The Scale-Adaptive Simulation Method for Unsteady Turbulent Flow Predictions. Part 2: Application to Complex Flows

Egorov, Yu. V.; Menter, F. R.; Lechner, Richard; Čokljat, Davor

doi:10.1007/s10494-010-9265-4

Cited by 238 publications

(129 citation statements)

References 14 publications

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“…However, the case at 90 degrees showed amplification of the flow fluctuations [7,8,9]. Studies of the effect of door configurations than other 90 degrees are also discussed in [10,12] (See also table 1 In this paper, the cavity flow is computed with the Scale Adaptive Simulation (SAS) method [13,14] that has been successfully used for cavity flows with and without doors with the HMB flow solver [15]. The paper is …”

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confidence: 99%

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Cavity Flow over a Transonic Weapons Bay During Door Operation

Loupy

Barakos

Taylor

2018

Journal of Aircraft

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confidence: 99%

“…Computations are performed with the HMB3 solver using the k-ω SAS turbulence model [13,14]. The computational domain ( Figure 1) includes solids walls 1.5 cavity length ahead and aft the cavity, followed by symmetry conditions.…”

mentioning

confidence: 99%

Cavity Flow over a Transonic Weapons Bay During Door Operation

Loupy

Barakos

Taylor

2018

Journal of Aircraft

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“…The exchange of information between sub-domains is achieved through interpolation and by following the level hierarchy. The work presented in this paper uses Scale-Adaptive Simulation (SAS) [18,19], that has been successfully validated for cavity flows with and without doors using the HMB flow solver [20].…”

Section: Cfd Methodologymentioning

confidence: 99%

Processing and analysis methods for transonic cavity flow

Loupy

Barakos

2017

Physics of Fluids

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This paper focuses on the localisation of noise sources in transonic cavity flows. Beamforming is used to estimate the pressure fluctuations inside a resonant transonic cavity, showing the localisation of the main sources of noise using an acoustic array and also combining it with a mean flow-field. The influence of the microphone array position, density, and shape are investigated. The presented method models the noise propagation with simple assumptions that are easily applicable to wind tunnel testing, and may help localise the noise sources from complex geometries without intrusive methods.

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“…In this equation, higher velocity derivatives appear, with the von Kármán length scale being the leading order term for inhomogeneous flows [29]. L vK allows the turbulence model to recognize resolved scales in unstable flows and to adjust the eddy viscosity to a level which allows the formation of a turbulent spectrum [29,[31][32][33]. Here, the SST [34] version of the SAS model is used.…”

Section: Numerical Setupmentioning

confidence: 99%

A Combined Numerical and Experimental Study of the 3D Tumble Structure and Piston Boundary Layer Development During the Intake Stroke of a Gasoline Engine

Buhl

Gleiss

Köhler

et al. 2016

Flow Turbulence Combust

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Due to its positive effect on flame propagation in the case of a well-defined breakdown, the formation of a large-scale tumble motion is an important goal in engine development. Cycle-to-cycle variations (CCV) in the tumble position and strength however lead to a fluctuating tumble breakdown in space and time and therefore to combustion variations, indicated by CCV of the peak pressure. This work aims at a detailed investigation of the large-scale tumble motion and its interaction with the piston boundary layer during the intake stroke in a state-of-the-art gasoline engine. To allow the validation of the flow near the piston surface obtained by simulation, a new measurement technique called "Flying PIV" is applied. A detailed comparison between experimental and simulation results is carried out as well as an analysis of the obtained flow field. The large-scale tumble motion is investigated based on numerical data of multiple highly resolved intake strokes obtained using scale-resolving simulations. A method to detect the tumble center position within a 3D flow field, as an extension of previously developed 2D and 3D algorithms, is presented and applied. It is then used to investigate the phase-averaged tumble structure, its characteristics in terms of angular velocity and the CCV between the individual intake strokes. Finally, an analysis is presented of the piston boundary layer and how it is influenced by the tumble motion during the final phase of the intake stroke.

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The Scale-Adaptive Simulation Method for Unsteady Turbulent Flow Predictions. Part 2: Application to Complex Flows

Cited by 238 publications

References 14 publications

Cavity Flow over a Transonic Weapons Bay During Door Operation

Cavity Flow over a Transonic Weapons Bay During Door Operation

Processing and analysis methods for transonic cavity flow

A Combined Numerical and Experimental Study of the 3D Tumble Structure and Piston Boundary Layer Development During the Intake Stroke of a Gasoline Engine

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