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A stochastic two-scale model for pressure-driven flow between rough surfaces.


ABSTRACT: Seal surface topography typically consists of global-scale geometric features as well as local-scale roughness details and homogenization-based approaches are, therefore, readily applied. These provide for resolving the global scale (large domain) with a relatively coarse mesh, while resolving the local scale (small domain) in high detail. As the total flow decreases, however, the flow pattern becomes tortuous and this requires a larger local-scale domain to obtain a converged solution. Therefore, a classical homogenization-based approach might not be feasible for simulation of very small flows. In order to study small flows, a model allowing feasibly-sized local domains, for really small flow rates, is developed. Realization was made possible by coupling the two scales with a stochastic element. Results from numerical experiments, show that the present model is in better agreement with the direct deterministic one than the conventional homogenization type of model, both quantitatively in terms of flow rate and qualitatively in reflecting the flow pattern.

SUBMITTER: Perez-Rafols F 

PROVIDER: S-EPMC4950200 | biostudies-literature | 2016 Jun

REPOSITORIES: biostudies-literature

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A stochastic two-scale model for pressure-driven flow between rough surfaces.

Pérez-Ràfols Francesc F   Larsson Roland R   Lundström Staffan S   Wall Peter P   Almqvist Andreas A  

Proceedings. Mathematical, physical, and engineering sciences 20160601 2190


Seal surface topography typically consists of global-scale geometric features as well as local-scale roughness details and homogenization-based approaches are, therefore, readily applied. These provide for resolving the global scale (large domain) with a relatively coarse mesh, while resolving the local scale (small domain) in high detail. As the total flow decreases, however, the flow pattern becomes tortuous and this requires a larger local-scale domain to obtain a converged solution. Therefor  ...[more]

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