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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].

Flow and Heat-transfer Simulation Based on CFD and Experimental Study during High-Pressure Gas Quenching Zhijian Wang 1,a and Xiaofeng Shang 1,b 1 School of Mechanical and Electrical Engineering, Shenyang Aerospace University, Shenyang Liaoning, China, 110136 awangzhijian1974@sina.com, bxfshang@vip.sohu.com Keywords: High-pressure gas quenching, CFD, Flow and heat transfer, Temperature field, Flow field.
The hot wire anemometer is used to measure the inlet velocities of nozzles, which provides the boundary conditions for computer simulation.
By the computer simulation, the gas flow fields, work temperature fields and work cooling curves are attained.
Computational Fluid Dynamics (CFD) has been an important method to study the complex gas flow and heat exchange during high pressure gas quenching.
Figure 3 shows the simulation result of the velocity vector in Y = 0 section.

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.

CFD simulation.
Numerical wind tunnel technology (CFD technology) is a method for simulating changes in the surrounding wind field base on fluid dynamics and solving wind load on the surface of building.
Numerical Simulation Model.
In the crosswind surface corner, like 10, 11, 12 present the numerical simulation results to be small, the measuring point 20, 21, 22 numerical simulation results are big.
(3) Standard model exist a certain error, for improving simulation precision, must be further improved.

In this study, the CFD study was conducted by using Fire Dynamics Simulator of NIST [13, 14].
Simulation Set Up Simulations were carried out using Fire Dynamic Simulator (FDS) of NIST version 6.0.
FDS is a computational fluid dynamics (CFD) model of fire-driven fluid flow.
The simulation time was set as 500 second.
Smoke control in case of fire in a large car park: CFD simulations of full-scale configurations.

Then CFD has been a powerful tool for engineers to analyze and solve questions about fluid flow.
So some advises are provided for those engineers who design the structure of antennas or compute the wind loads by numerical simulation.
Finally, the influencing curve versus mesh division for simulation result is shown in Fig.5.
The modeling principle of the outer flow field in CFD is described in detail.
Influencing factors in numerical simulation of wind load on buildings [J].

CFD analysis model and conditions In fluid dynamics field, some difficult problems by experimental or theoretical methods can be solved by the use of CFD analysis.
Fig. 1 shows the CFD model for working fluid area to be analyzed.
The simulations of fluid flow were done by a finite volume method as a three dimensional, unsteady turbulent flow.
They prove its high accuracy of our built CFD simulation model [8-9].
[8] Wilcox D C, Turbulence Modeling for CFD, 2ed., DCW Industries, La Canada, 2002

Therefore, Compared with 6BT impeller, this research uses CFD as a tool to study the effect of 6BT impeller on fluid pressure distribution and power consumption.
The 3D flow field was simulated using the commercial CFD package, Fluent V6.3.
The average shear rate can be used to evaluate the apparent viscosityof the solution using Herschel- Bulkley rheological model: (3) The xanthan gum solution rheology was modeled as Herschel-Bulkley fluid, and all simulations were conducted in the laminar and low transitional regimes using the laminar model.
The simulations were considered converged when the scaled residuals for each velocity transport equation were below 1×10-4.
Fig.4 and Table 4 shows the pressure profiles of the flow field and CFD values of agitation torque in xanthan gum solution, respectively.

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.

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].