Numerical Simulation of the Vortical Structures in a Lobed Jet Mixing Flow

2005 ◽  
Author(s):  
Nathan Cooper ◽  
Parviz Merati ◽  
Hui Hu
Keyword(s):  
Numerical Simulation ◽  
Vortical Structures ◽  
Jet Mixing ◽  
Lobed Jet

Numerical Simulation of Gasoline Blending with Two Different Mixing Systems

2011 ◽  
Vol 317-319 ◽  
pp. 2107-2112
Author(s):  
Song Ying Chen ◽  
Fu Chao Xie ◽  
Jun Jie Mao
Keyword(s):  
Numerical Simulation ◽  
Reynolds Equation ◽  
Mixing Time ◽  
Three Dimensional ◽  
Momentum Equation ◽  
Moving Mesh ◽  
Mixing Models ◽  
Turbulent Model ◽  
Jet Mixing ◽  
Mixing Effects

Based on two different mixing systems: Rotary Jet Mixing (RJM) system and side-entering agitator, two kinds of three-dimensional gasoline components mixing models are established. The incompressible Reynolds equation is selected as the momentum equation and the algorithm of SIMPLE is used to simulate the jet facility. To get the mixing time, moving mesh and the standard k-ε turbulent model has been employed in the multiphase unsteady flow. The results show that the dead areas of RJM are less than side-entering agitator, and the mixing effects are much better. Furthermore, the mixing time of RJM is only 58.2s, which is 69.7% of Side-entering Agitator.

scholarly journals Research on a Lobed Jet Mixing Flow by Using Stereoscopic PIV Technique

2000 ◽  
Vol 20 (1Supplement) ◽  
pp. 245-248
Author(s):  
Hui HU ◽  
Tetsuo SAGA ◽  
Toshio KOBAYASHI ◽  
Nobuyuki TANIGUCHI
Keyword(s):  
Stereoscopic Piv ◽  
Jet Mixing ◽  
Piv Technique ◽  
Lobed Jet

scholarly journals Direct Numerical Simulation of Jet Mixing Control Using Combined Jets

2006 ◽  
Vol 49 (4) ◽  
pp. 966-973 ◽  
Author(s):  
Koichi TSUJIMOTO ◽  
Toshihiko SHAKOUCHI ◽  
Shuji SASAZAKI ◽  
Toshitake ANDO
Keyword(s):  
Numerical Simulation ◽  
Direct Numerical Simulation ◽  
Jet Mixing ◽  
Mixing Control ◽  
Combined Jets

Development of Requirements for Numerical Modeling of the Premixer Aerodynamic

2016 ◽  
Author(s):  
Vladislav A. Nazukin ◽  
Valery G. Avgustinovich
Keyword(s):  
Numerical Simulation ◽  
Computational Model ◽  
Swirling Flow ◽  
Accurate Determination ◽  
Model Parameters ◽  
Second Phase ◽  
Flow Measurements ◽  
Vortical Structures ◽  
Flow Parameters ◽  
Computational Fluid Dynamics Analysis

The premixer is the most important part of DLN/DLE gas turbine combustion chambers because it is responsible for velocity and fuel concentration fields at the flametube inlet. Most currently used premixers were developed using long expensive experimental research efforts. At present, progress in high performance computing allows application of a new approach to the development process utilizing extensive numerical simulation up to the first tests of combustion chamber. However, it is necessary to be sure that the most important processes which take place inside premixers and downstream such as interaction of vane wakes with the main flow, fuel/air mixing, vortex breakdown and vortical structures generation are correctly predicted. In other words, verified methodology of the aerodynamic design of the premixers is required. The present work continues the previously performed analysis of non-reacting swirling flow inside premixers and it is directed towards more accurate determination the effect of different computational model parameters on the results of numerical simulation. In the first phase of this work, results of uncompressible swirling flow measurements were used. The effect of premixer geometry (full or simplified), grid resolution, turbulence model (k-e RNG, SST, SSG RSM, DES, SAS), number of timesteps and initial conditions on time-averaged flow parameters as well as flow structures such as precessing core were assessed. Some interesting features were found as the result of this work. For example, simplification of premixer geometry slightly effects on the results of RANS computations and entirely changes precessing core structure obtained in URANS modeling. In the second phase of this work compressible swirling flow measurements were used to compare the ability of DES and SST turbulence models to predict velocity and velocity fluctuation fields as well as vortical structures in a swirling flow. As the result of this work the main requirements for the computational fluid dynamics analysis of premixer aerodynamic were developed and validated. They specify parameters of computational model depending on the target flow parameters.

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