Comparison of linear and nonlinear RNG-based {kappa}-{epsilon} models for incompressible turbulent flows
- Univ. of Michigan, Ann Arbor, MI (United States). Dept. of Mechanical Engineering and Applied Mechanics
Linear and nonlinear renormalization group (RNG) {kappa}-{epsilon} models are compared for the prediction of incompressible turbulent flows. The multidimensional finite-volume code KIVA-3 is used to explore the alternative models versus the standard {kappa}-{epsilon} model. Test cases include the classic backward-facing step and the confined co-flow jet flows. The results suggest that the linear RNG {kappa}-{epsilon} model can yield significant improvements over the standard {kappa}-{epsilon} model for recirculatory flows, because of its less dissipative nature. While the nonlinear RNG {kappa}-{epsilon} model can also improve predictions compared to the standard {kappa}-{epsilon} model, its greatly increased cost compared to the linear RNG model renders it less attractive. However, for the case of shear flows, such as for confined co-flow jets, the RNG-based {kappa}-{epsilon} models are in less favorable agreement with experiments compared to the standard {kappa}-{epsilon} model. Overall, it is concluded that combining the claimed universality of the RNG-based {kappa}-{epsilon} model constants with the anisotropies introduced by the nonlinear {kappa}-{epsilon} model cannot enhance predictions of both recirculating and shear incompressible flows.
- Sponsoring Organization:
- USDOE, Washington, DC (United States); National Aeronautics and Space Administration, Washington, DC (United States); Sandia National Labs., Albuquerque, NM (United States)
- OSTI ID:
- 328378
- Journal Information:
- Numerical Heat Transfer. Part B, Fundamentals, Journal Name: Numerical Heat Transfer. Part B, Fundamentals Journal Issue: 1 Vol. 35; ISSN 1040-7790; ISSN NHBFEE
- Country of Publication:
- United States
- Language:
- English
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