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Kinetic modeling of dust grain dynamics in electrostatic sieving

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Abstract

A new kinetic particle modeling framework was developed to investigate electrostatic transport of lunar regolith dust particles with applications to the concept of electrostatic sieving. The new approach is based on kinetic particle dynamics and includes major modules of sampling the particle size distribution, solving electric fields, and tracking motion of charged dust grains. A case study for a concept of electrostatic sieving was chosen to validate the new model. The simulation achieved similar performance of particle size classification as reported in the literature. The new model is computationally efficient (takes a few minutes on a PC-type laptop computer) so that researchers can use it as a design and analysis tool to explore large parameter space for system optimization.

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Acknowledgements

The authors would like to thank Kevin Marshall for assistance in setting up the simulations. This work was partially supported by NASA Lunar Surface Technology Research (LuSTR) and Physical Sciences Informatics (PSI) programs, NASA Missouri Space Grant Consortium, National Science Foundation (NSF) DMS-2111039, and Missouri University of Science and Technology’s Department of Mechanical and Aerospace Engineering Distinguished Undergraduate Research Fellowship. The simulations presented here were carried out with computing resources provided by the Center for High Performance Computing Research at Missouri University of Science and Technology through an NSF Grant OAC-1919789.

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Author notes

  1. A. Berkhoff and E. Ingram contributed equally.

Authors and Affiliations

  1. Department of Mechanical and Aerospace Engineering, Missouri University of Science and Technology, 400 W. 13th St., Rolla, MO, 65409, USA

    Aaron Berkhoff, Easton Ingram, David Bayless & Daoru Han

  2. Department of Chemical and Biochemical Engineering, Missouri University of Science and Technology, 1101 N. State St., Rolla, MO, 65409, USA

    Fateme Rezaei

  3. Department of Materials Science and Engineering, Missouri University of Science and Technology, 1400 N. Bishop Ave, Rolla, MO, 65409, USA

    Jeffrey Smith

  4. Department of Civil, Architectural and Environmental Engineering, Missouri University of Science and Technology, 1401 N. Pine St., Rolla, MO, 65409, USA

    William Schonberg

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  1. Aaron Berkhoff
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  5. David Bayless
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  7. Daoru Han
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Correspondence to Daoru Han.

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Berkhoff, A., Ingram, E., Rezaei, F. et al. Kinetic modeling of dust grain dynamics in electrostatic sieving. Comp. Part. Mech. (2024). https://doi.org/10.1007/s40571-024-00729-8

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  • DOI: https://doi.org/10.1007/s40571-024-00729-8

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