TURBINE VANE CASCADE HEAT TRANSFER PREDICTIONS USING A MODIFIED VERSION OF THE γ × Reοt % LAMINAR-TURBULENT TRANSITION MODEL

Smirnovsky, A. A.; Смирнов, Е. М.

doi:10.1615/ichmt.2009.heattransfgasturbsyst.370

Cited by 5 publications

(7 citation statements)

References 5 publications

(5 reference statements)

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“…With this approach and for the specific problem of the boundary layer transition, transition criteria [1,30,40,58] can be added. Note that this modeling formalism has been applied to turbine flows with moderate success [39,36]: the transition criteria are effective to match the experiments (if the solution is known) but they usually suffer from a lack of universality.…”

Section: Turbulence Modeling For Rans and Lesmentioning

confidence: 99%

“…From a purely numerical point of view, a large range of numerical methods is nowadays available in the literature, all of which are more or less suited to near wall flows [25,37,52,53,61,63]. RANS simulations require all the turbulent scales of the flow to be modeled putting stringent modeling effort on the turbulent closures near walls [1,30,40,58]. RANS simulations however inherit from years of research and developments.…”

Section: Introductionmentioning

confidence: 99%

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Effects of free-stream turbulence on high pressure turbine blade heat transfer predicted by structured and unstructured LES

Morata¹,

Gourdain

Duchaine

et al. 2012

International Journal of Heat and Mass Transfer

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a b s t r a c tRecent developments and demonstrations for the prediction of turbulent flows around blades point to Large Eddy Simulations (LES) as a very promising tool. Indeed and despite the fact that this numerical method still requires modeling and intense computing effort compared to Reynolds Average NavierStokes (RANS), this fully unsteady simulation technique provides valuable information on the turbulent flow otherwise inaccessible. Theoretical limits and scales of wall bounded flows are now well mastered in simple cases but complex industrial applications usually introduce unknowns and mechanisms that are difficult to apprehend beforehand especially with LES which is usually computationally intensive and bounded to code scalability, mesh quality, modeling performances and computer power. In this specific context, few studies directly address the use of fully structured versus unstructured, implicit versus explicit flow solvers and their respective impact for LES modeling of complex wall bounded flows. To partly address these important issues, two dedicated structured and unstructured computational solvers are applied and assessed by comparing the predictions of the heat transfer around the experimental high pressure turbine blade profile cascade of Arts et al. [6]. First, both LES predictions are compared to RANS modeling with a particular interest for the accuracy/cost ratio and improvement of the physical phenomena around the blade. LES's are then detailed and further investigated to assess their ability to reproduce the inlet turbulence effect on heat transfer and the development of the transitioning boundary layer around the blade. Quantitative comparisons against experimental findings show excellent agreement especially on the pressure side of the profile. Detailed analysis of the flow predictions provided by both the structured and unstructured solvers underline the importance of long stream-wise streaky structures responsible for the augmentation of the heat transfer and leading to the transition of the suction-side boundary layer.

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Section: Turbulence Modeling For Rans and Lesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Effects of free-stream turbulence on high pressure turbine blade heat transfer predicted by structured and unstructured LES

Morata¹,

Gourdain

Duchaine

et al. 2012

International Journal of Heat and Mass Transfer

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“…Simulating directly turbine flows by means of the fully compressible three-dimensional Navier-Stokes equations is still unpractical mainly because of the flow Reynolds number which implies that all the flow scales be represented by Direct Numerical Simulation (DNS). Such a DNS requirement clearly yields unfeasable computations (the size of the mesh should be around Re 4 ). Turbulence modelling is thus necessary to represent the cascade of energy and different formalisms exist over a wide range of applications, including flows at high Reynolds numbers [2,15].…”

Section: Tools and Methods Governing Equationsmentioning

confidence: 99%

“…A large range of numerical methods is available in the literature to simulate these near wall flows [2], from steady-state simulations where all the turbulent scales of the flow are modelled to full unsteady flow methods (all turbulent scales are solved). To complete the flow description when turbulence is modelled, criteria can be used to predict boundary layer transition [3][4][5][6]). However there are already clear evidences in the literature that numerical methods that solve a part of the turbulent spectrum provide the most promising results regarding the prediction of heat transfer [7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Advanced Numerical Simulation Dedicated to the Prediction of Heat Transfer in a Highly Loaded Turbine Guide Vane

Gourdain

Duchaine

Gicquel

et al. 2010

Volume 7: Turbomachinery, Parts A, B, and C

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This paper proposes to investigate the capacity of numerical simulation to estimate wall heat fluxes in a highly loaded turbine guide vane (with both structured and unstructured flow solvers). Different numerical approaches are assessed, from steady-state methods based on the Reynolds Averaged Navier-Stokes (RANS) equations to more sophisticated methods such as the Large Eddy Simulation (LES) technique. As expected steady flow simulations fail to predict the wall heat transfer, mainly because unsteady flows and laminar-to turbulent transition are not taken into account. The results underline the role of the vortex shedding, mainly through the emission of acoustic waves that interact with the suction side boundary layer. Only the LES (partially) succeeds to estimate wall heat fluxes since this method considerably improves the level of physical description (including boundary layer transition). However, the LES still requires validation and developments for such complex flows. This study also points out the dependency of results to the freestream turbulence intensity, which is a difficult parameter to manage with LES. Structured and unstructured flow solvers predict a different behaviour of the boundary layer (natural or by-passed transition), depending on the external turbulence intensity.

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“…В последнее время созданы альтернативные зависимости [71][72][73][74]. В работе [71] представлен общий подход к определению этих зависимостей с использованием имеющихся данных об обтекании плоских пластин при нулевом градиенте давления и валидационных тестов в случае ненулевых градиентов давления.…”

Section: развитие и перспективы использования инженерных моделейunclassified

Engineering Modeling of the Laminar–turbulent Transition: Achievements and Problems (Review)

2015

PMTF

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TURBINE VANE CASCADE HEAT TRANSFER PREDICTIONS USING A MODIFIED VERSION OF THE γ × Reοt % LAMINAR-TURBULENT TRANSITION MODEL

Cited by 5 publications

References 5 publications

Effects of free-stream turbulence on high pressure turbine blade heat transfer predicted by structured and unstructured LES

Effects of free-stream turbulence on high pressure turbine blade heat transfer predicted by structured and unstructured LES

Advanced Numerical Simulation Dedicated to the Prediction of Heat Transfer in a Highly Loaded Turbine Guide Vane

Engineering Modeling of the Laminar–turbulent Transition: Achievements and Problems (Review)

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