Comparison of effects of particle charging, media characteristics, humidity and aerosols on loading performance of electret media

2020 ◽  
Vol 179 ◽  
pp. 106962
Author(s):  
Yongxiang Wang ◽  
Zhongping Lin ◽  
Wanyi Zhang
Keyword(s):  
Particle Charging ◽  
Media Characteristics

Dust particle charging and formation of dust structures in the upper atmosphere

JETP Letters ◽  
2000 ◽  
Vol 72 (7) ◽  
pp. 364-368 ◽  
Author(s):  
B. A. Klumov ◽  
S. I. Popel ◽  
R. Bingham
Keyword(s):  
Dust Particle ◽  
Upper Atmosphere ◽  
Particle Charging

FINE PARTICLE CHARGING WITH ELECTRO-HYDRODYNAMIC ATOMIZATION METHOD

2001 ◽  
Vol 32 ◽  
pp. 897-898
Author(s):  
K.H. AHN ◽  
J.H. AHN ◽  
J.U. YOON ◽  
K.Y. KIM
Keyword(s):  
Fine Particle ◽  
Particle Charging

scholarly journals Restraining Surface Charge Accumulation and Enhancing Surface Flashover Voltage through Dielectric Coating

Coatings ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 750
Author(s):  
Jixing Sun ◽  
Sibo Song ◽  
Xiyu Li ◽  
Yunlong Lv ◽  
Jiayi Ren ◽  
...  
Keyword(s):  
Charge Transfer ◽  
Electric Field ◽  
Electric Fields ◽  
Transition Process ◽  
Metallic Particle ◽  
Particle Charging ◽  
Insulating Surfaces ◽  
Surface Flashover ◽  
Charging Time ◽  
The Impact

A conductive metallic particle in a gas-insulated metal-enclosed system can charge through conduction or induction and move between electrodes or on insulating surfaces, which may lead to breakdown and flashover. The charge on the metallic particle and the charging time vary depending on the spatial electric field intensity, the particle shape, and the electrode surface coating. The charged metallic particle can move between the electrodes under the influence of the spatial electric field, and it can discharge and become electrically conductive when colliding with the electrodes, thus changing its charge. This process and its factors are mainly affected by the coating condition of the colliding electrode. In addition, the interface characteristics affect the particle when it is near the insulator. The charge transition process also changes due to the electric field strength and the particle charging state. This paper explores the impact of the coating material on particle charging characteristics, movement, and discharge. Particle charging, movement, and charge transfer in DC, AC, and superimposed electric fields are summarized. Furthermore, the effects of conductive particles on discharge characteristics are compared between coated and bare electrodes. The reviewed studies demonstrate that the coating can effectively reduce particle charge and thus the probability of discharge. The presented research results can provide theoretical support and data for studying charge transfer theory and design optimization in a gas-insulated system.

JSC Mars-1 Martian Regolith simulant particle charging experiments in a low pressure environment

2001 ◽  
Vol 53 (4) ◽  
pp. 257-266 ◽  
Author(s):  
Frank B. Gross ◽  
Sasha B. Grek ◽  
Carlos I. Calle ◽  
Rupert U. Lee
Keyword(s):  
Low Pressure ◽  
Particle Charging ◽  
Martian Regolith

scholarly journals Monte Carlo simulations of two-component drop growth by stochastic coalescence

2008 ◽  
Vol 8 (2) ◽  
pp. 7289-7313 ◽  
Author(s):  
L. Alfonso ◽  
G. B. Raga ◽  
D. Baumgardner
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Stochastic Algorithm ◽  
Aerosol Composition ◽  
Particle Charging ◽  
Two Component ◽  
Different Types ◽  
Framework Species ◽  
Stochastic Coalescence ◽  
Good Agreement

Abstract. The evolution of two-dimensional drop distributions is simulated in this study using a Monte Carlo method.~The stochastic algorithm of Gillespie (1976) for chemical reactions in the formulation proposed by Laurenzi et al. (2002) was used to simulate the kinetic behavior of the drop population. Within this framework species are defined as droplets of specific size and aerosol composition. The performance of the algorithm was checked by comparing the numerical with the analytical solutions found by Lushnikov (1975). Very good agreement was observed between the Monte Carlo simulations and the analytical solution. Simulation results are presented for bi-variate constant and hydrodynamic kernels. The algorithm can be easily extended to incorporate various properties of clouds such as including several crystal habits, different types of soluble CCN, particle charging and drop breakup.

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