Sort by:
Publication Type:
Open access:
Publication Date:
Periodicals:
Search results
Online since: January 2012
Authors: Z.H. Xiong, Zhen Lin Li
            
                CFD is a good tool for the study.
The numerical simulation of flows is achieved by CFD (computational fluid dynamics).
CFD presents the orientation of flow study.
The first task of CFD is grid generation.
Numerical Simulation of Flow in Flowrate Measurement Section of Natural Gas Pipelines.
            
    The numerical simulation of flows is achieved by CFD (computational fluid dynamics).
CFD presents the orientation of flow study.
The first task of CFD is grid generation.
Numerical Simulation of Flow in Flowrate Measurement Section of Natural Gas Pipelines.
Online since: February 2014
Authors: Hai Hong Zhang, Zhong Ying Wang, Qiang Liu, Peng Fei Ma
            
                The effect of the length of mesh pipe on ventilation effect was studied by numerical simulation.
It is important and difficult of model building and settling to study the temperature variation field of storage grain, and computational fluid dynamic (CFD) method is a good way to settle these problems, which have the characteristics of short research cycle, efficient simulation and low cost [4].
CFD technology was already applied for air conditioner, drying, ventilation and transportation and other relevant field [5].
Therefore, compared with experiments, comprehensive results can be obtained by CFD simulation.
Result and discussion Three design projects were adopted in simulation study.
            
    It is important and difficult of model building and settling to study the temperature variation field of storage grain, and computational fluid dynamic (CFD) method is a good way to settle these problems, which have the characteristics of short research cycle, efficient simulation and low cost [4].
CFD technology was already applied for air conditioner, drying, ventilation and transportation and other relevant field [5].
Therefore, compared with experiments, comprehensive results can be obtained by CFD simulation.
Result and discussion Three design projects were adopted in simulation study.
Online since: July 2011
Authors: Hui Li, Xin Hui Ma
            
                3D Numerical Simulation of the Fluidized Bed’s Cold Distributor
Hui Li 1, a , Xinhui Ma 2, b
1Huang He S&T College, Zhengzhou, 450063, Henan, China
2Xi’an Spaceflight Huawei Chemical biologic Engineering Co., Ltd, xi’an, Shanxi,710001, China
afeng_109_1@163.com, b179321833@qq.com
Keywords: Fluidized Bed, cold distributor, CFD, structural optimization.
Because of excessive pressure loss when the gas went through distributor in fluidized bed (FB), based on the principle and method of computational fluid dynamics (CFD), using the software, FLUENT, the inner flow field in the fluidized bed with distributor was simulated.
So, based on the principle and method of computational fluid dynamics (CFD), using the software, FLUENT, the inner flow field in the fluidized bed with distributor was simulated and the good advice was given on the structural optimization of the cold distributor. 3D Geometric Model In order to simulate the inner flow field more accurately, the simulation adopted the 3D model.
Fig.3 The mesh in the computational domain Simulation Results The pressure distribution with distributor and without distributor.
M., Discrete particle simulation of bubble and slug formation in a two-dimensional gas-fluidized bed: a hard-sphere approach, Chem.
            
    Because of excessive pressure loss when the gas went through distributor in fluidized bed (FB), based on the principle and method of computational fluid dynamics (CFD), using the software, FLUENT, the inner flow field in the fluidized bed with distributor was simulated.
So, based on the principle and method of computational fluid dynamics (CFD), using the software, FLUENT, the inner flow field in the fluidized bed with distributor was simulated and the good advice was given on the structural optimization of the cold distributor. 3D Geometric Model In order to simulate the inner flow field more accurately, the simulation adopted the 3D model.
Fig.3 The mesh in the computational domain Simulation Results The pressure distribution with distributor and without distributor.
M., Discrete particle simulation of bubble and slug formation in a two-dimensional gas-fluidized bed: a hard-sphere approach, Chem.
Online since: June 2013
Authors: Wen Yan Yu, Jian Guo Wang
            
                Keywords: Stent; Fluid-structure interaction (FSI); Finite element method (FEM); Computational fluid dynamics (CFD)
Abstract: The 316L stainless steel stent was analyzed about the effect on interaction with plaque and vessels and blood flow during and after implantation using finite element method (FEM) and computational fluid dynamics (CFD).
Another is the computational fluid dynamic (CFD) that is mainly analyzed how stent implantation impacts on blood flow, etc.
Numerical simulations 2.1 Physical models The Pro/E 4.0 is used to develop the geometry of the balloon, stent, plaque and artery.
Finite element simulation of slotted tube (stent) with the presence of plaque and artery by balloon expansion.
Three-dimensional numerical simulations of physiological flows in a stented coronary bifurcation.
            
