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Online since: September 2011
Authors: Goldi Misra, Sandeep Agrawal, Nisha Kurkure, Shweta Das, Kapil Mathur, Sucheta Pawar
ONAMA provides tools that have a close affinity with practical simulation, thus making the learning process for students more applied.
Tools integrated in ONAMA provide turnkey solutions with the practical simulations.
· Mechanical Domain OpenFOAM: CFD software package.
Meep: A free finite-difference time-domain (FDTD) simulation software package
· CUDA Enabled Applications NAMD: Parallel molecular dynamics code designed for high-performance simulation of large bimolecular systems.
Tools integrated in ONAMA provide turnkey solutions with the practical simulations.
· Mechanical Domain OpenFOAM: CFD software package.
Meep: A free finite-difference time-domain (FDTD) simulation software package
· CUDA Enabled Applications NAMD: Parallel molecular dynamics code designed for high-performance simulation of large bimolecular systems.
Online since: September 2011
Authors: Heng Zhang, Shou Gen Chen, Liang Chen
A Study on Large Power Jet Ventilation Technology
in Long Tunnel Construction
Heng Zhang 1, a, Shougen Chen 1,b and Liang Chen 1,c
1School of Civil Engineering, Southwest Jiaotong University, Chengdu , Sichuan, 610031, China
azhangheng198517@126.com, bcsgchen2006@yahoo.com.cn, cclng9716@163.com
Keywords: Jet Fan Ventilation, Numerical Simulation, CO Concentration.
This paper investigated the simulation of tunnel construction ventilation with large power jet fans during the construction of Jinping Auxiliary Tunnels by using the computational fluid code FLUENT, the layout of jet fans in the tunnels is optimized.
CONCLUSION By applying the CFD software—Fluent to simulate the air flow under various layout of the jet fan in the cross and longitudinal sections.
Numerical simulation study on ventilation flow field of wall-attached jet in heading face[J].
This paper investigated the simulation of tunnel construction ventilation with large power jet fans during the construction of Jinping Auxiliary Tunnels by using the computational fluid code FLUENT, the layout of jet fans in the tunnels is optimized.
CONCLUSION By applying the CFD software—Fluent to simulate the air flow under various layout of the jet fan in the cross and longitudinal sections.
Numerical simulation study on ventilation flow field of wall-attached jet in heading face[J].
Online since: July 2019
Authors: José Luiz de Medeiros, Ofélia de Queiroz Fernandes Araújo, Lara de Oliveira Arinelli, Alexandre Mendonça Teixeira
Samawe et al. [7] manufactured a SS prototype for CO2 separation from NG with 70% CO2 to validate a proposed CFD model.
The experimental results led to improvements in CFD numerical modelling and successfully validated and proved the concept of CO2 separation by SS.
After simulations and technical results, the three cases are compared in terms of power consumption and CO2 emissions.
Castier, Modeling and simulation of supersonic gas separations, J.
Jin, Numerical simulation of CO2 condensation process from CH4-CO2 binary gas mixture in supersonic nozzles, Sep.
The experimental results led to improvements in CFD numerical modelling and successfully validated and proved the concept of CO2 separation by SS.
After simulations and technical results, the three cases are compared in terms of power consumption and CO2 emissions.
Castier, Modeling and simulation of supersonic gas separations, J.
Jin, Numerical simulation of CO2 condensation process from CH4-CO2 binary gas mixture in supersonic nozzles, Sep.
Online since: February 2013
Authors: Kun Hyuk Sung, Hong Sun Ryou
Numerical Analysis on the Influence of the Unsteady Effect upon the Flow Characteristics in a Human Airway
Kun Hyuk Sung1, a,Hong Sun Ryou1,b
1School of Mechanical Engineering, Chung-Ang University, 221 HeukSuk-Dong,
DongJak-Gu, Seoul 156-756, Republic of Korea
ailmare.khs@live.co.kr, bcfdmec@cau.ac.kr
Keywords:CFD, Human Airway, Unsteady effect, Turbulence Kinetic Energy, Recirculation zone, Secondary Flow Intensity
Abstract.The focus is on the unsteady effect on the flow characteristics considering the real respiration in a human airway.
