Modeling Electrostatic Levitation of Dust Particles on Lunar Surface

Wang, J.; He, Xiaoming; Cao, Yong

doi:10.1109/tps.2008.2003016

Cited by 60 publications

(15 citation statements)

References 17 publications

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“…However, since surface potential is sensitive to the lunar Debye length and solar plasma flow conditions over the lunar grains, reported values for the surface potential from different studies differ greatly. For instance, Manka (1973) and Farrell et al (2007) used a plasma model at the terminator suggesting 50 V for the lunar surface potential while the particle-in-cell simulations of Wang et al (2008) on Poisson's equation resulted in the surface potential ranging from 0 to ±30 V. On the other hand, measurements by lunar prospector obtained the range of -35 to -100 V on the lunar night side (Dove et al, 2010). Since particles accumulate charges on their surfaces, the upper limit of the reported values was opted for this study.…”

Section: Lunar Dust Particlesmentioning

confidence: 99%

Influence of Back Electrostatic Field on the Collection Efficiency of an Electrostatic Lunar Dust Collector

Afshar-Mohajer

Thakker

et al. 2014

Aerosol Air Qual. Res.

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Protecting sensitive surfaces from dust deposition in the limiting condition of the lunar atmosphere is imperative for space exploration. In this study, how back electrostatic field due to charge build-up on collection plates may affect the performance of an electrostatic lunar dust collector (ELDC) was investigated. The relationships between ELDC dimensions, collection efficiency and electrical properties of lunar dust particles were derived to develop a model, appropriate for any size of the ELDC. A Lagrangian-based discrete element method (DEM) was applied to track particle trajectories, and sensitivity analyses were conducted for the concentration of the incoming particles, the number of pre-collected particles and the applied voltages. The results revealed that the collection efficiency reduced over time due to the back electrostatic field of the collected particles, which ultimately led to a suspended regime, rather than just collected and penetrated fractions considered in conventional models. The generated back electrostatic field and the cloud of suspended particles were strong enough to disrupt the performances of both the ELDC and the protected device. The maximum time ELDC can run without significant loss in collection efficiency was estimated to be 10 terrestrial days for the studied ELDC size and applied voltage. Because the electrical power was negligible compared to the provided power by the solar panels, increasing the applied voltage was found to be the best option to counteract back electrostatic growth.

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Section: Lunar Dust Particlesmentioning

confidence: 99%

Influence of Back Electrostatic Field on the Collection Efficiency of an Electrostatic Lunar Dust Collector

Afshar-Mohajer

Thakker

et al. 2014

Aerosol Air Qual. Res.

View full text Add to dashboard Cite

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“…As an another example, in electroencephalography, a background Cartesian mesh for a head model can be constructed by the pixels of magnetic resonance images (MRIs) [49] for finite element computation. We refer readers to [36,49,51] for the applications of IFE methods in these fields.…”

Section: Introductionmentioning

confidence: 99%

An immersed finite element method for elliptic interface problems in three dimensions

Guo

Lin

2020

Journal of Computational Physics

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“…Due to the above advantages, the IFE methods have been developed together with particle‐in‐cell (PIC) method for different interface problems and plasma simulation problems . The IFE‐PIC method has also been extended to handle unbounded interface problems with asymptotic boundary condition and periodic boundary condition .…”

Section: Introductionmentioning

confidence: 99%

Three‐dimensional immersed finite‐element method for anisotropic magnetostatic/electrostatic interface problems with nonhomogeneous flux jump

Yang

Bai

et al. 2020

Numerical Meth Engineering

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Summary Anisotropic diffusion is important to many different types of common materials and media. Based on structured Cartesian meshes, we develop a three‐dimensional (3D) nonhomogeneous immersed finite‐element (IFE) method for the interface problem of anisotropic diffusion, which is characterized by an anisotropic elliptic equation with discontinuous tensor coefficient and nonhomogeneous flux jump. We first construct the 3D linear IFE space for the anisotropic nonhomogeneous jump conditions. Then we present the IFE Galerkin method for the anisotropic elliptic equation. Since this method can efficiently solve interface problems on structured Cartesian meshes, it provides a promising tool to solve the physical models with complex geometries of different materials, hence can serve as an efficient field solver in a simulation on Cartesian meshes for related problems, such as the particle‐in‐cell simulation. Numerical examples are provided to demonstrate the features of the proposed method.

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Modeling Electrostatic Levitation of Dust Particles on Lunar Surface

Cited by 60 publications

References 17 publications

Influence of Back Electrostatic Field on the Collection Efficiency of an Electrostatic Lunar Dust Collector

Influence of Back Electrostatic Field on the Collection Efficiency of an Electrostatic Lunar Dust Collector

An immersed finite element method for elliptic interface problems in three dimensions

Three‐dimensional immersed finite‐element method for anisotropic magnetostatic/electrostatic interface problems with nonhomogeneous flux jump

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