2008
DOI: 10.1116/1.3043463
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Computational and experimental study of gas flows through long channels of various cross sections in the whole range of the Knudsen number

Abstract: A computational and experimental study has been performed for the investigation of fully developed rarefied gas flows through channels of circular, orthogonal, triangular, and trapezoidal cross sections. The theoretical-computational approach is based on the solution of the Bhatnagar-Gross-Krook kinetic equation subject to Maxwell diffuse-specular boundary conditions by the discrete velocity method. The experimental work has been performed at the vacuum facility "TRANSFLOW," at Forschungszentrum Karlsruhe and … Show more

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Cited by 92 publications
(63 citation statements)
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“…This is the same assumption which allows the modeling of the flow as a linear fully developed flow (Sharipov 1999;Varoutis et al 2009). …”
Section: Values Of Coefficients C I Are Given Inmentioning
confidence: 99%
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“…This is the same assumption which allows the modeling of the flow as a linear fully developed flow (Sharipov 1999;Varoutis et al 2009). …”
Section: Values Of Coefficients C I Are Given Inmentioning
confidence: 99%
“…For the purposes of the present work, we focus on the mass flow rate, which is calculated from (Sharipov and Seleznev 1998;Varoutis et al 2009) by…”
Section: Kinetic Models-for Whole Knudsen Rangementioning
confidence: 99%
“…The popularity of this approach is based on the fact that the model is simple, easily understood at both microscopic and macroscopic level, while the associated numerical effort for its implementation is minimal. For this purpose, it has been used in a variety of physical systems, providing good results in agreement with corresponding experimental findings [74,121]. However, in some cases, the gas may behave much differently.…”
Section: Boundary Condition Modelssupporting
confidence: 53%
“…Thus, we can discretize the kinetic equations in the physical and molecular velocity space and solve only for these specific discrete velocities in an iterative manner. This method has been used extensively in several works [73,74,75] and is particularly suitable when the distribution function can be linearized in terms of a small parameter [76,77].…”
Section: Methodsmentioning
confidence: 99%
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