Lessmann, Computer simulation of the flow field and particle deposition by diffusion in a 3D human airway bifurcation.
Wilcox, Turbulence modeling for CFD, second ed., DCW Industries Inc., Canada, 1998
Lessmann, Computer simulation of the flow field and particle deposition by diffusion in a 3D human airway bifurcation.
Wilcox, Turbulence modeling for CFD, second ed., DCW Industries Inc., Canada, 1998
Online since: May 2012
Authors: Xiao Lin Yao, Shao Ping Li, Jun Min Chen
LTD, Chengdu, Sichuan, 610031, China
a wastewater_2000@163.com b 13880804985@qq.com c tey_lsp@163.com
Keywords: Heat release rate, CRH Passenger rail car, Window glass, Ignition temperature, Fire numerical simulation.
To some extent, the fire spread speed and scale mainly depend on the HRR, which is an important parameter for the fire protection and control technology, especially such as the fire risk assessment and fire numerical simulation.
In the following, the experiment and numerical simulation methods are combined to research the influence of window glass ignition temperature on the HRR of CRH passenger rail car.
Migoya [7] showed a method to determinate the HRR using sensors that can be installed inside an operational road tunnels by comparison with CFD calculation.
Influence Analysis of Window Glass Ignition Temperature on the HRR According to the simulation results and figure 4, 5, when the window glass ignition temperature is 470℃, 525℃, 580℃, the window is not broken during the whole fire process, but from beginning to end closed to prevent the outer fresh air into the passenger rail car, so the peak HRR only can reach 18.4MW, and then begins to decline dramatically due to the oxygen deficit.
To some extent, the fire spread speed and scale mainly depend on the HRR, which is an important parameter for the fire protection and control technology, especially such as the fire risk assessment and fire numerical simulation.
In the following, the experiment and numerical simulation methods are combined to research the influence of window glass ignition temperature on the HRR of CRH passenger rail car.
Migoya [7] showed a method to determinate the HRR using sensors that can be installed inside an operational road tunnels by comparison with CFD calculation.
Influence Analysis of Window Glass Ignition Temperature on the HRR According to the simulation results and figure 4, 5, when the window glass ignition temperature is 470℃, 525℃, 580℃, the window is not broken during the whole fire process, but from beginning to end closed to prevent the outer fresh air into the passenger rail car, so the peak HRR only can reach 18.4MW, and then begins to decline dramatically due to the oxygen deficit.
Online since: December 2009
Authors: Dong Mei Jiao
According to finite
element simulation, this kind of inlet profile suits the flow field characteristic of air flow.
Hydraulic model Three-dimensional transport equation Applicable for three-dimensional model Table 2 Boundary conditions and solution type analysis in finite element simulation Working condition analysis of flow field.
Flow filed simulation in different throat flow area.
Through finite element simulation, the critical ratio when maximum opening angle is same as when opening angle is minimum, and the gas velocity also achieves supersonic speed.
Computation Fluid Dynamics Analysis: Principle and Application of CFD Software [M].Beijing: Tsinghua University Press, 2004
Hydraulic model Three-dimensional transport equation Applicable for three-dimensional model Table 2 Boundary conditions and solution type analysis in finite element simulation Working condition analysis of flow field.
Flow filed simulation in different throat flow area.
Through finite element simulation, the critical ratio when maximum opening angle is same as when opening angle is minimum, and the gas velocity also achieves supersonic speed.
Computation Fluid Dynamics Analysis: Principle and Application of CFD Software [M].Beijing: Tsinghua University Press, 2004
Online since: December 2018
Authors: A.G. Barbosa de Lima, João M.P.Q. Delgado, M.J. do Nascimento Santos, Iran Rodrigues
Finally, the numerical method (computational simulation) practically presents no restrictions, being able to solve complicated problems applied to complex geometries, and to generate results in a relatively short period of time, becoming faster and economical in relation to the other cited methods.
