Solution Adaptive Grids Applied to Low Reynolds Number Flow

2002 ◽  
Author(s):  
Govert de With ◽  
Arne E. Holdo̸ ◽  
Thomas A. Huld
Keyword(s):  
Numerical Study ◽  
Turbulent Viscosity ◽  
Flow Simulation ◽  
Mesh Size ◽  
Adaptive Grids ◽  
Adaptation Algorithm ◽  
Flow Around A Cylinder ◽  
Reynolds Number Flow ◽  
Number Flow ◽  
Mesh Structures

A numerical study has been undertaken to investigate the use of a solution adaptive grid for flow around a cylinder in the laminar flow regime. The main purpose of this work is twofold. The first aim is to investigate the suitability of a grid adaptation algorithm and the reduction in mesh size that can be obtained. Secondly, the uniform asymmetric flow structures are ideal to validate the mesh structures due to mesh refinement and consequently the selected refinement criteria. The refinement criteria in this work are derived from turbulent viscosity, which is not applied to the flow simulation, but instead used as a measure for grid refinement.

Simple and Robust Cut-Cell Method for High-Reynolds-Number-Flow Simulation on Cartesian Grids

AIAA Journal ◽  
2017 ◽  
Vol 55 (8) ◽  
pp. 2833-2841 ◽  
Author(s):  
Motoshi Harada ◽  
Yoshiharu Tamaki ◽  
Yuichi Takahashi ◽  
Taro Imamura
Keyword(s):  
Reynolds Number ◽  
High Reynolds Number ◽  
Flow Simulation ◽  
Cartesian Grids ◽  
Cell Method ◽  
Reynolds Number Flow ◽  
Cut Cell ◽  
Number Flow ◽  
High Reynolds

scholarly journals Numerical study of flow across an ellipse and a circle placed in a uniform stream of infinite extent

2020 ◽  
Author(s):  
Adnan Anwar ◽  
Mudassar Razzaq ◽  
Liudmila Rivkind
Keyword(s):  
Reynolds Number ◽  
Numerical Study ◽  
Angle Of Attack ◽  
Navier Stokes ◽  
Navier Stokes Equation ◽  
Reynolds Number Flow ◽  
Infinite Extent ◽  
Number Flow ◽  
Conforming Finite Element Method ◽  
Drag And Lift

As an example of an aerodynamics prototypical study, we examined a two-dimensional low Reynolds number flow over obstacles immersed in a stream of infinite extent. The Navier Stokes equation is being discretized by non conforming finite element method approach. The resulting discretized nonlinear algebraic system is being solved by using the fixpoint method and the Newton method and multigrid method for the linear sub-problem employed. The magnitude of the uniform upstream velocity under the study of the problem for Reynolds number in the range 1 < Re < 100 and the angle of attack of the upstream velocity at α = -5; 0; 5 degrees performed. Analysis of the resulting drag and lift forces acting on obstacles with respect to the angle of attack of the upstream velocity and the Reynolds number is made. Moreover, the influence of one obstacle on the resulting drag and lift coefficients of other obstacles determined. The results are being presented in a graphical and vector form.

Numerical Study on Thermal and Fluid Flow Around the New Type of Micro Flow Sensor

2003 ◽  
Author(s):  
Munehiro Yoshida ◽  
Kazuyuki Toda ◽  
Makoto Yamamoto ◽  
Shoji Kamiunten ◽  
Shinji Honami
Keyword(s):  
Numerical Study ◽  
Flow Direction ◽  
Flow Sensor ◽  
Reynolds Number Flow ◽  
Flow Sensing ◽  
Thin Film Resistors ◽  
New Type ◽  
Micro Flow ◽  
Number Flow ◽  
Sensor Configuration

We design a new type of the micro flow sensor which can detect the wall shear stress and the flow direction. In the new type of the micro flow sensor configuration, the two sensing elements are arrayed on the silicon chip and also used as heater due to a self-heating of the elements for higher frequency response and miniaturization. The flow sensing elements are thermal sensitive thin film resistors fabricated on the silicon chip. The principle of the micro flow sensor is based on the convective heat transfer from the heated resistance to the surrounding fluid. The optimum spacing of the heaters is discussed by the numerical simulation of a two-dimensional low Reynolds number flow including the heat conduction within the chip. In the feasibility study the proposed micro flow sensor with 30% reduction in size is found to have higher sensitivity.

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