Comparison and modification of turbulence models for active flow separation control

What is it about?

The present work studied various models for predicting turbulence in the problem of injecting a fluid microjet into the boundary layer of a turbulent flow. For this purpose, the one-equation Spalart–Allmaras (SA), two-equation K-epsilon and k–omega, multi-equation transition k-kl–Omega, transition shear stress transport (SST), and Reynolds stress models were used for solving the steady microjet into the turbulent boundary layer, and their results are compared with experimental results. Comparing the results indicated that the steady solution methods performed sufficiently we for this problem. Furthermore, it was found that the four-equation transition SST model was the most accurate method for predicting turbulence in this problem. This model predicted the velocity along the x-axis in near- and far-jet locations with about 1% and 5% average errors, respectively. It also outperformed the other methods in predicting Reynolds stresses, especially at the center (nearly 5% error). Moreover, the modified four-equation transition SST model has improved the system’s performance in predicting the studied parameters by utilizing Sorensen correlations in predicting the transition momentum thickness Reynolds number, an empirical correlation that controls the length of the transition region and the critical Reynolds number where the intermittency first starts to increase in the boundary layer.

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Photo by Susan Wilkinson on Unsplash

Photo by Susan Wilkinson on Unsplash

Why is it important?

We analyzed various turbulence models for predicting the behavior of a fluid jet injected into a turbulent boundary layer over a flat surface. This analysis helps the other researcher to select the suitable turbulent models based in the research purposes and it optimum computation costs and proper accuracy of the result.

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