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Online since: December 2013
Authors: Rong Hui Chen, Yang Yang Li, Ze Bei Wang, Bao Qing Wang, Shu Yao
To get information on velocity and pressure distribution for different outlet angle, Computational Fluid Dynamic (CFD) simulation can be used.
The design optimization was performed with the computational fluid dynamics (CFD) code FLUENT [5].
The objective of the simulation is to minimizing disturbance to the aircraft which carries the system.
CFD simulation of the different diffuser outlet angle provides useful insight in understanding of the velocity and pressure distribution.
ANSYS ICEM CFD grid division technology and its examples.
The design optimization was performed with the computational fluid dynamics (CFD) code FLUENT [5].
The objective of the simulation is to minimizing disturbance to the aircraft which carries the system.
CFD simulation of the different diffuser outlet angle provides useful insight in understanding of the velocity and pressure distribution.
ANSYS ICEM CFD grid division technology and its examples.
Online since: January 2013
Authors: Wei Keng Lin, Jong Rong Wang, Jui En Chang, Yung Shin Tseng
In this study, we had developed a program on the purpose of processes improvement for CFD simulation about spent fuel dry storage system.
The PRAs of the simulation models are depend on the standard specifications, similarity, the accuracy of the CFD simulations are depend on the efficiency of the spent fuel dry storage system (DSS) [3][4].
Therefore, such kind of the geometric change should be properly included in the analysis of the CFD simulation for the DSS program.
Description of the actual work For the traditional processes of the CFD simulation, all the thermal properties of the material and its mathematic model are need to hand-calculate each time, in order to simplify the simulation steps, one need to use an auto calculation instead of the hand calculation.
[4] “Numerical Simulation of Thermal Characteristics of VSC-17 Spent Fuel Dry Storage Part I –CFD Modeling”, Yung-Shin Tseng1, F.
The PRAs of the simulation models are depend on the standard specifications, similarity, the accuracy of the CFD simulations are depend on the efficiency of the spent fuel dry storage system (DSS) [3][4].
Therefore, such kind of the geometric change should be properly included in the analysis of the CFD simulation for the DSS program.
Description of the actual work For the traditional processes of the CFD simulation, all the thermal properties of the material and its mathematic model are need to hand-calculate each time, in order to simplify the simulation steps, one need to use an auto calculation instead of the hand calculation.
[4] “Numerical Simulation of Thermal Characteristics of VSC-17 Spent Fuel Dry Storage Part I –CFD Modeling”, Yung-Shin Tseng1, F.
Online since: February 2013
Authors: Bo Yang, Xing Jun Hu, Li Na Huang, De Jiu Wu
As for the CFD simulation, the wind tunnel shape computational domain and four settings of the near wall computational mesh were made.
And numerical simulations of this scaled model exterior flow field were carried out using a commercial CFD code, ANSYS Fluent.
Comparisons between the wind tunnel data and the CFD results would be conducive to more accurate simulations for automobile’s turbulent boundary layer and aerodynamic noise.
Near wall streamlines of Mesh 4 CFD results Summary A pressure measurement and CFD simulation comparison investigation was carried out to analyze the CFD simulation accuracy of the near wall local flow field around a 50% scaled sedan model.
On-going unsteady CFD simulation results need be analyzed and compared with more wind tunnel experimental data in order to carry out aerodynamic noise prediction.
And numerical simulations of this scaled model exterior flow field were carried out using a commercial CFD code, ANSYS Fluent.
Comparisons between the wind tunnel data and the CFD results would be conducive to more accurate simulations for automobile’s turbulent boundary layer and aerodynamic noise.
Near wall streamlines of Mesh 4 CFD results Summary A pressure measurement and CFD simulation comparison investigation was carried out to analyze the CFD simulation accuracy of the near wall local flow field around a 50% scaled sedan model.
On-going unsteady CFD simulation results need be analyzed and compared with more wind tunnel experimental data in order to carry out aerodynamic noise prediction.
Modelling of Inertia Friction Welding Using Finite Element Analysis and Computational Fluid Dynamics
Online since: May 2014
Authors: Christopher J. Bennett, Ossama Muhammad, Hervé P. Morvan
Fig. 4 shows an overview of the model for the FEA IFW simulation.
Coupling of FEA and CFD.
CFD interface model.
Results and Discussion Discussed here are the results from a complete Finite Element Analysis (FEA) simulation of the Inertia Friction Welding (IFW) process and two Computational Fluids Dynamics (CFD) simulations that show possible material flow at the interface between the workpieces.
Results of IFW simulation in DEFORM-2D.
Coupling of FEA and CFD.
CFD interface model.
Results and Discussion Discussed here are the results from a complete Finite Element Analysis (FEA) simulation of the Inertia Friction Welding (IFW) process and two Computational Fluids Dynamics (CFD) simulations that show possible material flow at the interface between the workpieces.
Results of IFW simulation in DEFORM-2D.
