A Gamma-kL Transition Model for Transitional Flow with Pressure Gradient Effects

Authors

  • Ekachai Juntasaro King Mongkut’s University of Technology North Bangkok
  • Abdul Ahad Narejo King Mongkut’s University of Technology North Bangkok

DOI:

https://doi.org/10.4186/ej.2017.21.2.279

Keywords:

RANS, transition model, intermittency, laminar kinetic energy, pressure gradient.

Abstract

A new and complete version of the gamma-kL transition model has been continually developed and proposed in the present paper. This version of the gamma-kL transition model can predict the effects of pressure gradient on the mean flow. The gamma-kL transition model is validated with the ERCOFTAC T3- and T3C-series experimental data of Coupland [1]. The validation shows that the computed results of the gamma-kL transition model are in good agreement with the experimental data. The performance of the gamma-kL transition model is assessed in comparison with those of the kL transition model of Walters and Cokljat [2], the gamma-Re_theta transition model of Langtry and Menter [3], and the gamma transition model of Ge et al. [4] in case of the transitional flow through the compressor blade passage of Zaki et al. [5]. It is found that the proposed gamma-kL transition model is the only transition model that can consistently capture the separation bubble on the compressor blade.

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Author Biographies

Ekachai Juntasaro

Department of Mechanical and Process Engineering, the Sirindhorn International Thai-German Graduate School of Engineering (TGGS), King Mongkut’s University of Technology North Bangkok, Bangkok 10800, Thailand

Abdul Ahad Narejo

Department of Mechanical and Process Engineering, the Sirindhorn International Thai-German Graduate School of Engineering (TGGS), King Mongkut’s University of Technology North Bangkok, Bangkok 10800, Thailand

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Published In
Vol 21 No 2, Mar 31, 2017
How to Cite
[1]
E. Juntasaro and A. A. Narejo, “A Gamma-kL Transition Model for Transitional Flow with Pressure Gradient Effects”, Eng. J., vol. 21, no. 2, pp. 279-304, Mar. 2017.

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