2001
DOI: 10.1016/s0307-904x(00)00055-x
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Numerical study of turbulent diesel flow in a pipe with sudden expansion

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Cited by 27 publications
(17 citation statements)
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“…The RNG turbulence model is more responsive to the effects of rapid strain and streamlines curvature, flow separation, reattachment and recirculation than the standard k-ℇ model. The RNG k-ℇ model gives the best predictions of all the two-equation models as far as the velocity field, the turbulence kinetic energy and the recirculation length are concerned [16]. The RNG derived k-ℇ model gave very good predictions for a pipe with sudden expansion, especially when non-equilibrium wall-functions were implemented [17].…”
Section: Numerical Implementationmentioning
confidence: 95%
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“…The RNG turbulence model is more responsive to the effects of rapid strain and streamlines curvature, flow separation, reattachment and recirculation than the standard k-ℇ model. The RNG k-ℇ model gives the best predictions of all the two-equation models as far as the velocity field, the turbulence kinetic energy and the recirculation length are concerned [16]. The RNG derived k-ℇ model gave very good predictions for a pipe with sudden expansion, especially when non-equilibrium wall-functions were implemented [17].…”
Section: Numerical Implementationmentioning
confidence: 95%
“…The discretization scheme used for pressure is body force weighted to take the density variations in consideration. The solution is based on pressure correction method and uses SIMPLEC algorithm [16]. The first order upwind differencing scheme is used for momentum and energy equations.…”
Section: Numerical Implementationmentioning
confidence: 99%
“…The result is that the RNG derived closures perform well in some¯ows but worse than the standard models in other¯ows (Hanjalic, 1996). Characteristic examples of ows including combustion and heat-transfer where the RNG k±e model has demonstrated antithetic performance are the sudden expansion and sudden contraction geometries; in the sudden expansion case the model performed better than the standard k±e and the opposite happened in the sudden contraction geometry (Koronaki et al, 2000). The RNG k±e model is used here in order to account indirectly for the non-isotropic features of the turbulent ame, without considerably increasing the computational time and storage requirements in comparison with the higher order Reynolds stress model.…”
Section: Turbulence Model 231 Two-equation Modelsmentioning
confidence: 99%
“…In the nearwall region, the non-equilibrium wall function of Launder and Spalding (1972) was set. Both Koronaki et al (2001) and Siriboonluckul and Juntasaro (2007) report that, for separated flows, the k-ε RNG turbulence model with non-equilibrium wall functions works better in the near-wall regions with respect to the standard wall functions. In all cases, it was checked that the application of such condition was consistent with the non-dimensional distance of the first grid points from the walls.…”
Section: Computational Domain and Boundary Conditionsmentioning
confidence: 99%