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Online since: June 2014
Authors: Wei Zang, Xin Cheng Li, Yi Chen, Yu Ting Luo
In order to ensure the consistency of simulation and actual condition, simulation of full flow field should be conducted for those impellers.
Results Analysis The pressure and relative velocity distributions inside the impellers are obtained in the CFD-POST of ANSYS.
Three-Dimensional Numerical Simulation of Internal Flow Within the Impeller of Roto-Jet Pump.
Numerical Simulation and Optimization Analysis for Roto-Jet Pump Based on CFD [D].
Analysis of energy losses and numerical simulation of flow field in the roto-jet pump.
Online since: July 2015
Authors: Norasikin Mat Isa, Azmahani Sadikin
Numerical Study of Flow Separation and Pressure Drop for Flow past Staggered Tube Bundles Azmahani Sadikin1,a and Norasikin Mat Isa1,b 1Centre for Energy and Industrial Environement Studies (CEIES), Faculty of Mechanical Engineering and Manufacturing, Universiti Tun Hussein Onn Malaysia, 86400 Parit Raja, Malaysia aazmah@uthm.edu.my, bsikin@uthm.edu.my Keywords: Flow separation, pressure drop, heat exchanger, staggered bundle, CFD Abstract.
The simulations were undertaken to inform on how the fluid flowed within the tube passages.
So, in the simulations, only a symmetrical half of a flow passage between the tubes is used.
The simulation was run until the residual of the pressure and velocities were less than 0.00001.
These values are chosen to best fit to the data, supported by the single-phase CFD simulations presented in this paper.
Online since: October 2014
Authors: Jiang Hao Wu, Xue Mei Li
Fig.1.The sketch of geometric model The compressible Reynolds-averaged Navier Stokes with one equation S-A turbulence model is solved by Computational Fluid Dynamics (CFD) method.
The comparison of CFD result and the experimental data at Ma=0.73, Re=6.5e+6 and α=3deg. is shown in Fig. 3.
It is found there is a good agreement between CFD simulation and experiments.
Online since: March 2011
Authors: Feng Wang, Xin Jing Zhou, Guo Qiang Wang, Jing Zhou
Micro-thermoelectric-generator design and analysis based on catalytic combustion of hydrogen Feng Wang 1, a, Guoqiang Wang 2, b, Jing Zhou 2, c, and Xinjing Zhou 2, d 1Key Laboratory of Low-grade Energy Utilization Technologies and Systems (Chongqing University), Ministry of Education, Chongqing, 400030, PR China 2College of Power Engineering, Chongqing University, Chongqing, 400030, PR China a wangfeng@cqu.edu.cn, b 513715507@qq.com, c 646108160@qq.com, d 497314155@qq.com Keywords: thermoelectric; catalyst combustion; hydrogen; simulation Abstract.
With the application of general finite reaction rate model in CFD software of FLUENT, the effect of inlet parameters on the highest temperature difference between the hot and cold plate of the generator was studied.
Physical, mathematical and kinetic model The physical model used by simulation is shown in Fig.1.
Results and discussion A In simulation, through variation of the inlet parameters such as reactants inlet velocity of Vin and inlet temperature of Tin, the maximum temperature difference between the cold and hot sides of the thermoelectric generator ΔT was studied.
Numerical simulation of characters of catalyzed combustion of hydrogen-oxygen mixture in micro-scaled chambers [J].
Online since: August 2013
Authors: Hao Ling, Jin Li, Yong Tian Zhu, Jian Hua Li
They can be generally classified as computational fluid dynamics (CFD) model and probability model (such as Gaussian, BM, FEM3 and etc.).
CFD models [1] are usually associated with complex parameter systems and large amount of computation, which does not apply to real-time application.
To verify the improved model, we take two groups of simulation in different aspects: final state simulation with different primary parameters, and diffusion process simulation in different time points.
Final State Simulation with Different Primary Parameters.
Diffusion Process Simulation in Different Time Points.
