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Online since: June 2014
Authors: Guo Bing Kang
Numerical simulation of jet and cross-flow mixing in Tee pipe
Guobing Kang1,a
1Department of Packaging & Printing Engineering,
Guangdong Industry Technical College , Haizhu District, Guangzhou City, China
akanggb@sina.com
Key words: Tee pipe; turbulent jet; mixing effect; numerical simulation
Abstract: In the present paper we investigated the mixing effect of uncompressible jet and cross-flow in Tee pipe based CFD, the model of Realizable was employed as the tool to simulate the flow field, and the model was validated by experimental result of relative research.
Numerical simulation of a pipeline tee mixer.
Large-eddy simulation of a round jet in a cross-flow.
Multi-scale simulation of turbulent mixing in ejector.
Multi-scale simulation of turbulent mixing in Tee mixers.
Numerical simulation of a pipeline tee mixer.
Large-eddy simulation of a round jet in a cross-flow.
Multi-scale simulation of turbulent mixing in ejector.
Multi-scale simulation of turbulent mixing in Tee mixers.
Online since: November 2022
Authors: Flavia Schwarz Franceschini Zinani, Luiz Alberto Oliveira Rocha, Andrea Natale Impiombato, Francesco Orlandi, Giorgio La Civita, Eugenia Rossi di Schio, Cesare Biserni
The simulations were conducted in a transient regime considering the pulsed effect inside the veins.
The host artery diameter, D, was fixed to 3 mm for all simulations.
As explained by Celik et al. in Ref. [13], this procedure is suitable for calculating and reporting discretization error estimates in CFD simulations.
Deplano, Three-dimensional numerical simulations of flow through a stenosed coronary bypass, Journal Biomech. 8 (2000) 1011-1022
Freitas, Procedure for estimation and reporting of uncertainty due to discretization in CFD applications, Journal of Fluids Eng.
The host artery diameter, D, was fixed to 3 mm for all simulations.
As explained by Celik et al. in Ref. [13], this procedure is suitable for calculating and reporting discretization error estimates in CFD simulations.
Deplano, Three-dimensional numerical simulations of flow through a stenosed coronary bypass, Journal Biomech. 8 (2000) 1011-1022
Freitas, Procedure for estimation and reporting of uncertainty due to discretization in CFD applications, Journal of Fluids Eng.
Online since: December 2010
Authors: Zhi Guo Zhang, Ming Yue Liu, Qi Zhou, Jing Hu, Xian Zhou Wang
Based on CFD technology, flow around a 2-dimentional hydrofoil of highly skewed propeller and NACA series hydrofoils are simulated using 2D incompressible Navier-Stokes equation with Realizable k- turbulence model.
In the numerical simulation, the vapor volume fraction is calculated for different cavitation numbers and angles of attack by adding the mixture model.
Demin [9] develop a cavitation calculation scheme based on the Bubble Two-phase Flow cavity with a Large Eddy Simulation methodology for the simulation of ALE 15 and ALE 25 hydrofoils.
Simulations for 0, 4 and 8 degrees angle of attack are presented.
Conclusion A numerical simulation is applied to compute the flow around hydrofoils, which is demonstrated available by the comparison of experimental data.
In the numerical simulation, the vapor volume fraction is calculated for different cavitation numbers and angles of attack by adding the mixture model.
Demin [9] develop a cavitation calculation scheme based on the Bubble Two-phase Flow cavity with a Large Eddy Simulation methodology for the simulation of ALE 15 and ALE 25 hydrofoils.
Simulations for 0, 4 and 8 degrees angle of attack are presented.
Conclusion A numerical simulation is applied to compute the flow around hydrofoils, which is demonstrated available by the comparison of experimental data.
Online since: September 2014
Authors: Xing Jun Hu, Yue Xing Miao
Simulation of Interference Characteristics of the Model Supporting Beams with Different Forms of Section in Wind Tunnel Test
Xingjun Hu 1,a, Yuexing Miao 1,b
1 State Key Laboratory of Automotive Simulation and Control, Jilin University,
Changchun 130022, China
a hxj@jlu.edu.cn (Corresponding Author), b miaoyuexing1212@163.com
Keywords: Automotive aerodynamics, Computational fluid dynamics, Standard MIRA model, Model supporting beam, Forms of section.
