Predictor–Corrector Nodal Integral Method for simulation of high Reynolds number fluid flow using larger time steps in Burgers ’ equation

2020 ◽  
Vol 79 (5) ◽  
pp. 1362-1381
Author(s):  
Niteen Kumar ◽  
Rudrodip Majumdar ◽  
Suneet Singh
Keyword(s):  
Reynolds Number ◽  
Fluid Flow ◽  
Integral Method ◽  
High Reynolds Number ◽  
Burgers Equation ◽  
High Reynolds ◽  
Nodal Integral Method ◽  
Predictor Corrector

scholarly journals Stable simulation of fluid flow with high-Reynolds number using Ehrenfests’ steps

2007 ◽  
Vol 45 (1-4) ◽  
pp. 389-408 ◽  
Author(s):  
R. Brownlee ◽  
A. N. Gorban ◽  
J. Levesley
Keyword(s):  
Reynolds Number ◽  
Fluid Flow ◽  
High Reynolds Number ◽  
High Reynolds

scholarly journals Aerodynamic Flow Visualisation Over Surfaces Using Smoke Separation Method from Ansys Fluent

2020 ◽  
Vol 5 (7) ◽  
pp. 32-35
Author(s):  
Virendra Talele ◽  
Niranjan Sonawane ◽  
Omkar Chavan ◽  
Akash Divate ◽  
Niraj Badhe ◽  
...  
Keyword(s):  
Reynolds Number ◽  
Fluid Flow ◽  
High Reynolds Number ◽  
Turbulence Modeling ◽  
Tracking System ◽  
Adverse Pressure Gradient ◽  
Point Particle ◽  
Flow Visualisation ◽  
Ansys Fluent ◽  
High Reynolds

In the present study, three workbench problem for turbulence modeling with high Reynolds number is used to determine the behavior of fluid flow around the surfaces. The cases for simulation is developed using Ansys workbench CFD fluent module. The computational results are obtained using solution sets of high Reynolds number with the LagrangianEulerian (LE) approach of point particle tracking system in Nevers stoke RANS Equation. The effect of flow pattern around the surface and its kinetic behavior of fluid is evaluated in post-process method of results. By observation, it has been tabulated that fluid flow separation is arousal at the corner end of all surfaces which happens due to evoking of a large adverse pressure gradient.

Burgers’ equation with high Reynolds number

1997 ◽  
Vol 9 (6) ◽  
pp. 1853-1855 ◽  
Author(s):  
D. S. Zhang ◽  
G. W. Wei ◽  
D. J. Kouri ◽  
D. K. Hoffman
Keyword(s):  
Reynolds Number ◽  
High Reynolds Number ◽  
Burgers Equation ◽  
High Reynolds

A Parameter Identification Method for the Rotordynamic Coefficients of a High Reynolds Number Hydrostatic Bearing

1993 ◽  
Vol 115 (3) ◽  
pp. 264-270 ◽  
Author(s):  
C. Rouvas ◽  
D. W. Childs
Keyword(s):  
Reynolds Number ◽  
Fluid Flow ◽  
High Reynolds Number ◽  
Theoretical Development ◽  
Single Frequency ◽  
Unique Problem ◽  
Hydrostatic Bearing ◽  
Rotordynamic Coefficients ◽  
Ratio Speed ◽  
High Reynolds

In identifying the rotordynamic coefficients of a high-Reynolds-number hydrostatic bearing, fluid-flow induced forces present a unique problem, in that they provide an unmeasureable and uncontrollable excitation to the bearing. An analysis method is developed that effectively eliminates the effects of fluid-flow induced excitation on the estimation of the bearing rotordynamic coefficients, by using power spectral densities. In addition to the theoretical development, the method is verified experimentally by single-frequency testing, and repeatability tests. Results obtained for a bearing are the twelve rotordynamic coefficients (stiffness, damping, and inertia coefficients) as functions of eccentricity ratio, speed, and supply pressure.

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