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Development of a 1D to 3D CFD couplingmethodology on an inlet manifold
KTH, School of Engineering Sciences (SCI), Mechanics.
2018 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

We investigate the coupling between 3D simulations of the flow in an engine manifold with simplified 1D models of the engine performance.

The inlet manifold in an existing 1D engine model is replaced with a more sophisticated CFD manifold simulation. The rest of the 1D system is left untouched. The CFD model can better capture mixing effects and the geometry of the manifold. The lorry developer Scania provides the 1D engine model together with the corresponding manifold geometry. Inexperienced readers are introduced to related work and underlying theory in the area. The CFD manifold simulation is developed and validated in terms of sensitivity to the grid, choice of turbulence model and surface roughness. Comparisons with the original system are made for a selection of relevant engine predictions along with manifold flow quantities. Minor effects in the predictions are observed at a hefty price in computational time and in implementation effort.

Abstract [sv]

I arbetet undersöks kopplingen av en CFD modell för ett inloppsrör till en existerande 1D modell för motorsimuleringar. Inloppsröret byts ut från 1D modellen och ersätts utav en mer sofistikerad 3D modell ifrån en annan mjukvara. Lastbilstillverkaren Scania tillhandager sin modell för 1D beräkningar tillsammans med 3D geometrin för motsvarande inloppsrör. Oerfarna läsare introduceras till några arbeten inom liknande områden och får en introduktion till bakomliggande teorier. En CFD domän utvecklas och evalueras utifrån hur känslig den är för upplösning i beräkningsnätet, val av turbulensmodell och inloppsrörets ytsträvhet. Jämförelser gör utifrån relevanta kvantiteter i motorsimuleringar och utifrån  flödeskvantiteter i inloppsröret. Resultaten visar i slutändan små differenser efter utbytet och kräver samtidigt väsentligt mer datorkraft och mer arbete för implementationen.

Place, publisher, year, edition, pages
2018. , p. 40
Series
TRITA-SCI-GRU 2018:442
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-250013OAI: oai:DiVA.org:kth-250013DiVA, id: diva2:1306947
Supervisors
Examiners
Available from: 2019-04-25 Created: 2019-04-25 Last updated: 2019-04-25Bibliographically approved

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