energy, allowing direct comparison with ignition risk. The electrostatic energy of falling, adhered, and accumulated particles lies in the microjoule, millijoule, and hundred-millijoule ranges, respectively, and can sequentially ignite dust clouds, Ti powders, and RDX. Thus, the electrostatic risk at different process locations can be differentiated and estimated accordingly.
KW - Charged particles
KW - Electrostatic discharge
KW - Electrostatic energy
KW - Minimum ignition energy
UR - https://www.scopus.com/pages/publications/105045402625
U2 - 10.1016/j.ces.2026.124722
DO - 10.1016/j.ces.2026.124722
M3 - Article
AN - SCOPUS:105045402625
SN - 0009-2509
VL - 338
JO - Chemical Engineering Science
JF - Chemical Engineering Science
M1 - 124722
ER -