Effect of powder feeding rate on electric charging and discharging in powder loading

Shoyama, Mizuki; Osada, Yuki; Suzuki, Toshisada; Choi, Kwangseok

doi:10.1016/j.powtec.2023.118538

Cited by 3 publications

(1 citation statement)

References 23 publications

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“…An electrostatic ionizer with a modeling test device was developed to measure the charge-neutralizing current. Four-typed discharging (brush, linear, broad, and dot) were observed during continuous powder loading, which differs in terms of generation time and duration [22]. The results showed that the charge-to-mass ratio increased as the powder feeding rate decreased, and the risk of ESD was dramatically reduced as the net charge decreased.…”

Section: Introductionmentioning

confidence: 98%

Charge Characteristics of Dielectric Particle Swarm Involving Comprehensive Electrostatic Information

Feng,

Shen,

Wang

et al. 2023

Micromachines

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The triboelectrification effect caused by dynamic contact between particles is an issue for explosions caused by electrostatic discharging (ESD) in the triboelectric nanogenerators (TENGs) for powering the flexible and wearable sensors. The electrostatic strength of dielectric particles (surface charge density, surface potential, electric field, etc.) is essential to evaluate the level of ESD risk. Those differential electrostatic characteristics concerned with unhomogenized swarmed particles cannot be offered via in-current employed-joint COMSOL 6.1 simulation, in which the discrete charged dielectric particles are mistakenly regarded as continuous ones. In this paper, the hybrid discrete element method (EDEM tool) associated with programming in COMSOL Multiphysics 6.1 with MATLAB R2023a was employed to obtain the electrostatic information of the triboelectric dielectric particle swarm. We revealed that the high-accuracy strengths of electric potential and electric field inside particle warm are crucial to evaluating ESD risk. The calculated electrostatic characteristics differ from the grid method and continuous method in the surface potential and electric field. This EDEM-based simulation method is significant for microcosmic understanding and the assessment of the ESD risk in TENGs.

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Section: Introductionmentioning

confidence: 98%