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On development lengths of Asymptotic Suction Boundary Layers
KTH, School of Engineering Sciences (SCI).
2018 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesisAlternative title
På utvecklingslängder av Asymptotisk sugning Gränslag (Swedish)
Abstract [en]

The application of suction in order to control the boundary-layer behaviour can be a major advancement in aerospace technology. In this thesis the asymptotic state of the suction boundary-layer is studied in depth, as well as the different developments that such boundary layers can have in space and in time. The final goal of the thesis is to estimate a numerical parameter that relates space and time which would help to calculate the required streamwise length that a wind tunnel should have to reach the asymptotic state of the suction boundary layer. The study is done by means of computational simulations of flows (CFD) and more concretely Direct Numerical Sim- ulations (DNS). The simulations are done with the KTH Software SIMSON which was developed with the purpose of study boundary-layer flows. All the data generated by the simulations was postprocessed using MATLAB.

Abstract [sv]

Tillämpningen av sug för att styra gränsskiktets beteende kan vara en stor framsteg inom flygteknik. I denna avhandling studeras det asymptotiska tillståndet av suggränsskiktet i djupet, liksom den olika utveckling som sådana gränsvärden kan ha i rymden och i tiden. Avhandlingens slutmål är att uppskatta en numerisk parameter som avser utrymme och tid som skulle bidra till att beräkna den önskade strömlängden att en vindtunnel skulle behöva nå det asymptotiska tillståndet hos suggränskiktet. Studien görs med hjälp av beräkningssimuleringar av flöden, CFD och mer konkreta direkta numeriska simuleringar (DNS). Simuleringarna görs med KTH Software SIM- SON som utvecklades med syftet att studera gränsskiktflöden. Alla data som gener- erades av simuleringarna efterbehandlades med MATLAB.

Place, publisher, year, edition, pages
2018. , p. 66
Series
TRITA-SCI-GRU ; 2018-169
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-231967OAI: oai:DiVA.org:kth-231967DiVA, id: diva2:1231283
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Examiners
Available from: 2018-07-06 Created: 2018-07-06 Last updated: 2018-07-06Bibliographically approved

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  • apa
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