Predicting high-speed feedback mechanisms in rectangular cavities using lattice-Boltzmann very-large eddy simulations

2021 ◽  
pp. 106908
Author(s):  
Simone Mancini ◽  
Alexander Kolb ◽  
Ignacio Gonzalez-Martino ◽  
Damiano Casalino
Keyword(s):  
Lattice Boltzmann ◽  
High Speed ◽  
Large Eddy Simulations ◽  
Feedback Mechanisms ◽  
Large Eddy

Lattice-Boltzmann Very Large Eddy Simulations of Fluidic Thrust Vectoring in a Converging/Diverging Nozzle

2020 ◽  
Author(s):  
Avinash Jammalamadaka ◽  
Gregory M. Laskowski ◽  
Yanbing Li ◽  
James Kopriva ◽  
Pradeep Gopalakrishnan ◽  
...  
Keyword(s):  
Lattice Boltzmann ◽  
Large Eddy Simulations ◽  
Thrust Vectoring ◽  
Large Eddy ◽  
Fluidic Thrust Vectoring

scholarly journals Lattice Boltzmann simulation of turbulent natural convection in tall enclosures

2015 ◽  
Vol 19 (1) ◽  
pp. 155-166 ◽  
Author(s):  
Hasan Sajjadi ◽  
Reza Kefayati
Keyword(s):  
Nusselt Number ◽  
Natural Convection ◽  
Lattice Boltzmann ◽  
Average Nusselt Number ◽  
Large Eddy Simulations ◽  
Turbulent Natural Convection ◽  
Aspect Ratios ◽  
Lattice Boltzmann Simulation ◽  
Large Eddy ◽  
Rayleigh Numbers

In this paper Lattice Boltzmann simulation of turbulent natural convection with large-eddy simulations (LES) in tall enclosures which is filled by air with Pr=0.71 has been studied. Calculations were performed for high Rayleigh numbers (Ra=107-109) and aspect ratios change between 0.5 to 2 (0.5<AR<2). The present results are validated by finds of an experimental research at Ra=1.58x109. Effects of the aspect ratios in different Rayleigh numbers are displayed on streamlines, isotherm counters, vertical velocity and temperature at the middle of the cavity, local Nusselt number and average Nusselt number. The average Nusselt number increases with the augmentation of Rayleigh numbers. The increment of the aspect ratio causes heat transfer to decline in different Rayleigh numbers.

Large-Eddy Simulations and Measurements of a Small-Scale High-Speed Coflowing Jet

AIAA Journal ◽  
2010 ◽  
Vol 48 (5) ◽  
pp. 963-974 ◽  
Author(s):  
Simon Eastwood ◽  
Paul Tucker ◽  
Hao Xia ◽  
Paul Dunkley ◽  
Peter Carpenter
Keyword(s):  
High Speed ◽  
Large Eddy Simulations ◽  
Small Scale ◽  
Large Eddy

scholarly journals Validation of Novel Lattice Boltzmann Large Eddy Simulations (LB LES) for Equipment Characterization in Biopharma

Processes ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 950
Author(s):  
Maike Kuschel ◽  
Jürgen Fitschen ◽  
Marko Hoffmann ◽  
Alexandra von Kameke ◽  
Michael Schlüter ◽  
...  
Keyword(s):  
Lattice Boltzmann ◽  
Transient Flow ◽  
Mixing Time ◽  
Large Eddy Simulations ◽  
Power Number ◽  
Cfd Models ◽  
Tracer Particles ◽  
Lattice Boltzmann Simulations ◽  
Large Eddy

Detailed process and equipment knowledge is crucial for the successful production of biopharmaceuticals. An essential part is the characterization of equipment for which Computational Fluid Dynamics (CFD) is an important tool. While the steady, Reynolds-averaged Navier–Stokes (RANS) k − ε approach has been extensively reviewed in the literature and may be used for fast equipment characterization in terms of power number determination, transient schemes have to be further investigated and validated to gain more detailed insights into flow patterns because they are the method of choice for mixing time simulations. Due to the availability of commercial solvers, such as M-Star CFD, Lattice Boltzmann simulations have recently become popular in the industry, as they are easy to set up and require relatively low computing power. However, extensive validation studies for transient Lattice Boltzmann Large Eddy Simulations (LB LES) are still missing. In this study, transient LB LES were applied to simulate a 3 L bioreactor system. The results were compared to novel 4D particle tracking (4D PTV) experiments, which resolve the motion of thousands of passive tracer particles on their journey through the bioreactor. Steady simulations for the determination of the power number followed a structured workflow, including grid studies and rotating reference frame volume studies, resulting in high prediction accuracy with less than 11% deviation, compared to experimental data. Likewise, deviations for the transient simulations were less than 10% after computational demand was reduced as a result of prior grid studies. The time averaged flow fields from LB LES were in good accordance with the novel 4D PTV data. Moreover, 4D PTV data enabled the validation of transient flow structures by analyzing Lagrangian particle trajectories. This enables a more detailed determination of mixing times and mass transfer as well as local exposure times of local velocity and shear stress peaks. For the purpose of standardization of common industry CFD models, steady RANS simulations for the 3 L vessel were included in this study as well.

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