Direct Numerical Simulation of a Recirculating, Swirling Flow

Freitag, M.; Klein, Markus

doi:10.1007/s10494-005-8590-5

Cited by 30 publications

(22 citation statements)

References 16 publications

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“…Hence, it is not clear whether the high-order models are more valuable than the KEM. In the last few years, both large eddy simulation (LES) and direct numerical simulation (DNS) have been used by several authors to predict swirling flows [27][28][29]. They have confirmed that the computational results are qualitatively in good agreement with the experimental ones.…”

Section: Introductionmentioning

confidence: 72%

Numerical simulation of tangentially injected turbulent swirling flow in a divergent tube

Guo¹,

Chen²

2008

Numerical Methods in Fluids

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SUMMARYThis paper studies the properties of turbulent swirling decaying flow induced by tangential inlets in a divergent pipe using the realizable k-turbulence model and discusses the effects of the injector pressure and injection position. The results of transient solutions show that both the recirculation zone near the wall in upstream of the injectors and the vortex breakdown in downstream of the injectors increase in size during the whole period. A nearly axisymmetric conical breakdown is formed and its internal structure consists of two asymmetric spiral-like vortices rotating in opposite directions. The stagnation point shifts slowly toward the pipe outlet over time. The maxima of the three velocity components, which are located near the wall, decrease gradually with streamwise direction. It can also be inferred that Mach number approaches 1.0 near the injector outlets. The velocities increase with the increasing injector pressure. However, its increasing trend is not significant. With the increase of the injection position, vortex breakdown moves in downstream direction and the pitch along the streamwise direction increases.

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Section: Introductionmentioning

confidence: 72%

Numerical simulation of tangentially injected turbulent swirling flow in a divergent tube

Guo¹,

Chen²

2008

Numerical Methods in Fluids

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“…Although using high-order discretizations or spectral methods is more usual for solving this test case due to its simple geometry, in this research a secondorder scheme is considered as will be explained. Besides very successful DNS computations using second-order schemes (see [38,39]), most of the LES computations are performed based on the low-order discretization methods. Therefore, using this low-order DNS computation can also reveal the performance of this stochastic method in LES simulations without influencing the results by subgrid scale model effects.…”

Section: Reference Homogeneous Shear Flow Simulationmentioning

confidence: 99%

Generation of turbulent inflow and initial conditions based on multi‐correlated random fields

Fathali

Klein

Broeckhoven

et al. 2007

Numerical Methods in Fluids

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SUMMARYDirect or large eddy simulation of a turbulent flow field is strongly influenced by its initial or inflow boundary condition. This paper presents a new stochastic approach to generate an artificial turbulent velocity field for initial or inflow boundary condition based on digital filtering. Each velocity component of the artificial turbulent velocity field is generated by linear combination of individual uncorrelated random fields. These uncorrelated random fields are obtained by filtering random white-noise fields. Using common elements in these linear combinations results in multi-correlation among different velocity components. The generated velocity field reproduces locally desired Reynolds stress components and integral length scales including cross-integral length scales. The method appears to be simple, flexible and more accurate in comparison with previously developed methods. The accuracy and performance of the method are demonstrated by numerical simulation of a homogeneous turbulent shear flow with high and low shear rates. To assess the accuracy and performance of the method, simulation results are compared with a reference simulation.

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“…Moreover, more recently, direct numerical simulations were used by a few research groups for swirling flow study [14][15][16]. For example, Hu et al [14] investigated temporally 2 Advances in Mechanical Engineering evolving swirling jets with axisymmetric and nonaxisymmetric disturbance.…”

Section: Introductionmentioning

confidence: 99%

Direct Numerical Simulation and Visualization of Biswirling Jets

Yan

Gui

Xie

et al. 2014

Advances in Mechanical Engineering

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Two parallel swirling/rotating jets with a distance between them are termed biswirling jets here, which have important and complicated vortex structures different from the single swirling jet due to the negligible vortex-vortex interactions. The visualization of vortex-vortex interaction between the biswirling jets is accomplished by using direct numerical simulation. The evolution of vortex structures of the biswirling jets is found rather complicated. The turbulent kinetic energy and turbulence dissipation in the central convergence region are augmented locally and rather strongly. The modulation of turbulent kinetic energy by jet-jet interaction upon different scales of vortices is dominated by the swirling levels and the distance between the jets. The turbulent kinetic energy upon intermediate and small scale vortices in bijets with not very high swirling level and at a very close distance is smaller than that in single swirling jets, whereas the opposite is true under a far distance, and so forth.

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Direct Numerical Simulation of a Recirculating, Swirling Flow

Cited by 30 publications

References 16 publications

Numerical simulation of tangentially injected turbulent swirling flow in a divergent tube

Numerical simulation of tangentially injected turbulent swirling flow in a divergent tube

Generation of turbulent inflow and initial conditions based on multi‐correlated random fields

Direct Numerical Simulation and Visualization of Biswirling Jets

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