Online since: February 2012
Authors: Ying Xiao Yu, Zhao Cheng Yuan, Qing Zhu, Wen Cui Guo
Numerical Simulation of Gas Exchange Process in Two Stroke Reverse-loop Scavenging Engines Qing Zhu1,b, Zhaocheng Yuan1,a, Wencui Guo1,c,and Yingxiao Yu1,2,d 1State Key Laboratory of Automotive Simulation and Control of Jilin University, Changchun, China 2Department of Aviation Life-saving, Aviation University of Air Force, Changchun, China ayuanzc0528@126.com,bqingzhu630@126.com,c364590985@qq.com, dloopa@126.com Keywords:Two Stroke Diesel Engine, Reverse-Loop Scavenging, Gas Exchange Process, Numerical Simulation Abstract.
In this model, the piston rings had been left out for making the model simple and no much influence on simulation.
Conclusions (1) Air-exchange problems of two stroke engine is described simply by simulation analysis.
This 3D CFD simulation of two stroke Reverse-Loop scavenging engine in domestic is infrequent
References [1]Jakob.Fredriksson,Ingemar.Denbratt, “Simulation of a Two-Stroke Free Piston Engine”,SAE paper 2004 -01-1871
Online since: September 2014
Authors: Min Ji, Jing Feng He, Wei Ming Zhang
So closing the Pareto front solutions for cross breeding probability increases, the convergence of computer process is accelerated, the simulation time is reduced.
Two parent individuals produce two son individuals, parent individuals are deleted at the same time; (6) The restructuring: All individuals set a new Pt; (7) The update: The At-1 combines with Pt, selection mechanism according to the environment, one of the N entities are chosen from 2 N individuals; (8) The termination: if the termination conditions are met, the simulation program is terminated, otherwise step (2) is returned.
On the basis of unmanned aircraft wing and tail are imported into the CFD software, the aerodynamic parameters of unmanned aerial vehicle are get.
CAD Modeling NCGD Optimization algorithm Longitudinal performance analysis Dynamic model Aerodynamic derivatives Aerodynamic parameters CFD calculate Quality characteristics Output Constraint Yes No Fig 1 The flow chart of calculation 4.
Aircraft Control and Simulation, A Wiley--Interscience Publication JOHN WILEY and SONSS,INC,2010
Online since: October 2013
Authors: Zhan Feng Qi, Li Juan Jia, Yu Feng Qin, Xiu Jun Sun, Xuan Ming Zhang
And then the finished file exported by GAMBIT is to be imported into the software FLUENT to perform simulation.
Besides it is essential for CFD analysis to create a fluid volume around the model and it is better to make sure that the fluid volume five times size of the model itself to obtain reliable simlation data.
Now it is well prepared for simulation calculation in FLUENT software.
Solution flowchart of FLUENT simulation On the basis of simulation data, lift curve, drag curve and lift/drag ratio curve are displayed below.
In this section, thus its simulation results are more representative and more practically significant.
Online since: January 2014
Authors: Yu Zhang, Lei Wang, Hui Fang Liu
Reynolds averaged NS equation is the average variable flow control equation, and its associated simulation theory is called turbulence model theory.
Outlet boundary condition is setting to pressure outlet, relative pressure is setting to zero, body boundary is setting to no-slip wall, wall boundary is setting to free-slip wall. 4 The Simulation of low-speed wind tunnel tests by CFD simulation The Simulation of low speed wind tunnel tests used to measure the position force [5-6], designed to test conditions as shown in Table 1.
Fig.4 Simulation of spatial testing curves 5 Simulation of jib tank tests by CFD simulation Simulation of jib tank tests used to measure rotational force and the coupling force, the design of testing conditions as shown in Table 2.
Underwater glider research and real-time simulation platform.
Journal of System Simulation,2008,20(22):75-78
Online since: December 2018
Authors: Severino Rodrigues de Farias Neto, A.G. Barbosa de Lima, J. Saraiva de Souza, S. José dos Santos Filho, H. Luma Fernandes Magalhães
Mesh generation is required for the numerical simulations.
Allahdini, CFD modeling of porous membranes, Desalin. 222(1-3) (2008) 482–488
Tam, Turbulent transport in membrane modules by CFD simulation in two dimensions, J.
Abbasi, CFD modeling of permeate flux in cross-flow microfiltration membrane, J.
Hashib, CFD simulation of turbulence promoters in a tubular membrane channel, Desalin. 276(1-3) (2011) 191–198
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