Benchmark numerical simulations of rarefied non-reacting gas flows using an open-source DSMC code

Palharini, Rodrigo Cassineli; White, Craig; Scanlon, Thomas; Brown, Richard E.; Borg, Matthew K.; Reese, Jason M.

doi:10.1016/j.compfluid.2015.07.021

Cited by 53 publications

(23 citation statements)

References 60 publications

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“…How the effective pore size equation [Eq. (16)] should be modified to meet all types of natural and engineering used porous media will be further studied in our future work. …”

Section: Discussionmentioning

confidence: 99%

“…The DSMC code used in the present work has been implemented in OpenFOAM, an open-source C + + tool box for computational fluid dynamics [6,16]. The computation domain is divided into a large number of grid cells, and the cell length is carefully chosen such that it is a fraction (1/3, in this study) of the smallest mean free path.…”

Section: A Dsmc Methodsmentioning

confidence: 99%

“…The number of DSMC particles and the average linear kinetic energy are monitored in the simulations. After the flow reach steady states (The solution was considered to be steady when the two monitored parameters do not change over time [16]), time averaging of the instantaneous microscopic properties is performed to build up the macroscopic fields.…”

Section: -4mentioning

confidence: 99%

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Investigation of the Klinkenberg effect in a micro/nanoporous medium by direct simulation Monte Carlo method

Yang

2018

Phys. Rev. Fluids

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The pressure-driven gas transport characteristics through a porous medium consisting of arrays of discrete elements is investigated by using the direct simulation Monte Carlo (DSMC) method. Different porous structures are considered, accounting for both two-and three-dimensional arrangements of basic microscale and nanoscale elements. The pore scale flow patterns in the porous medium are obtained, and the Knudsen diffusion in the pores is studied in detail for slip and transition flow regimes. A new effective pore size of the porous medium is defined, which is a function of the porosity, the tortuosity, the contraction factor, and the intrinsic permeability of the porous medium. It is found that the Klinkenberg effect in different porous structures can be fully described by the Knudsen number characterized by the effective pore size. The accuracies of some widely used Klinkenberg correlations are evaluated by the present DSMC results. It is also found that the available correlations for apparent permeability, most of which are derived from simple pipe or channel flows, can still be applicative for more complex porous media flows, by using the effective pore size defined in this study.

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“…How the effective pore size equation [Eq. (16)] should be modified to meet all types of natural and engineering used porous media will be further studied in our future work. …”

Section: Discussionmentioning

confidence: 99%

Section: A Dsmc Methodsmentioning

confidence: 99%

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Investigation of the Klinkenberg effect in a micro/nanoporous medium by direct simulation Monte Carlo method

Yang

2018

Phys. Rev. Fluids

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“…All DSMC simulations (both fullscale DSMC as well as IMM subdomain atomistic solutions) have been carried out using the dsmcFoam + code (White et al 2017). The dsmcFoam + code operates within the framework of the open source CFD code, OpenFOAM (2014), and has been validated for a wide range of benchmark test cases (John et al 2016;Palharini et al 2015;Scanlon et al 2010;White et al 2017). To ensure accuracy of both our subdomain and full DSMC simulations, we have followed the established guidelines with respect to the cell size, time step, and particle numbers (Alexander et al 1998;Hadjiconstantinou 2000;Hadjiconstantinou et al 2003).…”

Section: Resultsmentioning

confidence: 99%

Simulation of the head-disk interface gap using a hybrid multi-scale method

John

Lockerby

Patronis

et al. 2018

Microfluid Nanofluid

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We present a hybrid multi-scale method that provides a capability to capture the disparate scales associated with modelling flow in micro-and nano-devices. Our model extends the applicability of an internal-flow multi-scale method by providing a framework to couple the internal (small scale) flow regions to the external (large scale) flow regions. We demonstrate the application of both the original methodology and the new hybrid approach to model the flow field in the vicinity of the head-disk interface gap of a hard disk drive enclosure. The internal flow regions within the gap are modelled by an extended internal-flow multi-scale method that utilises a finite-difference scheme for non-uniform grids. Our proposed hybrid multiscale method is then employed to couple the internal micro-flow region to the flow external to the gap, to capture entrance/ exit effects. We also demonstrate the successful application of the method in capturing other localised phenomena (e.g. those due to localised wall heating).Publisher's Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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“…The DSMC simulations have been performed using dsmcFoam [21] which operates within the framework of the open-source code, OpenFOAM [22]. The dsmcFoam C++ library has previously been validated against a variety of benchmark test cases involving a wide range of flow conditions [23,24]. Additional validation tests have been presented by the authors [19] comparing the computed drag coefficient for flow past a stationary (non-rotating) cylinder against experimental data [25] and the analytical free-molecular solution [26].…”

Section: Dsmc Code and Problem Formulationmentioning

confidence: 99%

On the inverse Magnus effect for flow past a rotating cylinder

John¹,

Gu²,

Barber³

et al. 2016

AIP Conference Proceedings

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Citation: B John et al. "On the inverse Magnus effect for flow past a rotatingAbstract. Flow past a rotating cylinder has been investigated using the direct simulation Monte Carlo method. The study focuses on the occurrence of the inverse Magnus effect under subsonic flow conditions. In particular, the variations in the coefficients of lift and drag have been investigated as a function of the Knudsen and Reynolds numbers. Additionally, a temperature sensitivity study has been carried out to assess the influence of the wall temperature on the computed aerodynamic coefficients. It has been found that both the Reynolds number and the cylinder wall temperature significantly affect the drag as well as the onset of lift inversion in the transition flow regime.

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Benchmark numerical simulations of rarefied non-reacting gas flows using an open-source DSMC code

Cited by 53 publications

References 60 publications

Investigation of the Klinkenberg effect in a micro/nanoporous medium by direct simulation Monte Carlo method

Investigation of the Klinkenberg effect in a micro/nanoporous medium by direct simulation Monte Carlo method

Simulation of the head-disk interface gap using a hybrid multi-scale method

On the inverse Magnus effect for flow past a rotating cylinder

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