The commercial CFD software - Ansys Fluent was used to simulate the three-dimensional flow field around the standard MIRA model installed with three different kinds of supporting beams.
Numerical Simulation Geometrical Model.
During the process of numerical simulation, three layers of triangular prism meshes are stretched on the surface of the body in order to simulate the adhesive layer [5].
Results Analysis The numerical simulation results of four models (standard MIRA model is a control group) are listed in Table 1.
The commercial CFD software - Ansys Fluent was used to simulate the three-dimensional flow field around the standard MIRA model installed with three different kinds of supporting beams.
Numerical Simulation Geometrical Model.
During the process of numerical simulation, three layers of triangular prism meshes are stretched on the surface of the body in order to simulate the adhesive layer [5].
Results Analysis The numerical simulation results of four models (standard MIRA model is a control group) are listed in Table 1.
Online since: November 2014
Authors: Shafaat Ahmed Salahudeen, Abdul Razak Rahmat
Possibility of generating strong secondary flow in mixing region of twin screw extruder was analyzed numerical FEM simulation using the commercial CFD package Polyflow.
High density polyethylene, HDPE54 purchased from the local market was used as the fluid domain for simulation.
Simulations were performed on 8 different geometries as listed in Table 1.
Anderson, Simulation of distributive mixing inside mixing elements of co-rotating twin-screw extruders.
Hernandez-Ortiz, Polymer Processing – Modeling and Simulation Hanser Gardner Publication, Ohio, 2006
High density polyethylene, HDPE54 purchased from the local market was used as the fluid domain for simulation.
Simulations were performed on 8 different geometries as listed in Table 1.
Anderson, Simulation of distributive mixing inside mixing elements of co-rotating twin-screw extruders.
Hernandez-Ortiz, Polymer Processing – Modeling and Simulation Hanser Gardner Publication, Ohio, 2006
Online since: February 2012
Authors: Ji Zhou, Yong Yang Jiang
Created the fluidization models of the fluidized bed in the CFD software FLUENT, then simulated for improved fluidization process, and given the analysis for fluidization quality.
Simulation of this program in FLUENT indicates that the type of board can eliminate the dead band of splitter board effectively.
Compared to 42°of the original design of the quality of fluidization, choose 40°and 44°cases in simulation.
Simulation result shows in figure 2~4.
Han: Application and Simulation Examples of Fluid Engineering in FLUENT (Beijing Institute of Technology Press, China 2004) (In Chinese)
Simulation of this program in FLUENT indicates that the type of board can eliminate the dead band of splitter board effectively.
Compared to 42°of the original design of the quality of fluidization, choose 40°and 44°cases in simulation.
Simulation result shows in figure 2~4.
Han: Application and Simulation Examples of Fluid Engineering in FLUENT (Beijing Institute of Technology Press, China 2004) (In Chinese)
Online since: May 2011
Authors: Feng Ling Yang, Shen Jie Zhou, Gui Chao Wang
In the present work, detached eddy simulation (DES) of the turbulent flow in an unbaffled stirred tank agitated by a six-pitched-blade turbine was carried out.
Numerical simulations DES model is constructed based on the standard one-equation Spalart-Allmaras (S-A) model.
The CFD solver FLUENT 6.3 was used to perform the numerical simulations.
The simulation can only provide instantaneous velocities.
In order to compare the simulation results with the LDV data, it’s necessary to carry out statistical processing.
Numerical simulations DES model is constructed based on the standard one-equation Spalart-Allmaras (S-A) model.
The CFD solver FLUENT 6.3 was used to perform the numerical simulations.
The simulation can only provide instantaneous velocities.
In order to compare the simulation results with the LDV data, it’s necessary to carry out statistical processing.
Online since: December 2009
Authors: Dylan Orpen, Muhammad M. Morshed, Dermot Brabazon, Sumsun Naher
This work was conducted by means of computational fluid
dynamics (CFD) using Fluent 6.
The CFD side of the investigation was conducted using Fluent 5 with the microchannel divided in 40 x 40 meshed cells.
