1996
DOI: 10.1016/0042-207x(96)00068-1
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Rarefied gas flow between two flat plates with two dimensional surface roughness

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Cited by 25 publications
(9 citation statements)
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“…They then introduced the ratio of the mean free path to the roughness size /A to judge the no-slip boundary condition for rarefied gas flows in microchannels. Recently, Sugiyama et al [20] and Turner et al [21] measured experimentally the friction of gas flows in microchannels and found that the surface roughness could lead to a larger friction than the predictions of the Maxwell model. Cao et al [22,23] applied molecular dynamics simulations to study the roughness effect on microscale gas flows.…”
Section: Introductionmentioning
confidence: 98%
“…They then introduced the ratio of the mean free path to the roughness size /A to judge the no-slip boundary condition for rarefied gas flows in microchannels. Recently, Sugiyama et al [20] and Turner et al [21] measured experimentally the friction of gas flows in microchannels and found that the surface roughness could lead to a larger friction than the predictions of the Maxwell model. Cao et al [22,23] applied molecular dynamics simulations to study the roughness effect on microscale gas flows.…”
Section: Introductionmentioning
confidence: 98%
“…As a matter of fact, for gaseous flow in microchannels, the effect of surface roughness is more complex and difficult to measure as the dimensions of channels approach microlevel. 1, 10,12,15,20,21 To overcome this restrict in experiments, some numerical methods have been developed to investigate surface roughness on gaseous flow in microchannels in the past several years, such as the direct simulation Monte Carlo ͑DSMC͒ method, 22,23 finite volume ͑FV͒ method, 24,25 finite element ͑FE͒ method, 26 arbitrary-Lagrangian-Eulerian method ͑ALM͒, 27 and molecular dynamics ͑MD͒ method. 28,29 However, the DSMC usually suffers from the expensive computational cost, highly statistical noise, and some error sources in simulating low speed flows.…”
Section: Introductionmentioning
confidence: 99%
“…A number of statistical models of the wall roughness such as randomly distributed conical surfaces, periodically corrugated channel surface etc. was proposed in [6,2,7,8,9]. Other example of the statistical model is an application of porous media model for rough microchannels [10].…”
Section: Introductionmentioning
confidence: 99%