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Online since: January 2014
Authors: Li Bin Yang, Li Dai, Kai Liu
Computational Fluid Dynamics (CFD) simulation is expected to give detailed flow information which is important for stirred reactor design and optimization, however accurate flow prediction remains a challenge for CFD application.
As the development of computer technology, Computational Fluid Dynamics (CFD) provides a useful tool for the investigation of hydrodynamic inside the stirred reactors and can reveal a lot information which cannot be obtained merely using experimental approaches.
By defining the fluid properties arbitrarily, both Newtonian [8] and Non-newtonian fluid [9] could be studied in the CFD investigations.
However, there are also some challenges for CFD applications, one of which is accurate prediction of flow quantities such as turbulence kinetic energy distributions, etc.
As the development of computer technology, Computational Fluid Dynamics (CFD) provides a useful tool for the investigation of hydrodynamic inside the stirred reactors and can reveal a lot information which cannot be obtained merely using experimental approaches.
By defining the fluid properties arbitrarily, both Newtonian [8] and Non-newtonian fluid [9] could be studied in the CFD investigations.
However, there are also some challenges for CFD applications, one of which is accurate prediction of flow quantities such as turbulence kinetic energy distributions, etc.
Online since: December 2013
Authors: Yakup Parida, Wen Rong He, Zhong Hua Zhou, Deng Feng Fu
Department of Environmental Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
Key words: CFD; street canyon; particle dispersion; numerical simulation
Abstract.
A two-dimensional computational fluid dynamics (CFD) model for evaluating the airflow and particles dispersion within a street canyon was built up, which was based on the incompressible Reynolds Averaged Navier-Stokes equations, turbulence model and the particles transportation equation.
The square grids (each mesh cell is 0.5m x 0.5m) are used in the simulation.
Numerical simulation result for case1 (a) Air velocity distribution (b) Particle concentration distribution Fig.5.
Numerical simulation result for case7 From Fig.4(a) it can be seen that two vortices are generated.
A two-dimensional computational fluid dynamics (CFD) model for evaluating the airflow and particles dispersion within a street canyon was built up, which was based on the incompressible Reynolds Averaged Navier-Stokes equations, turbulence model and the particles transportation equation.
The square grids (each mesh cell is 0.5m x 0.5m) are used in the simulation.
Numerical simulation result for case1 (a) Air velocity distribution (b) Particle concentration distribution Fig.5.
Numerical simulation result for case7 From Fig.4(a) it can be seen that two vortices are generated.
Online since: March 2021
Authors: Isabel Malico, Sérgio Cavaleiro Costa, Rui Pedro Monteiro Lima, Luís Rato
This paper presents the validation of a CFD model of a direct-flame impingement furnace for billet heating in a full-scale industrial situation, which was not previously published, and opens the way for more simulations and detailed studies of the phenomena that occur inside this type of furnace.
On the other hand, CFD models involve the solution of the partial differential equations that govern the reactive flow inside the furnace.
In the present simulation the average y+ was 3.3.
Note that in this simulation, only part of the industrial furnace was simulated.
Malikov et al. [2] report direct impingement furnace efficiencies of 70-80%, which are within the values obtained both in the energy audit and in the CFD simulations.
On the other hand, CFD models involve the solution of the partial differential equations that govern the reactive flow inside the furnace.
In the present simulation the average y+ was 3.3.
Note that in this simulation, only part of the industrial furnace was simulated.
Malikov et al. [2] report direct impingement furnace efficiencies of 70-80%, which are within the values obtained both in the energy audit and in the CFD simulations.
Online since: October 2012
Authors: Jin Fa Guan, Wei Xing Hua, Song Sheng Deng
The simulation results show that there are two low pressure regions and two regions of high volume fraction of steam in angle nozzle.
Numerical simulation is a new method of research on flow field, which develop with the improvement of computer technology[8].
Take a kind of typical cavitating nozzle, namely angle nozzle as research object, the flow field inside nozzle were simulated on the basis of advanced CFD software¾¾fluent.
The mixture model, RNG model and cavitation model were used in simulation.
Governing Equations of Cavitation Model In CFD software fluent 6.3 used in this paper, the cavitation model is Singhal complete cavitation model.
Numerical simulation is a new method of research on flow field, which develop with the improvement of computer technology[8].
