2017
DOI: 10.1016/j.cja.2016.09.015
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Parameter study on numerical simulation of corner separation in LMFA-NACA65 linear compressor cascade

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Cited by 17 publications
(12 citation statements)
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“…However, as shown in Figure 4 (c) ~ (d), for the separation area, the SAS-SST numerical simulation results deviate from the experimental results. Although there is a deviation from the experimental results, the SAS-SST is a compromise scheme: The more accurate method, LES, is more expensive [13] ; The less costly URANS method cannot distinguish the vortex structures of corner separation well and deviate from the experimental results significantly [11] . [7] .…”
Section: Verification Of Numerical Simulationmentioning
confidence: 99%
“…However, as shown in Figure 4 (c) ~ (d), for the separation area, the SAS-SST numerical simulation results deviate from the experimental results. Although there is a deviation from the experimental results, the SAS-SST is a compromise scheme: The more accurate method, LES, is more expensive [13] ; The less costly URANS method cannot distinguish the vortex structures of corner separation well and deviate from the experimental results significantly [11] . [7] .…”
Section: Verification Of Numerical Simulationmentioning
confidence: 99%
“…The corner separation case has been numerically studied by Gao [19] (see also [11,20,27]). The LES simulation (in ref [19]) is used as a reference database for the present work.…”
Section: Test-case and Solvermentioning
confidence: 99%
“…A Reynolds stress budget can be extracted, following the method of Gao [20]. The turbulent kinetic energy budget (referred to as TKE budget) is then deduced from the Reynolds stress budget diagonal terms addition (k = 1 2 u i u i ).…”
Section: Large-eddy Simulationmentioning
confidence: 99%
“…Reynolds-averaged Navier-Stokes (RANS) simulations are commonly used by industries. In the case of corner separation, RANS simulations tend to over-predict its size and intensity [7,8,9]. Bordji et al [10] found that using a nonBoussinesq constitutive relation (the quadratic constitutive relation, referred to as QCR [11]) yields better results for external flows.…”
Section: Introductionmentioning
confidence: 99%