S
S. A. Gaponov
Researcher at Russian Academy of Sciences
Publications - 48
Citations - 256
S. A. Gaponov is an academic researcher from Russian Academy of Sciences. The author has contributed to research in topics: Boundary layer & Supersonic speed. The author has an hindex of 9, co-authored 41 publications receiving 223 citations.
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Interaction between a supersonic boundary layer and acoustic disturbances
TL;DR: In this paper, the development of disturbances in a boundary layer that have been induced by an external acoustic field is investigated in the linear formulation, and it is shown that the oscillations inside the supersonic boundary layer can have several times the intensity of the external disturbances.
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Combined influence of coating permeability and roughness on supersonic boundary layer stability and transition
V. I. Lysenko,S. A. Gaponov,B. V. Smorodsky,Yu. G. Yermolaev,Alexander D. Kosinov,N. V. Semionov +5 more
TL;DR: In this paper, a joint theoretical and experimental investigation of the influence of the surface permeability and roughness on the stability and laminar-turbulent transition of a supersonic flat-plate boundary layer at a free-stream Mach number of has been performed.
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Effect of gas compressibility on the stability of a boundary layer above a permeable surface at subsonic velocities
TL;DR: In this article, the stability of a boundary layer for the condition that the velocity perturbations at the permeable surface are nonzero was investigated for the case of subsonic velocities.
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Stability of a supersonic boundary layer on a permeable surface with heat transfer
TL;DR: In this paper, the effect of cooling of a permeable surface on the stability of a supersonic boundary layer on it is investigated and it is shown that deep cooling can reduce the critical Reynolds number.
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Linear stability of three-dimensional boundary layers
S. A. Gaponov,B. V. Smorodskii +1 more
TL;DR: In this paper, the stability of compressible boundary layers on a swept wing model is studied within the framework of the linear theory, based on the approximation of local self-similarity of the mean flow.