Take a kind of typical cavitating nozzle, namely angle nozzle as research object, the flow field inside nozzle were simulated on the basis of advanced CFD software¾¾fluent.
The mixture model, RNG model and cavitation model were used in simulation.
Governing Equations of Cavitation Model In CFD software fluent 6.3 used in this paper, the cavitation model is Singhal complete cavitation model.
Online since: August 2016
Authors: Ying Ming Su, Hui Ting Chang
Taeyeon Kim et al. (2009) assessed pedestrian wind comfort based on a wind tunnel experiment and CFD simulation analysis. [7]; Jian Hang et al. (2013) proved that semi-open street roof is better able to offer pedestrian space compared to no-covered and fully-covered roofs based on CFD simulation analysis on five semi-open roof with different covering sizes.
Up until now, there’s no study in arcade based on a combination of field measurement and CFD simulation analysis.
CFD Numerical Simulation Analysis.
Fig. 5 show the comparing results of both field measurement and CFD numerical simulation, which present similar trends, the reliability of CFD numerical simulation method can be proved.
Fig. 5 (a) Wind velocity results compare of field measurement and CFD simulation (b) Wind velocity by CFD Table 4 CFD Numerical simulation Analysis of three cases.
Up until now, there’s no study in arcade based on a combination of field measurement and CFD simulation analysis.
CFD Numerical Simulation Analysis.
Fig. 5 show the comparing results of both field measurement and CFD numerical simulation, which present similar trends, the reliability of CFD numerical simulation method can be proved.
Fig. 5 (a) Wind velocity results compare of field measurement and CFD simulation (b) Wind velocity by CFD Table 4 CFD Numerical simulation Analysis of three cases.
Online since: September 2013
Authors: Xing Jun Hu, Yun Yun Zhu
Low-wind-drag numerical research on fenders and wheels of car model
Xingjun Hu 1, a, Yunyun Zhu 1,b
1State Key Lab of Automobile Simulation and Control, Jilin University, Changchun 130022,China
ahxj@jlu.edu.cn, baazhuyunyun@163.com
Keywords: low-wind-drag, Automotive Aerodynamics, fenders and wheels, CFD
Abstract.
The aerodynamic characteristics and the flow field structure of the passenger car model were obtained with CFD, then the affect of the fenders and the wheels to the aerodynamic resistance were analyzed.
Therefore, reducing the aerodynamic drag of vehicle when driving plays a significant role in energy saving, emission reducing and environment protecting[2].With the development of computer technology and CFD, increasing numerical simulations of external flow of vehicles have been applied to automotive low-wind resistance , the concept of which has been put forward widely.
Numerical Simulation CAD model.
The widely proven SST k-omega model was used in this paper to solve the simulation processes in combination with the automatic near-wall treatment developed for the k-omega based model.
The aerodynamic characteristics and the flow field structure of the passenger car model were obtained with CFD, then the affect of the fenders and the wheels to the aerodynamic resistance were analyzed.
Therefore, reducing the aerodynamic drag of vehicle when driving plays a significant role in energy saving, emission reducing and environment protecting[2].With the development of computer technology and CFD, increasing numerical simulations of external flow of vehicles have been applied to automotive low-wind resistance , the concept of which has been put forward widely.
Numerical Simulation CAD model.
The widely proven SST k-omega model was used in this paper to solve the simulation processes in combination with the automatic near-wall treatment developed for the k-omega based model.
Online since: January 2015
Authors: Xu Liu, Yun Fei Zhao, Wei Liu
Conventional dynamic derivative calculation method is through CFD simulation of micro aircraft forced harmonic vibration amplitude.
Calculated using frequency-domain dynamic derivative characteristics: (1) Calculated using the frequency-domain dynamic systems greatly reduce the computational overhead often cyclical unsteady CFD simulations.
Derivative of the unsteady horizon include forced harmonic vibration simulation method and free vibration simulation method.
Although compared with frequency domain method, time domain simulation is more accurate, but the large amount of calculation, the unsteady computational efficiency become the bottleneck of CFD application in dynamic derivative.
In the time domain simulation of the unsteady calculation efficiency problem, derivative efficient computing method of the further development of research, large-scale parallel CFD technology research and accelerating convergence technology research are needed.
Calculated using frequency-domain dynamic derivative characteristics: (1) Calculated using the frequency-domain dynamic systems greatly reduce the computational overhead often cyclical unsteady CFD simulations.
