Effect of particle segregation on non-uniform electrostatic charge distribution in cylindrical silo during loading binary particles with size ratio of 2.5:1 centrally

Zhou, Qun; Chen, Xiaoping; Liang, Cai; Ma, Jiliang

doi:10.1016/j.powtec.2020.10.018

Cited by 13 publications

(3 citation statements)

References 45 publications

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“…The grid method is proposed to solve the uneven particle distribution by counting the total charge of a specific region and dividing that charge by the volume to determine the space charge density [27]. The single-layer meshing is expanded to the multi-layer one, and their irregular regions are divided.…”

Section: Simulation Methodsmentioning

confidence: 99%

“…However, the generation of electric potential and electric field among individual particles cannot be obtained in discrete element tools and by failing to judge the level of ESD. Liang et al employed the grid method to import the particle information obtained from EDEM into the COMSOL tool [27]. The unhomogenized electrostatic property inside the particle swarm was tentatively simulated by dividing the regions and counting the amount of charge in different regions in this method.…”

Section: Introductionmentioning

confidence: 99%

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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: Simulation Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Charge Characteristics of Dielectric Particle Swarm Involving Comprehensive Electrostatic Information

Feng,

Shen,

Wang

et al. 2023

Micromachines

View full text Add to dashboard Cite

show abstract

“…Triboelectric charging causes a build-up of charge in particulate systems. In industrial environments, the excessive build-up causes unwanted agglomeration and wall-sheeting in the fluidized beds [1][2][3][4][5], pneumatic conveyors [6][7][8][9][10], or during powder handling in general [11]. This is an especially severe problem in the pharmaceutical industry [12][13][14][15] because the formulation of powders is strictly given and often cannot be changed to reduce the charging.…”

Section: Introductionmentioning

confidence: 99%

Influence of the Reynolds number from Re_τ = 150 to 210 on size-dependent bipolar charging

Jantač,

Grosshans

2024

J. Phys.: Conf. Ser.

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We recently found wall-bounded turbulence to suppress and control bipolar triboelectric charging of particles of identical material. This control is due to fluid modifying the motion of light particles. Thus, the particles’ charge distribution depends on their Stokes number distribution. More specifically, fluid forces narrow the bandwidth of the charge distribution, and bipolar charging reduces dramatically. Consequently, not the smallest but mid-sized particles collect the most negative charge. However, the influence of the Reynolds number or particle concentration on bipolar charging of polydisperse particles is unknown. This paper presents the charging simulations of same-material particles the in different wall-bounded flows. In a comprehensive study, we vary the Reynolds number from Reτ = 150 to 210 and the particle number density from 4 × 109m-3 to 1 × 1010m-3 to further explore the influence of the carrier flow on bipolar charging. We model charge transfer based on the balance of transferable charge species. Such species can represent adsorbed ions transferred during collisions or free electrons captured into a lower energy state on the other surface. The turbulent flow is modeled via Direct Numerical Simulations (DNS) and is coupled to the particulate phase modeled via the Discrete Element Method (DEM). Overall, our multiphysics approach couples the fluid dynamics, electric field, triboelectric charging, and particle momentum into one complex simulation.

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Understanding influence of metal protrusion on electrostatic discharge in conical-cylindrical silo based on electric field simulation

Zhou

Choi

Zhang

et al. 2021

Advanced Powder Technology

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Effect of particle segregation on non-uniform electrostatic charge distribution in cylindrical silo during loading binary particles with size ratio of 2.5:1 centrally

Cited by 13 publications

References 45 publications

Charge Characteristics of Dielectric Particle Swarm Involving Comprehensive Electrostatic Information

Charge Characteristics of Dielectric Particle Swarm Involving Comprehensive Electrostatic Information

Influence of the Reynolds number from Re_τ = 150 to 210 on size-dependent bipolar charging

Understanding influence of metal protrusion on electrostatic discharge in conical-cylindrical silo based on electric field simulation

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Effect of particle segregation on non-uniform electrostatic charge distribution in cylindrical silo during loading binary particles with size ratio of 2.5:1 centrally

Cited by 13 publications

References 45 publications

Charge Characteristics of Dielectric Particle Swarm Involving Comprehensive Electrostatic Information

Charge Characteristics of Dielectric Particle Swarm Involving Comprehensive Electrostatic Information

Influence of the Reynolds number from Reτ = 150 to 210 on size-dependent bipolar charging

Understanding influence of metal protrusion on electrostatic discharge in conical-cylindrical silo based on electric field simulation

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Product

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Influence of the Reynolds number from Re_τ = 150 to 210 on size-dependent bipolar charging