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Contrast four different kinds of valve structure by CFD and get the valve structure of minimum flow resistance.
This paper aims to minimize axial flow check valve’s flow resistance, using CFD simulation to achieve optimization of nozzle, valve disc structure, to obtain a kind of structure which has smaller flow resistance. 2.
Numerical simulation method 4.1Model simulation Three dimensional model as shown in figure 3.
As is shown in table 1, using CFD numerical simulation method on the original disc flow resistance characteristics are analyzed, and compared with the experimental data, the relative error is less than 5%. 4.2 Structure optimization （1）Optimization of Entrance contraction part ：Change circular arc to elliptic arc type.
Hydrodynamic Characterization of a Nozzle Check Valve by Numerical Simulation[J].

Simulation Savonius Wind Turbine with Multi-Deflector Budi Sugiharto1,2,a, Sudjito Soeparman2,b, Denny Widhiyanuriyawan2,c and Slamet Wahyudi2,d 1) Mechanical Engineering, Faculty of Science and Technology, Sanata Dharma University, Yogyakarta 2) Mechanical Engineering, Faculty of Engineering, Brawijaya University, Malang a sugihartobudi@yahoo.co.id, b sudjitospn@yahoo.com c denny_malang2000@yahoo.com, d slamet_w72@yahoo.co.id Keywords: multi-deflector, CFD, static torque, Coand-like flow, dragging flow, overlap flow Abstract.
CFD analysis with ANSYS software.
Methodology Simulation using ANSYS software with geometry surface-plane, and the dimensions; in a blade radius (r) 103 mm, blade thickness (t) 5 mm, overlap (o) 31 mm or overlap ratio (o/2r) 0.15, windmill diameter (D) 391 mm.
CFD Analysis of a Two-bucket Savonius Rotor for Various Overlap Conditions.

Comparison of Turbulence Models in the Simulation of Fluid Flow in Corrugated Channel Aimen Tanougast1,a*, Krisztián Hriczó1,b 1Institute of Mathematics, Faculty of Mechanical Engineering and Informatics, University of Miskolc, Miskolc-Egyetemvaros, Miskolc, H--3515, Hungary atanougast.aimen@uni-miskolc.hu, bkrisztian.hriczo@uni-miskolc.hu Keywords: Turbulence, corrugated channel, vortex generators, k-ε, k-ω, Reynolds Stress Model (RSM), CFD.
Vortex generators are known to enhance heat transfer by promoting flow separation and modifying the flow direction, making their effect critical in such simulations.
Turbulence models provide the necessary approximations for Reynold’s stress, enabling the accurate simulation of turbulent flows [1].
· Two-dimensional simulation (∂∂x3=0 and u3=0)
CFD Letters, 11(10), 69-80

Meanwhile, the finite model of the valveless micropump is built by using the ANSYS/FLOTRAN CFD finite element software, and coupled-field simulation analysis is carried out.
Finite Element Simulation It is an effective way to design micropump with the finite element simulation.
We have used ANSYS/FLOTRAN CFD software for the simulation of the fluid in micropump, including two-dimensional and three-dimensional simulation.
A fluid element, FLUID142, is used in three-dimensional simulation, while FLUID 141 in two-dimensional simulation.
Fig.9 The pressure contour of micro pump Fig.10 The pressure distribution of diffusion/shrinkage tube Conclusion Based on the flow property of diffusion and shrinkage elements, the theory analysis is developed for a valveless micropump, and the finite model of the valveless micropump is built by using the ANSYS/FLOTRAN CFD finite element software, and coupled-field simulation analysis is carried out.

The numerical simulations of the ORC turbine were carried out by using the CFD program.
As shown in the Table 3, the mass rate and total pressure ratio are very closely between design and numerical simulation results.
The simulation isentropic efficiency is higher than the design goal.
The main reason for this situation is neglected the tip clearance and numerical simulation also has somewhat effects.
Table 3 Overall performances of the turbine Mass flow[kg/s] Design 4.85 CFD simulation 4.91 Isentropic efficiency Design 86.63% CFD simulation 90.08% Power [kW] Design 308.15 CFD simulation 330.45 (a) (b) (a) (b) Fig.5 The distribution of static pressure on the stator (a)and rotor(b) blade surface at midspan Fig.6 The calculated limiting streamline patterns near the suction surface(a) and pressure surface(b) of the rotor Fig.5(a) shows the distributions of static pressure on the stator blade surface at 50% blade height.