    Another is the computational fluid dynamic (CFD) that is mainly analyzed how stent implantation impacts on blood flow, etc.
Numerical simulations 2.1 Physical models The Pro/E 4.0 is used to develop the geometry of the balloon, stent, plaque and artery.
Finite element simulation of slotted tube (stent) with the presence of plaque and artery by balloon expansion.
Three-dimensional numerical simulations of physiological flows in a stented coronary bifurcation.
Online since: August 2011
Authors: Si Huang, Ding Feng, Li Luo, Wei Guo Ma
            
                This paper presents a simulation to investigate the effect of liquid’s viscosity on the flow field and hydrocyclone’s efficiency, using CFD technique and k-ε turbulce model.
The simulation calculates the two-phase flow under different liquid viscosity.
This paper, to explore how liquid’s viscosity affects the flow field and performance within a hydrocyclone, performs a simulation by changing the liquid viscosity and the particle volume fraction in the feed flow using CFD technique and RNG k-ε turbulence model[1-4].
Geometries and Simulation The hydrocyclone employed consists of a volute feed inlet, a cylinder, a cone, overflow tube and an underflow exit.
Fig.6 Pressure drop curve Conclusions This paper performs a simulation with CFX.
            
    The simulation calculates the two-phase flow under different liquid viscosity.
This paper, to explore how liquid’s viscosity affects the flow field and performance within a hydrocyclone, performs a simulation by changing the liquid viscosity and the particle volume fraction in the feed flow using CFD technique and RNG k-ε turbulence model[1-4].
Geometries and Simulation The hydrocyclone employed consists of a volute feed inlet, a cylinder, a cone, overflow tube and an underflow exit.
Fig.6 Pressure drop curve Conclusions This paper performs a simulation with CFX.
Online since: November 2012
Authors: Ya Xin Su, Xin Wan
            
                Simulation results showed that the horizontal arrangement of the heat source in the workshop influenced heavily the air flow and temperature distribution.
Numerical simulation based on computational fluid dynamics (CFD) method provides a powerful tool for natural ventilation design and parameter optimization [1].
Many authors used CFD to study the natural ventilation of different buildings [2-5].
Numerical model and simulation method.
Realizable k−ε turbulent model [8].was selected for the CFD calculation after several trial calculations and comparison to related experimental data.
            
    Numerical simulation based on computational fluid dynamics (CFD) method provides a powerful tool for natural ventilation design and parameter optimization [1].
Many authors used CFD to study the natural ventilation of different buildings [2-5].
Numerical model and simulation method.
Realizable k−ε turbulent model [8].was selected for the CFD calculation after several trial calculations and comparison to related experimental data.
Online since: December 2013
Authors: Li Da Zhang, Jing Yang, Lei Lu, Long Zhou, Zhi Jian Xu
            
                CFD analysis indicates that unstable vortices exist between runner blades.
To accurately find out the causes of vibration and noise in this power station, by checking the data, combining with the existing mature experiences about the transformation of the hydropower station at home and abroad, through plotting vibration points on the turbine performance curve and CFD simulation, it is learned that the vibration and noise are brought about by the channel vortices at higher head than the rated head, full load and overload.
CFD numerical simulation.
To further verify the vibration and noise were caused by the channel vortices, hydraulic parameters of the vibration operating points were reviewed and calculated under the CFD numerical simulation.
For example, vibration point a is marked by the head 62.59m and power 20.619MW, the CFD calculated results are in Figure 4-7.
            
    To accurately find out the causes of vibration and noise in this power station, by checking the data, combining with the existing mature experiences about the transformation of the hydropower station at home and abroad, through plotting vibration points on the turbine performance curve and CFD simulation, it is learned that the vibration and noise are brought about by the channel vortices at higher head than the rated head, full load and overload.
CFD numerical simulation.
To further verify the vibration and noise were caused by the channel vortices, hydraulic parameters of the vibration operating points were reviewed and calculated under the CFD numerical simulation.
For example, vibration point a is marked by the head 62.59m and power 20.619MW, the CFD calculated results are in Figure 4-7.
Online since: July 2011
Authors: Jin Sheng Ma, Shao Guo Wang, Xin Tao Liu, Da Min Zhuang
            
