2022
DOI: 10.1063/5.0104613
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A novel transient-adaptive subcell algorithm with a hybrid application of different collision techniques in direct simulation Monte Carlo (DSMC)

Abstract: A novel hybrid transient adaptive subcell (TAS) direct simulation Monte Carlo (DSMC) algorithm is proposed to simulate rarefied gas flows in a wide range of Knudsen numbers. It is derived and analyzed by using a time and spatial discrete operator approach based on the non-homogeneous, local N-particle kinetic equation, first proposed by Stefanov. The novel algorithm is considered together with the standard and hybrid collision algorithms built on uniform grids. The standard collision algorithm uses only one si… Show more

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Cited by 22 publications
(5 citation statements)
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“…When the volume fraction of the primary phase (C) is zero means the primary phase is absent from the cell. The primary phase and secondary phase are both present in the cell when C is between 0 and 1, with the primary phase taking up some space in the cell [39,40].…”
Section: Governing Equationsmentioning
confidence: 99%
“…When the volume fraction of the primary phase (C) is zero means the primary phase is absent from the cell. The primary phase and secondary phase are both present in the cell when C is between 0 and 1, with the primary phase taking up some space in the cell [39,40].…”
Section: Governing Equationsmentioning
confidence: 99%
“…The hybrid algorithm employs NTC, GBT, or SBT depending on the instantaneous number of particles in the considered cell. The novel hybrid TAS algorithm benefits from both the hybrid collision approach and the transient adaptive subcell grid covering each collision cell to achieve a uniform accuracy of order O (Δt, Δr) independently of the number of particles in the cells [ 39 ].…”
Section: Numerical Simulationmentioning
confidence: 99%
“…Since its development, the DSMC method has been ameliorated and employed to investigate several canonical rarefied gas flow problems; see, e.g. Rana, Mohammadzadeh & Struchtrup (2015), Stefanov, Roohi & Shoja-Sani (2022), Taheri, Roohi & Stefanov (2022), Sadr & Hadjiconstantinou (2023) and references therein. Nevertheless, the DSMC method also demands a very high computational cost for processes in the transition regime.…”
Section: Introductionmentioning
confidence: 99%