Prediction of wake in a curved duct

Narasimhan, J. L.; Ramjee, V.; Diwakar, Philip; Tulapurkara, E. G.

doi:10.1002/fld.1650130708

Cited by 4 publications

(2 citation statements)

References 15 publications

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“…The RSM, however, predicts the wake edge on the outer side closer to the experimental values. The simulations carried out by Narasimhan et al [13] and Tulapurkara et al [15] using the k-model produced generally better comparisons with their own experimental data for the wake of the airfoil, than achieved in the present study. The reason may be attributed to the placement of the boundary conditions at the trailing edge of the airfoil and by setting other conditions as was pointed out earlier.…”

Section: Streamwise Velocity and Wake Parametersmentioning

confidence: 43%

“…Narasimhan et al [13] predicted the wake of a NACA 0012 airfoil placed in a curved duct using the k-turbulence model and compared the results with the experimental data of Ramjee and Neelakandan [7]. They also made comparisons between the results for the cases where C (a parameter in the k-model-see Section 3) had a constant value of 0.09 (the commonly adopted standard value) and when it was a function of the local curvature according to a relationship given by Leschziner and Rodi [14].…”

Section: Introductionmentioning

confidence: 99%

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Numerical prediction of a turbulent curved wake and comparison with experimental data

Mokhtarzadeh‐Dehghan

Piradeepan

2005

Numerical Methods in Fluids

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SUMMARYNumerical studies of the curved wake of a NACA 0012 airfoil of chord length 0:150 m are presented. The airfoil is placed in air at 10 m=s in the straight section of a duct of 0:457 m × 0:457 m cross-section followed by a 90• bend with a mean radius-to-height ratio of 1.17. The trailing edge is located at one chord length upstream of the bend entry plane. The authors' own measurements are used to deÿne the boundary conditions and for comparison with the predicted results.The numerical models are based on the time-averaged, three-dimensional conservation equations of uid ow, incorporating the k-, RNG k-, realizable k-and the Reynolds stress turbulence models. The results show that the models are capable of predicting the e ects of curvature on the wake development. However, quantitative di erences between prediction and experiment exist. The results obtained using the Reynolds stress model show better agreement with the experimental data, compared with the k-based models, but not consistently for all parameters. There are also better predictions by the RNG k-and realizable k-models compared with the standard k-model. The predicted results using the RNG k-are closer to experimental data than the realizable k-.

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Section: Streamwise Velocity and Wake Parametersmentioning

confidence: 43%

Section: Introductionmentioning

confidence: 99%

Numerical prediction of a turbulent curved wake and comparison with experimental data

Mokhtarzadeh‐Dehghan

Piradeepan

2005

Numerical Methods in Fluids

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Prediction of Aerofoil Wake Subjected to the Effects of Curvature and Pressure Gradient

Tulapurkara

Ramjee

George

1996

Int. J. Numer. Meth. Fluids

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Experimental data on the development of wakes in a straight duct, a curved duct, a curved diffuser and a straight diffuser are compared with computations based on a finite volume scheme incorporating the k– ε model of turbulence. The results show that the computations based on the standard k–ε model are able to satisfactorily capture only the mean velocity profiles. To improve the predictions, several modifications to the model are tried out. Close agreement between experiment and computation as regards the velocity profiles, wake parameters and profiles of the turbulent kinetic energy k and Reynolds shear stress ⌅{uv} is obtained when modification to the model constant Cμ, based on the curvature parameter and the ratio of the production of turbulent kinetic energy to its rate of dissipation, is incorporated. The modified model is also able to capture the asymmetry in the profiles of k and ⌅{uv} caused by the curvature and its enhancement due to the additional presence of an adverse pressure gradient.

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Development of a bluff body wake under the combined influence of curvature and pressure gradient

Tulapurkara

Ramjee²,

George

1995

Experiments in Fluids

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Prediction of wake in a curved duct

Cited by 4 publications

References 15 publications

Numerical prediction of a turbulent curved wake and comparison with experimental data

Numerical prediction of a turbulent curved wake and comparison with experimental data

Prediction of Aerofoil Wake Subjected to the Effects of Curvature and Pressure Gradient

Development of a bluff body wake under the combined influence of curvature and pressure gradient

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