Selection of Computational Fluid Dynamics Tools Used in Development of the Space Launch System Liftoff and Transition Lineloads Databases

2019 ◽  
Author(s):  
Nalin A. Ratnayake ◽  
Steven Krist ◽  
Farhad Ghaffari
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Space Launch ◽  
Selection Of

scholarly journals Comparison of Blade Element Method and CFD Simulations of a 10 MW Wind Turbine

Fluids ◽  
2018 ◽  
Vol 3 (4) ◽  
pp. 73 ◽  
Author(s):  
Galih Bangga
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Flow Separation ◽  
Spatial Interpolation ◽  
Flow Conditions ◽  
Cfd Simulations ◽  
Computational Fluid Dynamics Cfd ◽  
Correction Terms ◽  
Selection Of ◽  
Blade Element

The present studies deliver the computational investigations of a 10 MW turbine with a diameter of 205.8 m developed within the framework of the AVATAR (Advanced Aerodynamic Tools for Large Rotors) project. The simulations were carried out using two methods with different fidelity levels, namely the computational fluid dynamics (CFD) and blade element and momentum (BEM) approaches. For this purpose, a new BEM code namely B-GO was developed employing several correction terms and three different polar and spatial interpolation options. Several flow conditions were considered in the simulations, ranging from the design condition to the off-design condition where massive flow separation takes place, challenging the validity of the BEM approach. An excellent agreement is obtained between the BEM computations and the 3D CFD results for all blade regions, even when massive flow separation occurs on the blade inboard area. The results demonstrate that the selection of the polar data can influence the accuracy of the BEM results significantly, where the 3D polar datasets extracted from the CFD simulations are considered the best. The BEM prediction depends on the interpolation order and the blade segment discretization.

Selection of window sizes for optimizing occupational comfort and hygiene based on computational fluid dynamics and neural networks

2011 ◽  
Vol 46 (2) ◽  
pp. 298-314 ◽  
Author(s):  
G.M. Stavrakakis ◽  
D.P. Karadimou ◽  
P.L. Zervas ◽  
H. Sarimveis ◽  
N.C. Markatos
Keyword(s):  
Fluid Dynamics ◽  
Neural Networks ◽  
Computational Fluid Dynamics ◽  
Selection Of

Fluid Dynamics Modeling of Particulate Deposition in the Lungs

2005 ◽  
Vol 28 (7) ◽  
pp. 667-677 ◽  
Author(s):  
D. Fontana ◽  
M. Vanni ◽  
G. Baldi
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Numerical Modeling ◽  
Particle Deposition ◽  
Detailed Knowledge ◽  
Dynamics Modeling ◽  
Human Lungs ◽  
Predictive Relationships ◽  
The Right ◽  
Selection Of

Detailed knowledge of the transport of air and particles in the human lungs is needed for two reasons: the selection of the right dosage of aerosol drugs used in respiratory therapy and the analysis of the maximum allowable concentration for particulate in air. This work is the first step of a more complex study, purpose of which is to provide some predictive relationships in order to evaluate the depth reached by the particles in the lungs as a function of their size using numerical modeling. In this phase we validated our numerical method, comparing the obtained results with those found in the literature. The Computational Fluid Dynamics code FLUENT 6 with the Eulerian-Lagrangian approach was used to simulate particle trajectories. A model of double bifurcation, based on the morphometric studies by Weibel and Hammersley and Olson, was adopted in order to represent the whole central part of the respiratory system with the same geometry, appropriately scaled down. A method to create a realistic velocity profile at the inlet of the domain was developed, in order to obtain data about particle deposition also reliable about the first bifurcation, unlike previous works.

scholarly journals Comparison of Blade Element Method and CFD Simulations of a 10 MW Wind Turbine

2018 ◽  
Author(s):  
Galih Bangga
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Flow Separation ◽  
Spatial Interpolation ◽  
Flow Conditions ◽  
Cfd Simulations ◽  
Computational Fluid Dynamics Cfd ◽  
Correction Terms ◽  
Selection Of ◽  
Blade Element

The present studies deliver the computational investigations of a 10 MW turbine with a diameter of 205.8 m developed within the framework of the AVATAR (Advanced Aerodynamic Tools for Large Rotors) project. The simulations were carried out using two methods with different fidelity levels, namely the computational fluid dynamics (CFD) and blade element and momentum (BEM) approaches. For this purpose, a new BEM code namely B-GO was developed employing several correction terms and three different polar and spatial interpolation options. Several flow conditions were considered in the simulations, ranging from the design condition to the off-design condition where massive flow separation takes place, challenging the validity of the BEM approach. An excellent agreement is obtained between the BEM computations and the 3D CFD results for all blade regions, even when massive flow separation occurs on the blade inboard area. The results demonstrate that the selection of the polar data can influence the accuracy of the BEM results significantly, where the 3D polar datasets extracted from the CFD simulations are considered the best. The BEM prediction depends on the interpolation order and the blade segment discretization.

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