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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: December 2010
Authors: Nai Fei Ren, Ming Min Chen, Jie Jiang, Li Cheng
Therefore Reverse Engineering (RE) and numerical simulations of Computational Fluid Dynamics (CFD) are adopted to study the centrifugal pumps with splitter blades.
To solve these problems, Using RE, CFD numerical simulation and experimental method of combining to study with flow field distribution of centrifugal pump with splitting vanes.
The three-dimensional geometric model of centrifugal pump CFD simulation is the flow channel of pump.
Conclusion above indicates CFD numerical model can replace experiment and has large engineering practical value for the rapid development of such products and reduce cost to some extent.
However, CFD numerical model has some errors.
To solve these problems, Using RE, CFD numerical simulation and experimental method of combining to study with flow field distribution of centrifugal pump with splitting vanes.
The three-dimensional geometric model of centrifugal pump CFD simulation is the flow channel of pump.
Conclusion above indicates CFD numerical model can replace experiment and has large engineering practical value for the rapid development of such products and reduce cost to some extent.
However, CFD numerical model has some errors.
Online since: November 2013
Authors: Regina Mambeli Barros, Geraldo Lúcio Tiago Filho, Fernando das Graças Braga da Silva, Ivan Felipe Deice
Keywords: roughness of materials, CFD, cast iron, plastic
Abstract.
A hydraulic simulation in pipes allows us to analyze the hydraulic behavior under various conditions.
The fluid dynamic simulations were performed at the Center for Modeling and Simulation Environment and Water Resources (NUMMARH) of the Natural Resources Institute of the Federal University of Itajubá (MG) using CFD software.
Mesh generation was performed within the CFD software.
CFD Expertise improves product design and operational behavior, World Pumps, Volume 2006, Issue 483, Pages 22,24,25, 2006 [3] DORSCH G.; KEERAN K., Chopping Away at Solids, Advan-tage, Excellence in Engineering Simulation, Volume I, Issue 2, Pages 16-17. 2007.
A hydraulic simulation in pipes allows us to analyze the hydraulic behavior under various conditions.
The fluid dynamic simulations were performed at the Center for Modeling and Simulation Environment and Water Resources (NUMMARH) of the Natural Resources Institute of the Federal University of Itajubá (MG) using CFD software.
Mesh generation was performed within the CFD software.
CFD Expertise improves product design and operational behavior, World Pumps, Volume 2006, Issue 483, Pages 22,24,25, 2006 [3] DORSCH G.; KEERAN K., Chopping Away at Solids, Advan-tage, Excellence in Engineering Simulation, Volume I, Issue 2, Pages 16-17. 2007.
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: 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.
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: January 2014
Authors: Xue Feng Li, Xiu Quan Huang, Chao Liu
At present, turbo-machinery CFD technology has run to total 3-dimensionality unsteady viscidity numerical simulation, moreover, turbo-machinery CSD technology developed synchronously, The CFD and CSD technology is used to fluid-structure interaction analysis of all kinds of turbo-machinery in a wide range increasingly.
Conclusion This article discusses a numerical simulation method of fluid-structure interaction.
CFD/ CSD coupling numerical compulational methodology [ J] .
CFD/ CSD coupling calculation research [ J] .
Coupled fluid-structure simulation for turbo-machinery blade rows [ R].
Conclusion This article discusses a numerical simulation method of fluid-structure interaction.
CFD/ CSD coupling numerical compulational methodology [ J] .
CFD/ CSD coupling calculation research [ J] .
Coupled fluid-structure simulation for turbo-machinery blade rows [ R].
Online since: August 2011
Authors: Jun Wang, Cheng Yong Wang, Yue Xian Song, Wu Sheng Luo
This paper presents a model for the jet formation process, CFD simulations are carried out for the prediction of flow pattern in a nozzle with abrasive suspension slurry jets using the discrete phase model.
A computational fluid dynamic tool has been selected for the simulation of the whole machining flow field and for the simulation of the particle trajectories and their impact on the nozzle walls.
A series of CFD simulations were performed.
So the CFD model can be used instead of the experimental work to determine the nozzle efficiencyη(The nozzle efficiency is defined as the value that the total pressure at the exit divided by the total pressure at the exit) through simulations at different pressure setting for different geometries, and decreasing the need for experimentation.
[11] Benedetto Bozzini et al: Evaluation of erosion–corrosion in multiphase flow via CFD and experimental analysis.
A computational fluid dynamic tool has been selected for the simulation of the whole machining flow field and for the simulation of the particle trajectories and their impact on the nozzle walls.
A series of CFD simulations were performed.
So the CFD model can be used instead of the experimental work to determine the nozzle efficiencyη(The nozzle efficiency is defined as the value that the total pressure at the exit divided by the total pressure at the exit) through simulations at different pressure setting for different geometries, and decreasing the need for experimentation.
[11] Benedetto Bozzini et al: Evaluation of erosion–corrosion in multiphase flow via CFD and experimental analysis.
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.