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Online since: October 2011
Authors: Mohammad Mahdi Doustdar, Mohammad Mojtahedpoor
Numerical simulation of ramjet components in isolated mode as well as in completely integrated stage is extremely useful for cost and time-saving when the system is under design and development.
Computational fluid dynamics (CFD) tools are complementary to wind tunnel and propulsion bench tests and these allow one to analyze and optimize more rapidly and at a lower cost.
Different previous researches investigate, both experimentally and by numerical simulation, the vaporizing sprays and the droplet interaction under different operating conditions; see for example references [1-5] In the present study, the efficient mass fraction and the mean diameter of propulsive droplets have been numerically investigated by KIVA-3V code.
Al-Omari, Numerical simulation of liquid fuel sprays evolution and the subsequent vapor/air mixture formation in a duct with a 90°-bend, International Communications in Heat and Mass Transfer 36 (2008) 1397–1402
Computational fluid dynamics (CFD) tools are complementary to wind tunnel and propulsion bench tests and these allow one to analyze and optimize more rapidly and at a lower cost.
Different previous researches investigate, both experimentally and by numerical simulation, the vaporizing sprays and the droplet interaction under different operating conditions; see for example references [1-5] In the present study, the efficient mass fraction and the mean diameter of propulsive droplets have been numerically investigated by KIVA-3V code.
Al-Omari, Numerical simulation of liquid fuel sprays evolution and the subsequent vapor/air mixture formation in a duct with a 90°-bend, International Communications in Heat and Mass Transfer 36 (2008) 1397–1402
Online since: April 2014
Authors: Fu Shui Liu, Dao Jing Wang, Yi Tong Jiang
Golovitchev .CFD-Based Optimization of a Diesel-fueled Free Piston Engine Prototype for Conventional and HCCI Combustion[C].SAE 2008-01-2423
[3] Mao J, Zuo Z, Li W, et al.
Multi-dimensional scavenging analysis of a free-piston linear alternator based on numerical simulation[J].
Numerical simulation of a spark ignited two-stroke free-piston engine generator [J].
Simulation of a two-stroke free-piston engine for electrical power generation [J].
Multi-dimensional scavenging analysis of a free-piston linear alternator based on numerical simulation[J].
Numerical simulation of a spark ignited two-stroke free-piston engine generator [J].
Simulation of a two-stroke free-piston engine for electrical power generation [J].
Online since: July 2007
Authors: Javier Vilcáez, Koichi Suto, Chihiro Inoue
With regard to the flow rates of the liquid and air
phases, simulation results have shown that these flow rates govern not just the heat transfer and
variation of cell distribution, but also the leaching rate regardless of the fraction of CuFeS2 per FeS2
leached (FCP) which is the other variable influencing to the heat accumulation in the heap.
Results and conclusions Following, simulation results with regard to the relation between an intrinsic variable such as the fraction of CuFeS2 per FeS2 leached (FCP) and an operational variable such as the liquid flow (Gl) rate, are shown.
Davison, Third International Conference on CFD in the Minerals and Process Industries CSIRO, Melbourne, Australia 10-12 December 2003, p. 581
Results and conclusions Following, simulation results with regard to the relation between an intrinsic variable such as the fraction of CuFeS2 per FeS2 leached (FCP) and an operational variable such as the liquid flow (Gl) rate, are shown.
Davison, Third International Conference on CFD in the Minerals and Process Industries CSIRO, Melbourne, Australia 10-12 December 2003, p. 581
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: 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: 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: December 2012
Authors: Li Hong Li, Xiao Li Li, Luo Zhong Chen
The model is built by CAD and analyzed by CFD.
By the hypothesis of inlet irrotational flow, the blade shape of different section were drawn and then scaned to blade shape shown as Fig. 4, which was the simulation model of the impeller.
Fig. 3 The hyperbola profile in the impeller meridian plane Fig. 4 The simulatiion model of the impeller Numerical simulation flow field in impeller The hyperbola figure influence on velocity distribution.
Numerical flow simulation in a centrifugal pump at design and off-design conditions.
By the hypothesis of inlet irrotational flow, the blade shape of different section were drawn and then scaned to blade shape shown as Fig. 4, which was the simulation model of the impeller.
Fig. 3 The hyperbola profile in the impeller meridian plane Fig. 4 The simulatiion model of the impeller Numerical simulation flow field in impeller The hyperbola figure influence on velocity distribution.
Numerical flow simulation in a centrifugal pump at design and off-design conditions.
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: November 2013
Authors: Bai Chen, Ya Juan Li, Peng Wang, Sun Chen, Yue Yang Kou
Simulation and Numerical Calculation
Based on CFD software Fluent, This section simulates the resistance of body and the propulsion of propeller to get Z on the left of the Eq. (8).
The robot swims in No. 30 turbine oil in simulation whose dynamic viscosity is 0.09N·s/m2. 4.1 Simulation of body resistance After simulation, forward resistance at different speeds is shown in Fig. 4.
After simulation, Relation curve between propulsion and rotary speed is shown in Fig. 5.
Comparing with the simulation results of single propeller at the same speed, as is shown in Fig. 5, simulation is smaller than experiment values.
Simulation-based analysis of micro-robots swimming at the center and near the wall of circular mini-channels[J].
The robot swims in No. 30 turbine oil in simulation whose dynamic viscosity is 0.09N·s/m2. 4.1 Simulation of body resistance After simulation, forward resistance at different speeds is shown in Fig. 4.
After simulation, Relation curve between propulsion and rotary speed is shown in Fig. 5.
Comparing with the simulation results of single propeller at the same speed, as is shown in Fig. 5, simulation is smaller than experiment values.
Simulation-based analysis of micro-robots swimming at the center and near the wall of circular mini-channels[J].
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.