Large-eddy simulation of thermal fatigue in a mixing tee

Ming, Tingzhen; Zhao, Jiyun

doi:10.1016/j.ijheatfluidflow.2012.06.002

Cited by 23 publications

(14 citation statements)

References 31 publications

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“…Therefore, in recent years, the numerical investigators have shifted their interest towards LES and detached eddy simulation (DES) techniques. Numerical studies using these two approaches have been reported, among others, by [15,20,39,2,17,21,28,11]. In those studies, LES was shown to be a promising technique for the prediction of turbulent mixing in addition to the temperature fluctuations, which are readily obtained as part of the solution.…”

Section: Introductionmentioning

confidence: 99%

Large eddy simulation of thermal turbulent mixing and reduction of temperature fluctuations with swirl in T-junction

Benyamina

Knyazkov²,

Imine

2017

J Braz. Soc. Mech. Sci. Eng.

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Turbulent mixing of two fluids having a temperature difference can lead to temperature fluctuations in the T-junctions, particularly in the primary cooling circuit of nuclear power plants. Temperature changes produce thermal stresses causing thermal fatigue. This is a key topic related to nuclear security. This article presents the numerical results of two thermal turbulent mixing simulations, applied to a T-junction (OECD-NEA-Vattenfall T-junction). These simulations apply, respectively, to the case of a flow with and without rotational movements into the cold side. The numerical predictions were made using the large eddy simulation with the commercial code Fluent. The numerical results obtained in the first case were compared with the available experimental data and were found in an agreement satisfactory to the profiles of average variables and the spectrum of the temperature near the wall. The comparison with RMS profiles was less satisfactory in the center of the main tube, but was of good quality in the near-wall region. In the second simulation, the main movement of the fluid is affected by the spiral paths created by the swirl velocity caused at the cold inlet, which improves the mixing of hot and cold fluids downstream of the T-junction. From the analysis of these results, it clearly appears that the temperature fluctuations decrease near the

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Section: Introductionmentioning

confidence: 99%

Large eddy simulation of thermal turbulent mixing and reduction of temperature fluctuations with swirl in T-junction

Benyamina

Knyazkov²,

Imine

2017

J Braz. Soc. Mech. Sci. Eng.

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“…This resulted in big stresses on the edge of the tee junction, and the biggest stress was identified in the main pipe after the T-junction. Ming and Zhao (2012) have used the FLUENT software to simulate the water flow in a T-junction. The boundary conditions were: water flow in the main horizontal duct (inlet) with a temperature of 293.15 K and velocity 0.27 m/s, while in the vertical duct (ramification) were 326.05 K and 1.26 m/s.…”

Section: Introductionmentioning

confidence: 99%

Study of a Flammable Fluid Passing Through a Mixing T-Junction by Using the Ansys Fluid Structure Interaction Capabilities

2016

SBNA

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The pipelines used to transport oil and others chemical products must be made with good materials that support high tensions and are resistant to corrosion. In engineering literature, there have been various researches about the behavior of the fluid through the tee junction. Some of these works relate to effects of the fluctuation of temperature in the pipe. The purpose of this article is to study the Fluid-Structure Interaction of a heated flammable fluid (a C10H22-Decane component of gasoline in gaseous phase) passing through a T-Junction where the cold fluid (20 0 C) is mixing with the warm fluid (90 0 C). The software used is ANSYS 16. The problem of mixing different temperatures of a certain fluid into a T-Junction and the study of the effects of fluid pressure and fluid temperatures on the stress distribution of the structure is by no means an easy problem to solve. The ANSYS capabilities of treating such Fluid Structure Interaction Problems with different interconnected modules is instead making this problem a trivial problem to solve. The T-Joint under scrutiny is performing well regarding structural safety as demonstrated inside this paper.

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“…On the computational side, a large number of studies have been performed mostly motivated by thermal fatigue (see a rather exhaustive list of references in Ming and Zhao (2012)). Although thermal fluctuations from the fluid cause mechanical stresses in the solid, not all the fluid fluctuations have an effect on it.…”

Section: Introductionmentioning

confidence: 99%

“…Hu and Kazimi (2006) and Kuczaj et al (2010) obtained a reasonable agreement when the mesh is fine enough, typically when Taylor micro-scales of the flow were resolved. Ming and Zhao (2012) and Kim and Jeong (2012) analysed the temperature fluctuations in tee junctions with diameter ratios of about unity and found large fluctuations with dominant frequencies of Strouhal numbers in the order of 0.5. Galpin and Simoneau (2011) investigated thermal fatigue phenomenon using both the Smagorinsky and the structurefunction models, the latter providing slightly better predictions.…”

Section: Introductionmentioning

confidence: 99%

Large-eddy simulation in a mixing tee junction: High-order turbulent statistics analysis

Howard

Serre

2015

International Journal of Heat and Fluid Flow

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Large-eddy simulation of thermal fatigue in a mixing tee

Cited by 23 publications

References 31 publications

Large eddy simulation of thermal turbulent mixing and reduction of temperature fluctuations with swirl in T-junction

Large eddy simulation of thermal turbulent mixing and reduction of temperature fluctuations with swirl in T-junction

Study of a Flammable Fluid Passing Through a Mixing T-Junction by Using the Ansys Fluid Structure Interaction Capabilities

Large-eddy simulation in a mixing tee junction: High-order turbulent statistics analysis

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