2004
DOI: 10.1017/s0001924000005017
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Linear and Non-Linear Turbulence Model Predictions of Vortical Flows in Lobed Mixers

Abstract: Lobed mixers are widely used in gas turbine engines to increase mixing between hot and cold streams and consequently reduce jet noise. CFD predictions are presented for a simplified experimental configuration of a planar, three lobe geometry. Results are shown for a standard linear κ-ε turbulence model, the same model with a time scale limitation invoked and a non-linear quadratic model also employing a time scale limitation. Comparisons are presented between the three models for axial velocity, velocity vecto… Show more

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Cited by 5 publications
(3 citation statements)
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“…Although eddy-viscosity models perform well in flows dominated by a single Reynolds stress component, their performance deteriorates in complex 3D flows [48]. This behavior results from the linear relationship between the Reynolds stresses and the mean-velocity gradients as derived from the Boussinesq hypothesis.…”
Section: 𝑅𝑆𝑀 − 𝜔 Modelmentioning
confidence: 99%
“…Although eddy-viscosity models perform well in flows dominated by a single Reynolds stress component, their performance deteriorates in complex 3D flows [48]. This behavior results from the linear relationship between the Reynolds stresses and the mean-velocity gradients as derived from the Boussinesq hypothesis.…”
Section: 𝑅𝑆𝑀 − 𝜔 Modelmentioning
confidence: 99%
“…The code has been developed at Loughborough University and has been used for both RANS and LES calculations. 20,21 The code uses a second order upwind scheme for spatial discretisation and a implicit backward Euler for temporal discretisation. Parallelisation is achieved by mapping the grid blocks to individual processors and updating the interface halo regions using message passing.…”
Section: A Solvermentioning
confidence: 99%
“…The code has been developed at Loughborough University and has been used for both RANS and LES calculations. 18,19 The code uses a high order upwind scheme (equivalent to QUICK) for spatial discretisation and a implicit backward Euler for temporal discretisation. Parallelisation is achieved by mapping the grid blocks to individual processors and updating the interface halo regions using message passing.…”
Section: A Solvermentioning
confidence: 99%