2023
DOI: 10.3390/mi14010139
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Numerical Study of Gas Flow in Super Nanoporous Materials Using the Direct Simulation Monte-Carlo Method

Abstract: The direct simulation Monte Carlo (DSMC) method, which is a probabilistic particle-based gas kinetic simulation approach, is employed in the present work to describe the physics of rarefied gas flow in super nanoporous materials (also known as mesoporous). The simulations are performed for different material porosities (0.5≤ϕ≤0.9), Knudsen numbers (0.05≤Kn≤1.0), and thermal boundary conditions (constant wall temperature and constant wall heat flux) at an inlet-to-outlet pressure ratio of 2. The present computa… Show more

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Cited by 9 publications
(3 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%
“…DSMC has also been successfully validated in comparison with experimental and analytical results for shock waves in hypersonic applications [16][17][18]. The DSMC method has been accepted as one of the major numerical approaches for supersonic vehicle design and rarefied gas applications by improving the collision models [19,20], chemical reactions [21], ionization [22], radiation coupling [23], nanoporous material [24], and a hybrid technique with CFD [25]. However, this particle-based numerical approach is highly dependent on the performance of the computing hardware and requires many parallel-core machines.…”
Section: Introductionmentioning
confidence: 99%
“…A similar issue arises when the computational grid resolution is increased in specific regions of the physical domain to capture intense local gradients (e.g. shock waves [17,18] or flow passages with sudden expansion or contractions [19,20]). This reduction in the number of PPC has two consequences.…”
mentioning
confidence: 99%