Numerical simulation of turbulent boundary layers of surfaces covered with foul release and antifouling coatings

Kianejad, SS; Ansarifard, Naznin

doi:10.3329/jname.v13i1.26017

Cited by 2 publications

(1 citation statement)

References 18 publications

(14 reference statements)

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“…Although DNS is considered as the exact approach to turbulence simulation, this simulation is very expensive for high Reynolds number case and requires large number of computational grids. On the other hand, the most used approximation to the solution of turbulent flow is RANS (Ferziger and Perić, 2002;Jagadeesh and Murali, 2005;Kianejad and Ansarifard, 2016), but this approach suffers from one principal shortcoming that the model used here must represent a very wide range of scales.…”

Section: Introductionmentioning

confidence: 99%

Large eddy simulation of turbulent channel flow using differential equation wall model

Mallik

Uddin

2018

J. nav. arch. mar. engg.

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A large eddy simulation (LES) of a plane turbulent channel flow is performed at a Reynolds number Re? = 590 based on the channel half width, ? and wall shear velocity, u? by approximating the near wall region using differential equation wall model (DEWM). The simulation is performed in a computational domain of 2?? x 2? x ??. The computational domain is discretized by staggered grid system with 32 x 30 x 32 grid points. In this domain the governing equations of LES are discretized spatially by second order finite difference formulation, and for temporal discretization the third order low-storage Runge-Kutta method is used. Essential turbulence statistics of the computed flow field based on this LES approach are calculated and compared with the available Direct Numerical Simulation (DNS) and LES data where no wall model was used. Comparing the results throughout the calculation domain we have found that the LES results based on DEWM show closer agreement with the DNS data, especially at the near wall region. That is, the LES approach based on DEWM can capture the effects of near wall structures more accurately. Flow structures in the computed flow field in the 3D turbulent channel have also been discussed and compared with LES data using no wall model.

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Section: Introductionmentioning

confidence: 99%

Large eddy simulation of turbulent channel flow using differential equation wall model

Mallik

Uddin

2018

J. nav. arch. mar. engg.

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Advancements and Modifications to Polydimethylsiloxane Foul Release Antifouling Coatings

Murthy,

Venugopalan,

Mohan

et al. 2022

A Treatise on Corrosion Science, Engineering and Technology

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Numerical simulation of turbulent boundary layers of surfaces covered with foul release and antifouling coatings

Abstract: Abstract:In order to compare the frictional resistance of three kinds of ship's hull coatings (foul release, SPC copper, SPC TBT)

Cited by 2 publications

References 18 publications

Large eddy simulation of turbulent channel flow using differential equation wall model

Large eddy simulation of turbulent channel flow using differential equation wall model

Advancements and Modifications to Polydimethylsiloxane Foul Release Antifouling Coatings

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