Recent progress in the computation of flow and heat transfer in internal cooling passages of turbine blades

Iacovides, Hector; Raisee, Mehrdad

doi:10.1016/s0142-727x(99)00018-1

Cited by 130 publications

(90 citation statements)

References 18 publications

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“…The internal air systems discussed by Chew & Hills (2007) feed passages inside turbine blades that provide blade cooling. The computation of these flows, which again present severe turbulence and geometry modelling challenges, is discussed by Iacovides & Raise (1999).…”

Section: Aeroengine Internal Air Systemsmentioning

confidence: 99%

Introduction. Computational aerodynamics

Tucker

2007

Phil. Trans. R. Soc. A.

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The wide range of uses of computational fluid dynamics (CFD) for aircraft design is discussed along with its role in dealing with the environmental impact of flight. Enabling technologies, such as grid generation and turbulence models, are also considered along with flow/turbulence control. The large eddy simulation, Reynolds-averaged NavierStokes and hybrid turbulence modelling approaches are contrasted. The CFD prediction of numerous jet configurations occurring in aerospace are discussed along with aeroelasticity for aeroengine and external aerodynamics, design optimization, unsteady flow modelling and aeroengine internal and external flows. It is concluded that there is a lack of detailed measurements (for both canonical and complex geometry flows) to provide validation and even, in some cases, basic understanding of flow physics. Not surprisingly, turbulence modelling is still the weak link along with, as ever, a pressing need for improved (in terms of robustness, speed and accuracy) solver technology, grid generation and geometry handling. Hence, CFD, as a truly predictive and creative design tool, seems a long way off. Meanwhile, extreme practitioner expertise is still required and the triad of computation, measurement and analytic solution must be judiciously used.

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Section: Aeroengine Internal Air Systemsmentioning

confidence: 99%

Introduction. Computational aerodynamics

Tucker

2007

Phil. Trans. R. Soc. A.

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“…They were subsequently extended by Iacovides and Toumpanakis [11] to low-Re DSM closures and were first used for the computation of turbulent flows through rotating cavities (see Iacovides et al [12]), where they produced satisfactory predictions. Iacovides and Raisee (see [7,13]) have also applied these low-Re DSM closures more recently to the computation of flow and heat transfer through ribbed passages, where again their introduction improved the thermal predictions. More recently, we have …”

Section: Low-re Dsm Modelsmentioning

confidence: 99%

“…The transport of the turbulent stresses and also that of the dissipation rate ε, due to turbulent mixing, is modelled through the effective diffusivity concept. The term P i j denotes the generation rate of the turbulent stresses and is obtained through the exact expression given in (7). It is worth noting that the Coriolis force directly influences the generation rate of the Reynolds stresses.…”

Section: Low-re Dsm Modelsmentioning

confidence: 99%

“…Iacovides and Raisee [7] developed a differential form, by (a) introducing the magnitude of the resultant of the length scale ( = k 3/2 /ε), gradient vector D ; and (b) by also taking into account the effects of wall damping on the length scale as expressed by Wolfshtein [8]. This leads to the following correction term NYap:…”

Section: Length-scale Correction Termsmentioning

confidence: 99%

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The computation of flow and heat transfer through an orthogonally rotating square‐ended U‐bend, using low‐Reynolds‐number models

Nikas

Iacovides²

2006

International Journal of Numerical Methods for Heat &Amp; Fluid Flow

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We present computations of heat and fluid flow through a square-ended U-bend that rotates about an axis normal to both the main flow direction and also the axis of curvature. Two-layer and low-Reynolds-number mathematical models of turbulence are used at effective-viscosity (EVM) level and also at second-moment-closure (DSM) level. Moreover, two length-scale correction terms to the dissipation rate of turbulence are used with the low-Re models, the original Yap term, and a differential form that does not require the wall distance (NYap). The resulting predictions are compared with available flow and heat transfer measurements of water. While the main flow features are well reproduced by all models, the development of the mean flow within and just after the bend is better reproduced by the low-Re models. Turbulence levels within the rotating U-bend are underpredicted, but DSM models produce a more realistic distribution. Along the leading side, all models overpredict heat transfer levels just after the bend. Along the trailing side, the heat transfer predictions of the low-Re DSM with the NYap, are close to the measurements.

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“…Murata and Mochizuki (2004) studied how the secondary flow field, modified by rotation, influences the convective heat transfer. Iacovides et al (1996) and Iacovides and Raisee (1999) studied the mean and turbulent flow in rotating U-ducts of strong curvature, with the axis of rotation parallel to that of curvature. Kim et al (2007) performed a numerical simulation by using the commercial software FLUENT 6.1 to get detailed information about the main and secondary flow fields.…”

Section: Introductionmentioning

confidence: 99%

Thermo-fluid-dynamic analysis of the flow in a rotating channel with a sharp “U” turn

2012

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Infrared thermography has been employed to carry out a detailed convective heat transfer measurements at Re = 20,000 in a two-pass square channel both for the static case (absence of channel rotation) and for the rotating case (Ro = 0.3). At the same time, the main and secondary flow fields have been measured by means of particle image velocimetry with the aim to investigate how the flow behavior affects the local distributions of the convective heat transfer coefficient for the two cases. The normal-towall velocity component (w) and the turbulent kinetic energy, both measured close to the heat exchanging wall, have been used to formulate an empirical heat transfer correlation within an attempt to identify the role performed by these two quantities on the convective heat transfer coefficient distributions. The latter ones have been reported in terms of normalized Nusselt number (Nu/Nu*) maps, where Nu* is the Nusselt number evaluated with the classical Dittus-Bölter correlation.

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Recent progress in the computation of flow and heat transfer in internal cooling passages of turbine blades

Cited by 130 publications

References 18 publications

Introduction. Computational aerodynamics

Introduction. Computational aerodynamics

The computation of flow and heat transfer through an orthogonally rotating square‐ended U‐bend, using low‐Reynolds‐number models

Thermo-fluid-dynamic analysis of the flow in a rotating channel with a sharp “U” turn

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