Poly-Gaussian model of randomly rough surface in rarefied gas flow

Surface roughness is simulated by the model of non-Gaussian random process. Our results for the scattering of rarefied gas atoms from a rough surface using modified approach to the DSMC calculation of rarefied gas flow near a rough surface are developed and generalized applying the poly-Gaussian mod...

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Bibliographic Details
Main Authors: Aksenova, Olga A, Khalidov, Iskander A
Format: Conference Proceeding
Language:English
Subjects:
ATOMS
CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS
Computer simulation
COMPUTERIZED SIMULATION
DENSITY
Direct simulation Monte Carlo method
GAS FLOW
Gaussian process
GAUSSIAN PROCESSES
MATHEMATICAL MODELS
MIXTURES
MONTE CARLO METHOD
Normal distribution
Numerical methods
PROBABILITY
RANDOMNESS
Rarefied gases
ROUGHNESS
SCATTERING
Scattering functions
Surface roughness
SURFACES
TRANSFORMATIONS
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Summary:Surface roughness is simulated by the model of non-Gaussian random process. Our results for the scattering of rarefied gas atoms from a rough surface using modified approach to the DSMC calculation of rarefied gas flow near a rough surface are developed and generalized applying the poly-Gaussian model representing probability density as the mixture of Gaussian densities. The transformation of the scattering function due to the roughness is characterized by the roughness operator. Simulating rough surface of the walls by the poly-Gaussian random field expressed as integrated Wiener process, we derive a representation of the roughness operator that can be applied in numerical DSMC methods as well as in analytical investigations.
ISSN:0094-243X
1551-7616
DOI:10.1063/1.4902619