Numerical Simulation of a Natural Gas Cylindrical Cyclone Separator Using Computational Fluid Dynamics

2019 ◽  
Vol 58 (31) ◽  
pp. 14323-14332 ◽  
Author(s):  
Juan Sebastian Cornejo Caceres ◽  
Natalia Prieto ◽  
German Gonzalez ◽  
Arlex Chaves-Guerrero
Keyword(s):  
Fluid Dynamics ◽  
Numerical Simulation ◽  
Computational Fluid Dynamics ◽  
Natural Gas ◽  
Cyclone Separator ◽  
Cylindrical Cyclone

scholarly journals Experimental and computational fluid dynamics-based numerical simulation of using natural gas in a dual-fueled diesel engine

2018 ◽  
Vol 12 (1) ◽  
pp. 517-534 ◽  
Author(s):  
Eivaz Akbarian ◽  
Bahman Najafi ◽  
Mohsen Jafari ◽  
Sina Faizollahzadeh Ardabili ◽  
Shahaboddin Shamshirband ◽  
...  
Keyword(s):  
Fluid Dynamics ◽  
Numerical Simulation ◽  
Computational Fluid Dynamics ◽  
Diesel Engine ◽  
Natural Gas

Numerical simulation of gravity driven turbidity currents using Computational fluid dynamics

2021 ◽  
Author(s):  
Mayank Rakesh ◽  
Paritosh Kumar Rakesh ◽  
Brajesh Kumar ◽  
Satajit Chowdhury ◽  
Atul Kumar Patidar
Keyword(s):  
Fluid Dynamics ◽  
Numerical Simulation ◽  
Computational Fluid Dynamics ◽  
Turbidity Currents ◽  
Gravity Driven

Computational Fluid Dynamics Techniques for Flows in Lapple Cyclone Separator

2005 ◽  
Vol 498-499 ◽  
pp. 179-185
Author(s):  
A.F. Lacerda ◽  
Luiz Gustavo Martins Vieira ◽  
A.M. Nascimento ◽  
S.D. Nascimento ◽  
João Jorge Ribeiro Damasceno ◽  
...  
Keyword(s):  
Fluid Dynamics ◽  
Experimental Data ◽  
Computational Fluid Dynamics ◽  
Turbulent Flow ◽  
Reynolds Stress ◽  
Cyclone Separator ◽  
Two Dimensional ◽  
Stress Components ◽  
Computational Fluid Dynamics Cfd

A two-dimensional fluidynamics model for turbulent flow of gas in cyclones is used to evaluate the importance of the anisotropic of the Reynolds stress components. This study presents consisted in to simulate through computational fluid dynamics (CFD) package the operation of the Lapple cyclone. Yields of velocity obtained starting from a model anisotropic of the Reynolds stress are compared with experimental data of the literature, as form of validating the results obtained through the use of the Computational fluid dynamics (Fluent). The experimental data of the axial and swirl velocities validate numeric results obtained by the model.

scholarly journals An introduction to computational fluid dynamics based on numerical simulation of pulsatile flow in the left coronary artery

2012 ◽  
Vol 3 ◽  
pp. 366-374
Author(s):  
Jarosław Wasilewski ◽  
Kryspin Mirota ◽  
Sylwia Peryt-Stawiarska ◽  
Andrzej Nowakowski ◽  
Lech Poloński ◽  
...  
Keyword(s):  
Fluid Dynamics ◽  
Numerical Simulation ◽  
Computational Fluid Dynamics ◽  
Coronary Artery ◽  
Pulsatile Flow ◽  
Left Coronary Artery

Computational Fluid Dynamics Techniques for Flows in Lapple Cyclone Separator

2005 ◽  
pp. 179-185
Author(s):  
A.F. Lacerda ◽  
Luiz G.M. Vieira ◽  
A.M. Nascimento ◽  
S.D. Nascimento ◽  
João Jorge Ribeiro Damasceno ◽  
...  
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Cyclone Separator

scholarly journals Effect of geometrical factors interactions on design optimization process of a natural gas ejector

2019 ◽  
Vol 11 (9) ◽  
pp. 168781401988036
Author(s):  
Amin Hassan Amin ◽  
Ibrahim Elbadawy ◽  
E Elgendy ◽  
M Fatouh
Keyword(s):  
Fluid Dynamics ◽  
Computational Fluid Dynamics ◽  
Natural Gas ◽  
Optimum Design ◽  
Average Error ◽  
Minor Effect ◽  
Optimization Approach ◽  
Entrainment Ratio ◽  
Geometrical Factors ◽  
Discharge Pressure

Enhancing the ejector entrainment ratio plays an important role in the ejector performance. In this article, a surrogate-based optimization approach along with computational fluid dynamics technique has been employed to optimize the entrainment ratio of a single-phase ejector working with natural gas. Nine ejector geometrical factors have been varied to maximize the ejector entrainment ratio. Validation results of the presented computational fluid dynamics model were in a good agreement with the experimental data from the literature with an average error of 0.6% in the critical mode. Reported results showed that the optimum design achieves entrainment ratio of 19.45% at 12, 2, and 5.2 MPa motive pressure, induced pressure, and discharge pressure, respectively. Moreover, the primary nozzle convergent angle and throat length are insignificant factors. Furthermore, secondary nozzle inclination angle has a minor effect on the entrainment ratio of the optimum design.

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