A CFD model of erosion-corrosion of Fe at elevated temperatures in aqueous environments M.M.
Such models have comprised quasi-static and simulation models.
In this paper, a CFD model is generated of the tribo-chemical interaction at elevated temperatures.
For the density of water: (12) and for the water viscosity variation with temperature: (13) Equations (12, 13) were used in the CFD simulation to calculate the water density at the temperature range given.
The validation simulation was made for SS304L stainless steel alloy using the Forder erosion model [21] as in [30].

The investigation of these flow field characteristics made use of the computational fluid dynamics (CFD) to simulate the air flow in the classifier.
During the last several years, Computational Fluid Dynamics (CFD) has garnered significance for its investigation of fluid flow[6].
In fact, the commercially packaged CFD software, Fluent, is one of the most efficient means of studying the fluid dynamics of many physical systems, having been widely used in engineering applications including simulation of flow fields in classifiers.
The use of CFD thus alleviates the problems of mass in material experiments and improves efficiency.
Investigation and simulation of a cross-flow air classifier.

This paper summarizes the two methods which are experimental research and numerical simulation to thermal environment of the tunnel.
In addition, the solving accuracy of numerical simulation is closely related to the operator, so it has great subjectivity.
The three-dimensional model established on the CFD software is shown in Figure 1.The whole computational domain is 15*500*20m which consist of soil horizon and concrete layer.
Through CFD software, the radial temperature distribution of surrounding rock and the axial temperature distribution of air at winter and summer conditions are obtained.
Research on Simulation and Evaluation System of Energy Conservation for Tunnel Ventilation System[J].

Simulations consider two types; i.e.
The pressure loss ‘cold’ test simulations consider ambient inlet air temperature (20oC) and adiabatic condition for all walls.
Two methods are used to evaluate HTC; one is based on an isothermal simulation, where qw(iso) is wall heat flux and Tnw(iso) is near wall fluid temperature, and the other is based on combination of of adiabatic and isothermal simulations , where Taw is adiabatic wall temperature.
Figure 3a presents CFD predicted pin-fin wall HTC for different wall surfaces roughness of pin-fin and end-wall inside cooling passage.
Figure 3b presents CFD predicted Nusselt number at four different Reynolds numbers Red5=9000; 18000; 27000 and 36000.

Wind Speed/(m/s-1) Human Senses V＜5 Cozy 5＜V＜10 Uncomfortable,action affected 10＜V＜15 Quite uncomfortable,action to be seriously affected 15＜V＜20 Insupportableness V＞20 Dangerous The Meteorological Data and CFD Computational Fluid Dynamics Analysis The Meteorological Data.
The Analysis of CFD Computational Fluid Dynamics.
Numeral simulation of fluid flow is that solving fluid dynamics equations discretly,which are obeyed by air flow,and display the result visually with computer graphics techniques.The numerical simulation technique is called computational fluid dynamics（CFD：Computational Fluid Dynamics）technique.
Since 1974, people have carried out the CFD technology application into the simulation and research work of building environment.With the development of computer technology,CFD with its low pay,convenience is applied widely.
References [1] R.Yoshie,A.Mochida:Journal of Wind Engineering and Industrial Aerodynamics,Vol.95(2007), p.1551 [2] Yoshihide Tominaga:Journal of Wind Engineering and Industrial Aerodynamics,Vol.96(2008), p.1749 [3] Li Baofeng, Architectural Design Ecological Strategy, Beijing: Tsinghua University, 2004:31,in Chinese [4] Lee Kun, Yu Zhuang, Wuhan Regional Wind Environment Influence in the Simulation Analysis of the Temperature, Beijing: resources science, 2006, 28 ( 6) :51-59,in Chinese [5] C.W.Tsang,K.C.S.Kwok,P.A.Hitchcock:Bilding and Environment,Vol.49(2012),p.167 [6] Yoshie,R,“CFD analysis of flow field around a high-rise building”,in Summaries of Technical Papers of Annual Meeting,Environ,Engg, II, AIJ,(1999),in Japanese [7] Kataoka,H,“Large Eddy Simulation of building”,in Summaries of Technical Papers of Annual Meeting,Environ,Engg,II,AIJ,(2003),in Japanese [8] Information on http://www.abbs.com.cn/