In RTM process, computer simulation is used to predict the resin injection behavior and thus to evaluate fill time, as well as to determine resin injection and exit points.
According to the various commercial software that can be used to study the RTM process, we can mention the PAM-RTMESI Group's, the RTM-WORX Polywork and the LIMS of the University of Delaware, which are specific applications for RTM, as well as the generic Computational Fluid Dynamics (CFD) software such as Ansys CFX and FLUENT, both from Ansys, and Abaqus / CFD (Abaqus), which are simulation tools for fluid mechanics and heat transfer problems, capable of working with complex geometries and simulating the advancement and curing of the resin inside the mold.
These works report information about experiments and simulations (1D, 2D and 3D analysis) applied to different shapes.
Table 1 – Process parameters used in the simulations.
In RTM process, computer simulation is used to predict the resin injection behavior and thus to evaluate fill time, as well as to determine resin injection and exit points.
According to the various commercial software that can be used to study the RTM process, we can mention the PAM-RTMESI Group's, the RTM-WORX Polywork and the LIMS of the University of Delaware, which are specific applications for RTM, as well as the generic Computational Fluid Dynamics (CFD) software such as Ansys CFX and FLUENT, both from Ansys, and Abaqus / CFD (Abaqus), which are simulation tools for fluid mechanics and heat transfer problems, capable of working with complex geometries and simulating the advancement and curing of the resin inside the mold.
These works report information about experiments and simulations (1D, 2D and 3D analysis) applied to different shapes.
Table 1 – Process parameters used in the simulations.
Online since: September 2014
Authors: Shan Chang, Hui Jun Xu
The simulation was validated by the experiment data in literature.
Fig. 4 is the error of the simulation result in Fig. 3.
Fig. 6 is the error of the simulation result in Fig. 5.
And the error is within ±15% between simulation and experiment.
CFD simulation of convective flow boiling of refrigerant in a vertical annulus.
Fig. 4 is the error of the simulation result in Fig. 3.
Fig. 6 is the error of the simulation result in Fig. 5.
And the error is within ±15% between simulation and experiment.
CFD simulation of convective flow boiling of refrigerant in a vertical annulus.
Online since: January 2015
Authors: Xiao Yang Li, Bai Li
So it is important to consider the transmission load of the outlet in the numerical simulations of the hemodynamic.
(1) Numerical Simulation Parameters As mentioned before, we simulated two cases.
Simulation parameter The time step of our cases was 0.02s.
Conclusion In conclusion, this paper reported the use of the simulation model with the transmission load.
L, Hemodynamic analysis of patient-specific carotid bifurcation: A CFD model of downstream peripheral vascular impedance, INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN BIOMEDICAL ENGINEERING, (2012), 10.1002/cnm.2529 [7] Molony, D.S.
(1) Numerical Simulation Parameters As mentioned before, we simulated two cases.
Simulation parameter The time step of our cases was 0.02s.
Conclusion In conclusion, this paper reported the use of the simulation model with the transmission load.
L, Hemodynamic analysis of patient-specific carotid bifurcation: A CFD model of downstream peripheral vascular impedance, INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN BIOMEDICAL ENGINEERING, (2012), 10.1002/cnm.2529 [7] Molony, D.S.
Online since: April 2013
Authors: Konrad Adamus, Piotr Lacki
Thermo-mechanical (TMC) simulation of the electron beam welding process using FEM is presented in the paper.
More detailed experiments and numerical simulations are required.
An interaction between keyhole and welding pool during laser welding using numerical simulations was analysed.
The numerical model was developed based on the Fluent system which is a computational fluid dynamics (CFD) software.
The process parameters were the same both in the experiment and in the numerical simulation.
More detailed experiments and numerical simulations are required.
An interaction between keyhole and welding pool during laser welding using numerical simulations was analysed.
The numerical model was developed based on the Fluent system which is a computational fluid dynamics (CFD) software.
The process parameters were the same both in the experiment and in the numerical simulation.