                CFD-based design of the natural ventilation system of the traffic center of T3 in Beijing International Airport
Jinsheng Ma1, a, Xintao Liu2, b, Damin Zhuang3, c , Shaoguo Wang4, d
1,2 School of Mechanical Engineering and Automation, Beihang University, Beijing, China
 3School of Aeronautic Science and Engineering, Beihang University, Beijing, China
4Beijing Aviation Oil Engineering Consultation Company, Beijing, China
axtliu0407@gmail.com
Keywords: CFD, GTC, natural ventilation, simulation, energy-saving, environmental protection
Abstract.
With methods of CFD, and from the perspective of the Energy Saving and Environmental Protection, natural wind and related technology are utilizes, and natural ventilation and heat transferring guidance systems are designed, so that the internal temperature is reduced and the indoor comfort is improved.
Generally believed that, no matter how complex turbulent flow is, three-dimensional, unsteady Navier-Stokes equations is still applicable for turbulent instantaneous movement, so numerical method of turbulence simulation also focus on the numerical solution of the three-dimensional unsteady Navier-Stokes Equations.
Research and Simulation of Natural Ventilation Geometric modeling, boundary conditions and setting of the Fluent parameters Size of calculation model refers the size of prototype model, and the size of computational domain of ellipsoid is(50×300×50 m3); Boundary condition: coming flow is shear flow, and turbulence characteristics directly give the turbulent kinetic energy and turbulence dissipation rate by UDF; Outlet boundary conditions: fully developed outflow boundary conditions; Building surface and ground: wall conditions with no slip; In setting of Fluent 6.0, the solver is pressure-based, and turbulence model uses the standard model.
At different wind speeds, through the simulation analysis of the velocity field, temperature field and pressure field inside, it can be concluded that when the wind speed of the inlet is 10m/s, needs of human comfort is able to be met. 3.
            
    With methods of CFD, and from the perspective of the Energy Saving and Environmental Protection, natural wind and related technology are utilizes, and natural ventilation and heat transferring guidance systems are designed, so that the internal temperature is reduced and the indoor comfort is improved.
Generally believed that, no matter how complex turbulent flow is, three-dimensional, unsteady Navier-Stokes equations is still applicable for turbulent instantaneous movement, so numerical method of turbulence simulation also focus on the numerical solution of the three-dimensional unsteady Navier-Stokes Equations.
Research and Simulation of Natural Ventilation Geometric modeling, boundary conditions and setting of the Fluent parameters Size of calculation model refers the size of prototype model, and the size of computational domain of ellipsoid is(50×300×50 m3); Boundary condition: coming flow is shear flow, and turbulence characteristics directly give the turbulent kinetic energy and turbulence dissipation rate by UDF; Outlet boundary conditions: fully developed outflow boundary conditions; Building surface and ground: wall conditions with no slip; In setting of Fluent 6.0, the solver is pressure-based, and turbulence model uses the standard model.
At different wind speeds, through the simulation analysis of the velocity field, temperature field and pressure field inside, it can be concluded that when the wind speed of the inlet is 10m/s, needs of human comfort is able to be met. 3.
Online since: October 2011
Authors: Jian Zheng, Chang Sheng Zhou, Xiong Chen
            
                Computational fluid dynamics (CFD) is an important applied research area of scientific computation visualization.
Aiming at the difficult for three-dimensional display in the post-processing of wrap-around fins’ flowfield with commercial CFD software, the visualization techniques of CFD were investigated.
But when applying in the visualization of CFD computational data, it becomes very fussy and has bad repeatability.
The important characteristic of CFD software is mighty repeatability, so this operate mode does not fit for the visualization of CFD computational data.
In the course of numerical simulation, computational results of pressure, temperature and so on status parameters were obtained from FLUENT with UDF program, and saved as *.dat file.
            
    Aiming at the difficult for three-dimensional display in the post-processing of wrap-around fins’ flowfield with commercial CFD software, the visualization techniques of CFD were investigated.
But when applying in the visualization of CFD computational data, it becomes very fussy and has bad repeatability.
The important characteristic of CFD software is mighty repeatability, so this operate mode does not fit for the visualization of CFD computational data.
In the course of numerical simulation, computational results of pressure, temperature and so on status parameters were obtained from FLUENT with UDF program, and saved as *.dat file.
Online since: March 2014
Authors: Ning Kang, Ni Ka Mo, Wei Qi Zheng
            
                Three dimensional simulation of the heat dissipation of an automotive radiator based on porous media method 
Ning Kang 1, a, Nika Mo 2,b and Weiqi Zheng 1,c 
1 School of Transportation Science and Engineering, Beihang University, Beijing 100191, China
2 Shanghai Volkswagen Automotive Company Limited, Shanghai 201805, China
akangning@buaa.edu.cn, bmonikahit@126.com, awikizane@foxmail.com
Keywords: Automotive radiator, Porous media, Heat dissipation, CFD, Least squares method, Fin structure.
Abstract. 12 kinds of automotive radiator cell models were simulated at different air inlet velocities using CFD software Fluent.
Introduction A lot of three dimensional simulation works about radiators have been carried out so far [1-3].
In this paper, numerical models of radiator cells and the whole radiator were simulated using CFD software Fluent.
Establishment of the Porous Model Simulation of the Cell Model.
            
    Abstract. 12 kinds of automotive radiator cell models were simulated at different air inlet velocities using CFD software Fluent.
Introduction A lot of three dimensional simulation works about radiators have been carried out so far [1-3].
In this paper, numerical models of radiator cells and the whole radiator were simulated using CFD software Fluent.
Establishment of the Porous Model Simulation of the Cell Model.