Online since: September 2013
Authors: Si Wei Lai, Xiao Pan Xu, Wei Jun Chu, Yun He Chen, Jian Zhao Zhou, Zi Cheng Zhu
Analysis and Simulation of the Fluid Field in Thermal Water-Jet Nozzle based on ANSYS FLUENT & ICEM CFD
Jianzhao Zhou1, a, Xiaopan Xu1, b, Weijun Chu1, c, Zicheng Zhu2, d,
Yunhe Chen1, e and Siwei Lai1, d
1PLA Univ. of Sci. & Tech., Nanjing, Jiangsu, 210007, China,
2Xinjiang Agricultural Univ., Urumqi, Xinjiang, 830052, China
azhou-jianzhao@163.com, balexander-001@163.com, cchuwj@163.com, dzzc881225@163.com, e1092009281@qq.com, fonefrog5@gmail.com,
Keywords: Thermal water jet, jet fluid, CFD, FLUENT, isokinetic core zone.
Through repeated indoor experiments, the simulation results are demonstrated.
Computational Fluid Dynamics (CFD) is based on the discrete numerical methods.
With computer technology and CFD researches continue to develop, the application software is also developed, among which FLUENT is relatively mature, becoming the most widely used CFD software.
In the simulation, the conical angles of these two-kind nozzles are identical.
Through repeated indoor experiments, the simulation results are demonstrated.
Computational Fluid Dynamics (CFD) is based on the discrete numerical methods.
With computer technology and CFD researches continue to develop, the application software is also developed, among which FLUENT is relatively mature, becoming the most widely used CFD software.
In the simulation, the conical angles of these two-kind nozzles are identical.
Online since: March 2012
Authors: Feng Tian, Yan Jun Zhang, Jian Yang, Qiu Ming Sun, Peng Li, Xiao Jun Sun, Ming Xi Hu
Structure Optimization Design and Airflow Numerical Simulation for Negative Pressure Isolated Cabin
Yanjun Zhang 1a, Feng Tian *1b, Jian Yang1c, Qiuming Sun1d, Mingxi Hu1e , XiaoJun Sun1f, Peng Li1g
1Institute of Medical Equipment ,Academy of Military Medical Science, Tianjin China
aAmms7@126.com bTianfeng62037@yahoo.com.cn cJianyang03@Gmail.com
dSQM_sunnybird@163.com eHumax@126.com f13512062502@126.com g 86584727@126.com
Keywords: Negative Pressure isolated cabin, CFD, Airflow, Numerical Simulation
Abstract: Structure optimization design of negative-pressure isolated cabin and numerical simulation for airflow are preformed by using CFD method，and trace of expiration contamination by patient are studied.
This paper carried out structure optimization design of negative-pressure isolated cabin to gain inlet size of the cabin, and preformed numerical simulation of airflow and trace of expiration contamination by patient by CFD method.
Fig1 3D model of the cabin Fig2 CFD model Fig3 Main dimensions indicate Calculate model equations Air indoor flow is in turbulent process, selecting standard k-ε turbulence as model calculation.
Conclusion (1) This paper performed the structure optimization design and determined the inlet size of the negative pressure cabin based on CFD method.
[3] Xin Feng, Zhonglin Xu:Analyses of Numerical Simulation and the Effect on Air Distribution of Negative Pressure Isolation Rooms, Buiding Science,22(2006)35-45
This paper carried out structure optimization design of negative-pressure isolated cabin to gain inlet size of the cabin, and preformed numerical simulation of airflow and trace of expiration contamination by patient by CFD method.
Fig1 3D model of the cabin Fig2 CFD model Fig3 Main dimensions indicate Calculate model equations Air indoor flow is in turbulent process, selecting standard k-ε turbulence as model calculation.
Conclusion (1) This paper performed the structure optimization design and determined the inlet size of the negative pressure cabin based on CFD method.
[3] Xin Feng, Zhonglin Xu:Analyses of Numerical Simulation and the Effect on Air Distribution of Negative Pressure Isolation Rooms, Buiding Science,22(2006)35-45
Online since: January 2012
Authors: Xiao Qin Sun, Ying Jun Liu, Hong Xing Yang, Quan Zhang, Lin Feng Zhang, Shu Guang Liao
Ltd, Changsha, China, 410007
ahnsunxiaoqin@163.com, bbehxyang@polyu.edu.hk, clsg@maxxom.com.cn
Keywords: PCM;energy storage; MATLAB; energy storage module；CFD simulation;
Abstract.
Numerical simulation about this module is carried out by CFD software.
A simulation was carried out about this module by using the CFD software and the results from simulation were compared and analyzed with the results from numerical calculation.
The result of solidification three hours later Comparisons of the results between the numerical calculation and CFD simulation are shown in Figure12.
The results comparison between numerical calculation and CFD simulation As shown in Figure 12, in the first 10 minutes the phase interface changes quickly when the position of the phase interface is mainly decided by the difference between the boundary and phase-changing temperatures.
Numerical simulation about this module is carried out by CFD software.
A simulation was carried out about this module by using the CFD software and the results from simulation were compared and analyzed with the results from numerical calculation.
The result of solidification three hours later Comparisons of the results between the numerical calculation and CFD simulation are shown in Figure12.
