Large-Eddy Simulation of turbulent thermal flow mixing in a vertical T-Junction configuration

Evrim, Cenk; Laurien, Eckart

doi:10.1016/j.ijthermalsci.2019.106231

Cited by 19 publications

(3 citation statements)

References 31 publications

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“…However, in other studies [25] it was found that a lack of sufficient near-wall resolution results in a poor agreement with experimental data. Recently, it has been demonstrated in [26] that a wall-resolved mesh is necessary to properly capture the temperature and velocity profiles as well as spectral peaks within a power spectral density analysis. For non-adiabatic wall and Conjugate Heat Transfer (CHT) analysis, studies show that LES, utilising wall-functions, are not suitable for the correct prediction of temperature fluctuations close to the wall [27][28] while the wall-resolved LES simulations show good results but are more computationally demanding to perform as many more mesh elements are required in the near-wall region [29][30].…”

mentioning

confidence: 99%

The effect of inlet flow conditions upon thermal mixing and conjugate heat transfer within the wall of a T-Junction

Lampunio

Duan

Eaton

2021

Nuclear Engineering and Design

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confidence: 99%

The effect of inlet flow conditions upon thermal mixing and conjugate heat transfer within the wall of a T-Junction

Lampunio

Duan

Eaton

2021

Nuclear Engineering and Design

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“…As a result of their analysis, they determined that there are significant temperature fluctuations near the mixing zone of the hot and cold fluid inside the T-pipe. They obtained similar results in their experiments to validate the simulations [6]. Yao et al used CFD-DEM-FEM and FSI methods to analyze pipe vibration when the solid-liquid two-phase flow is carried in oil pipes.…”

Section: Introductionmentioning

confidence: 76%

Investigation of the Effect of Hot Fluid on Deformation in T-Shaped Pipes by FSI Method Using Different Material

Kepekçi

ASLAN

2023

Sakarya University Journal of Science

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In this study, the high-temperature liquid water flow through the cross-section of a T pipe and the effect of the temperature of the liquid on the pipe material has been investigated. Pipe deformation caused by fluid temperature has been analyzed by the Fluid-structure interaction method. The effect of temperature distribution inside the pipe has been considered as thermal load in the structural analysis of the pipe body. The finite volume method has been used in the study with numerical methods. While k-ε is preferred as the turbulence model, the mesh file created to be used in the analysis contains 200,000 grid cells. For all calculations, the Reynolds number has been set to 3900 and kept constant. The geometry of the T pipe, the fluid passing through the pipe and used the boundary have been constant for the numerical analysis made in the study. The pipe material has been determined as the only parameter that changed. As different pipe materials magnesium, aluminum, copper, steel, concrete, cast iron, and titanium have been used. As a result of the study, thermal strain, total deformation, and directional deformation values have been determined. As a result, it has been determined that the greatest deformation under thermal load is in magnesium pipes, and the smallest deformation is in titanium pipes. It has been observed that the total amount of deformation of the pipe made of magnesium is three times higher than that of the titanium pipe.

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“…For example, Ruettgers et al [26] adopted the LES to investigate the turbulent flow over the DrivAer fastback vehicle, Lian et al [27] performed the LES of turbulent flow over and through a rough permeable bed, and Chen et al [28] studied the turbulent flow past stationary and oscillating square cylinders using LES. Evrim et al [29] adopted the LES to simulate the turbulent thermal flow mixing in a vertical T-Junction configuration. Although above recent published literature have extended the LES to more wide application scopes, the turbulent flows in these studies are all Newtonian fluid.…”

Section: Introductionmentioning

confidence: 99%

LES Investigation of Drag-Reducing Mechanism of Turbulent Channel Flow with Surfactant Additives

Li¹,

Yu²,

Shao³

et al. 2020

Computer Modeling in Engineering &Amp; Sciences

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In this work, the drag-reducing mechanism of high-Reynoldsnumber turbulent channel flow with surfactant additives is investigated by using large eddy simulation (LES) method. An N-parallel finitely extensible nonlinear elastic model with Peterlin's approximation (FENE-P) is used to describe the rheological behaviors of non-Newtonian fluid with surfactant. To close the filtered LES equations, a hybrid subgrid scale (SGS) model coupling the spatial filter and temporal filter is applied to compute the subgrid stress and other subfilter terms. The finite difference method and projection algorithm are adopted to solve the LES governing equations. To validate the correctness of our LES method and in-house code, the particle image velocimetry (PIV) experiment is carried out and representative measured results are compared with LES results in detail. Then the flow characteristics and drag-reducing mechanism of turbulent channel flow with surfactant are investigated from the perspective of drag reduction rate, mean velocity, fluctuation of deformation rate, shear stress, transport and dissipation of turbulent kinetic energy, and turbulent coherent structures. This research can shed a light on the application of turbulent drag reduction technique in district heating, petroleum transport, etc.

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Large-Eddy Simulation of turbulent thermal flow mixing in a vertical T-Junction configuration

Cited by 19 publications

References 31 publications

The effect of inlet flow conditions upon thermal mixing and conjugate heat transfer within the wall of a T-Junction

The effect of inlet flow conditions upon thermal mixing and conjugate heat transfer within the wall of a T-Junction

Investigation of the Effect of Hot Fluid on Deformation in T-Shaped Pipes by FSI Method Using Different Material

LES Investigation of Drag-Reducing Mechanism of Turbulent Channel Flow with Surfactant Additives

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