Figure 5: Comparison of simulation and observation experiment results for three-dimensional flow patterns [19] The papers draw conclusions from the combined experimental and simulation work.
Using the CFD software CoventorWareTM the model was drawn and solved.
In these CFD packages the geometry was drawn, then it was meshed using brick elements of 2たm, no-slip conditions were applied at the walls, and finally a pressure of 2 bars was applied to the inlets and a pressure of 2 x 10-4 bar was set at the outlet.
The CFD side of the investigation was conducted using Fluent 5 with the microchannel divided in 40 x 40 meshed cells.
Figure 5: Comparison of simulation and observation experiment results for three-dimensional flow patterns [19] The papers draw conclusions from the combined experimental and simulation work.
Using the CFD software CoventorWareTM the model was drawn and solved.
In these CFD packages the geometry was drawn, then it was meshed using brick elements of 2たm, no-slip conditions were applied at the walls, and finally a pressure of 2 bars was applied to the inlets and a pressure of 2 x 10-4 bar was set at the outlet.
Online since: August 2013
Authors: Xue Bing Dai, Jian Pu Xu, Liang Zhang
Numerical Simulation and Analysis of Interior Shear Stress in Centrifugal Cardio Pump
DAI Xue-bing1,a,XU Jian-pu2,b,ZHANG liang2,c
1 Petrochina Anhui Marketing Company, Anhui ,230041,China
2Harbin Tianyuan Petrochemical Engineering Co.Ltd,Harbin,150090,China
a124560496@qq.com, bjianpu252800@sina.com, c11941153@qq.com
Keywords: centrifugal cardio pump; CFD; numerical simulation; shear stress; hemolytic; speed coefficient method
Abstract.
We can obtain the flow distribution of impeller and inside the shell at design conditions from geometric modeling and numerical simulation of two cardio pumps by using related software, and compared the interior shear stress distribution of two cardio pumps at the same condition.
calculation results and analysis The calculation results of cardio pump internal shear stress were analyzed from numerical simulation. 4.1.
Conclusion Numerical simulations were carried out for two centrifugal cardio pumps with recirculation region and anti-recirculation region.
Journal of Biomedical Engineering , 2003;20(4) 605~607(in Chinese) [6] Wang Guangyi .Numerical Simulation and Analysis of Conical spiral impeller Blood Pump Flow Field[D].
We can obtain the flow distribution of impeller and inside the shell at design conditions from geometric modeling and numerical simulation of two cardio pumps by using related software, and compared the interior shear stress distribution of two cardio pumps at the same condition.
calculation results and analysis The calculation results of cardio pump internal shear stress were analyzed from numerical simulation. 4.1.
Conclusion Numerical simulations were carried out for two centrifugal cardio pumps with recirculation region and anti-recirculation region.
Journal of Biomedical Engineering , 2003;20(4) 605~607(in Chinese) [6] Wang Guangyi .Numerical Simulation and Analysis of Conical spiral impeller Blood Pump Flow Field[D].
Online since: May 2009
Authors: Li Zhang, Qiao Ling Yuan, Shi Ming Ji, Bin Gong, Y. Pan
Fig.2 Flow passage model
Pressure and velocity simulation
Making use of CFD[13] fluid analysis software, the simulation results of the pressure and simulation
distribution are as follows:
Fig.3 Residual curves
RSM residual or maximum residual reflect the disparity between flow field and the simulative flow
field, the smaller the residual, the better it is.
Through the simulation of the experiment, the residual is kept in an allowable range, so we can make a good interation calculation.
Fig.5 Velosity vector map From the CFD velocity simulations figure5, we can see that the velocity fluctuation in the pipeline doesn't vary much.
[13] Z.Z.Han, J.Wang,X.P.Lan: Fluid Engineering Simulation Calculation Examples and Application (Being Institute of Technology Press, 2004)
Through the simulation of the experiment, the residual is kept in an allowable range, so we can make a good interation calculation.
Fig.5 Velosity vector map From the CFD velocity simulations figure5, we can see that the velocity fluctuation in the pipeline doesn't vary much.
[13] Z.Z.Han, J.Wang,X.P.Lan: Fluid Engineering Simulation Calculation Examples and Application (Being Institute of Technology Press, 2004)