The results comparison between numerical calculation and CFD simulation As shown in Figure 12, in the first 10 minutes the phase interface changes quickly when the position of the phase interface is mainly decided by the difference between the boundary and phase-changing temperatures.
Online since: May 2012
Authors: Ying Fang, De Xiang Li, Wei Cao
The numerical simulation in the classification has been used in ANSYS CFX 10.0.
Conditions for Numerical simulation [1-3] We build a model using Pro/E, and import the model into the ICEM CFD for tetrahedral mesh, and encrypt for some parts as needed.
Unstructured grid technologies and ICEM-CFD meshing tools are used to mesh of the calculation model.
References [1] ICEM CFD Engineering Meshing Tutorial Manual[Z].
[2] Fu-jun Wang．Computational fluid dynamics analysis：Principles and Applications of CFD software[M]．Beijing:Tsinghua University Press，2004．In Chinese
Conditions for Numerical simulation [1-3] We build a model using Pro/E, and import the model into the ICEM CFD for tetrahedral mesh, and encrypt for some parts as needed.
Unstructured grid technologies and ICEM-CFD meshing tools are used to mesh of the calculation model.
References [1] ICEM CFD Engineering Meshing Tutorial Manual[Z].
[2] Fu-jun Wang．Computational fluid dynamics analysis：Principles and Applications of CFD software[M]．Beijing:Tsinghua University Press，2004．In Chinese
Online since: February 2013
Authors: Xing Jun Hu, Peng Guo, Yun Yun Zhu, Xin Yu Wang, Qiang Fu, Shi Jie Fan, Qin Yin Fan
CFD simulation and wind tunnel tests are performed on a kind of commercial truck, to study the influence of the cab shape and different kinds of guide cowls on aerodynamic drag, and the impact mechanism was also analyzed.
CFD Simulation Scheme In this paper a medium-duty van shown in Figure1 is regarded as the study object.
a) roof fairing b)roof fairing with guide vanes Fig.7 Two kinds of fairings The aerodynamic drag coefficient gained from CFD simulation , was shown as Table 2.
Table 3 Aerodynamic drag versus between CFD simulation and test scheme CFD simulation test relative error new cab shape 0.661 0.695 4.89% old cab shape 0.807 0.831 2.88% roof fairing 0.589 0.638 7.68% roof fairing with guide vanes 0.583 0.629 7.31% The test shows that, the aerodynamic drag coefficient of new cab was 16.3% as low as the old shape, which showed that changes on the modeling have great influence on the aerodynamic drag coefficient.
What could be found from comparison of CFD test and numerical simulation of aerodynamic drag coefficient is : 1) model wind tunnel test results was similar to simulation results in CFD, and the maximum relative error of aerodynamic drag coefficient of was less than 8%,which indicated the reliability of CFD simulation; 2) the aerodynamic drag coefficient of the new and old styling had large difference, and drag reduction effect was obvious; 3) the aerodynamic drag coefficient of roof and roof fairing with guide vanes have appeared significant difference from test and CFD, illustrating drag reduction effect of the side fairing.
CFD Simulation Scheme In this paper a medium-duty van shown in Figure1 is regarded as the study object.
a) roof fairing b)roof fairing with guide vanes Fig.7 Two kinds of fairings The aerodynamic drag coefficient gained from CFD simulation , was shown as Table 2.
Table 3 Aerodynamic drag versus between CFD simulation and test scheme CFD simulation test relative error new cab shape 0.661 0.695 4.89% old cab shape 0.807 0.831 2.88% roof fairing 0.589 0.638 7.68% roof fairing with guide vanes 0.583 0.629 7.31% The test shows that, the aerodynamic drag coefficient of new cab was 16.3% as low as the old shape, which showed that changes on the modeling have great influence on the aerodynamic drag coefficient.
What could be found from comparison of CFD test and numerical simulation of aerodynamic drag coefficient is : 1) model wind tunnel test results was similar to simulation results in CFD, and the maximum relative error of aerodynamic drag coefficient of was less than 8%,which indicated the reliability of CFD simulation; 2) the aerodynamic drag coefficient of the new and old styling had large difference, and drag reduction effect was obvious; 3) the aerodynamic drag coefficient of roof and roof fairing with guide vanes have appeared significant difference from test and CFD, illustrating drag reduction effect of the side fairing.
Online since: October 2010
Authors: José Renato Coury, José Antônio Silveira Gonçalves, M.Ramirez Valverde
The CFD simulations were made using the software Fluent 6.3.26.
A complete CFD model, taking all these phenomena into consideration, has not yet been attempted.
The cyclone inlet velocity was 10.2 m/s in all simulations.
Three of these escaped after small residence times, indicating a possible short cut between inlet and outlet, due to the low height vortex finder used in this simulation.
Fluent’s built-in boundary conditions were used in this simulation.
A complete CFD model, taking all these phenomena into consideration, has not yet been attempted.
The cyclone inlet velocity was 10.2 m/s in all simulations.
Three of these escaped after small residence times, indicating a possible short cut between inlet and outlet, due to the low height vortex finder used in this simulation.
Fluent’s built-in boundary conditions were used in this simulation.