Derivative of the unsteady horizon include forced harmonic vibration simulation method and free vibration simulation method.
Although compared with frequency domain method, time domain simulation is more accurate, but the large amount of calculation, the unsteady computational efficiency become the bottleneck of CFD application in dynamic derivative.
In the time domain simulation of the unsteady calculation efficiency problem, derivative efficient computing method of the further development of research, large-scale parallel CFD technology research and accelerating convergence technology research are needed.
Online since: August 2013
Authors: Hua Zhi Li, Han Guo Cui, Qian Chao Liang
The structure parameters of the guide-vane will be optimized from the simulation results.
Fig.1 Configuration of flowmeter Fig.2 Specimen of guide-vane Fig.3 1/6 simulation model Simulation model As to the flow of high Reynolds number, the flow is partitioned into two parts[9].
The simulation medium is water at 20°C.
Simulation and analysis Performances of Different Front Oriented-Body.
During the simulation of CFD, the steady-vane is not supposed as the thin plane.
Fig.1 Configuration of flowmeter Fig.2 Specimen of guide-vane Fig.3 1/6 simulation model Simulation model As to the flow of high Reynolds number, the flow is partitioned into two parts[9].
The simulation medium is water at 20°C.
Simulation and analysis Performances of Different Front Oriented-Body.
During the simulation of CFD, the steady-vane is not supposed as the thin plane.
Online since: November 2016
Authors: Philipp Epple, Michael Steppert, Michael Steber
AA*2=1M22κ+11+κ-12M2κ+1κ-1 (1)
Because the area-Mach number relation is valid only for (ideal) isentropic flow, 2D and 3D simulations with the commercial CFD solver Star CCM+ from CDAdapco were performed in order to include the viscous effects from the nozzle walls.
In Fig. 2, the Mach number distribution along the x-Axis for the 1D area-Mach number relation and the 2D and 3D CFD simulations are plotted, where the throat is at x=0.
Near the throat -0.1CFD simulations.
To verify the isentropic mass flow rate equation, CFD simulations with two different settling chamber pressures were performed.
In Fig. 4 and Fig. 5 the CFD solution for the different settling chamber pressures are shown.
In Fig. 2, the Mach number distribution along the x-Axis for the 1D area-Mach number relation and the 2D and 3D CFD simulations are plotted, where the throat is at x=0.
Near the throat -0.1
To verify the isentropic mass flow rate equation, CFD simulations with two different settling chamber pressures were performed.
In Fig. 4 and Fig. 5 the CFD solution for the different settling chamber pressures are shown.
Online since: October 2010
Authors: Liang Feng Zhang, Duo Chen, Ming Wei Liu
RESEARCH OF FINITE ELEMENT SIMULATION FOR DIESEL INTAKE
PORT
ZHANG LIANG-FENG
a, CHEN DUO b and LIU MING-WEIc
Hunan Institute of Engineering, China
a
lfzhang@hnie.edu.cn, bduochen@hnie.edu.cn, clmw662000@126.com
Keywords: Diesel engine; Intake port; Finite element; Numerical simulation
Abstract.
Because of the characteristics of 3D turbulent transport properties of flow field in intake port, we must choose a proper turbulent model for numerical simulation.
Finally, we use interface between software to import 2D model (Fig .1) into ANSYS software for CFD analysis.
[3] Zhang Liang-feng, Modeling and CFD analysis of air intake for SL1126 diesel engine spiral [D].Hunan University, 2005, 01
[5] Connor J.F., McKinley N.R.CFD Simulation of in-take Port F10w Using Automatic Mesh Generation: Comparison with Laser Sheet Swirl and LDA Mea-surmounts for Steady Flow Conditions [C] SAE Paper 980l 29.
Because of the characteristics of 3D turbulent transport properties of flow field in intake port, we must choose a proper turbulent model for numerical simulation.
Finally, we use interface between software to import 2D model (Fig .1) into ANSYS software for CFD analysis.
[3] Zhang Liang-feng, Modeling and CFD analysis of air intake for SL1126 diesel engine spiral [D].Hunan University, 2005, 01
[5] Connor J.F., McKinley N.R.CFD Simulation of in-take Port F10w Using Automatic Mesh Generation: Comparison with Laser Sheet Swirl and LDA Mea-surmounts for Steady Flow Conditions [C] SAE Paper 980l 29.