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Numerical simulations are ideally suited to study these complex immiscible interfacial flows and provide an insight into the process that is difficult by experiments.
The VOF (volume-of-fluid) method is widely adopted by general commercial CFD (computational fluid dynamics) codes.
ANSYS CFX ® is a general commercial CFD code that uses the VOF method to treat immiscible interfacial multiphase flows.
On the second experiment all the simulation parameters of Experiment 1 were maintained except the viscosity of the cement which value was replaced by Equation 1.
Considering the power law, total pressure continuously increases until the end of the simulation - Figure 4 (b).

The structure parameters of the guide-vane will be optimized from the simulation results.
Fig.1 Configuration of flowmeter Fig.2 Specimen of guide-vane Fig.3 1/6 simulation model Simulation model As to the flow of high Reynolds number, the flow is partitioned into two parts[9].
The simulation medium is water at 20°C.
Simulation and analysis Performances of Different Front Oriented-Body.
During the simulation of CFD, the steady-vane is not supposed as the thin plane.

The turbulent flow in the designed HSBP have been simulated and analyzed by using the multiphase suspend body CFD simulation technology.
The simulation results indicate that the turbulence in the designed HSBP can meet the requirements of blood physiology.
By using the means of computational fluid dynamics (CFD) when optimizing the shape of impeller, we can predict the function of blood pump and the disadvantage of inner flow field more precisely so as to lighten the shear stress of the blood cell.
So it’s important to use CFD technology on studying the improvement of blood pump’s mechanical efficiency and reducing the blood turbulent injury.
The length of impller is 15mm; the designed flow is 5L/min;the pressure drop of inlet and outlet is 100mmHg;the speed of impeller is 7500rpm. Ⅱ CFD Simulation results of IMFBP’s Inner turbulent flow field Fig.2 The distribution of TKE in HSBP Fig.3 The distribution of the axial TKE Fig.4 The distribution of TDR in HSBP Fig.5 The distribution of the axial TDR Fig.2 shows the distribution of TKE in IMFBP’s flow field.

Research on Francis Turbine Hydraulic Vibration by CFD Jing yang1, a, Lida Zhang1,b and Lei Lu1,c 1School of Energy and Environment, Xihua University, Chengdu, China any.yangjing@163.com, bzlida@126.com,c812810027@qq.com Keywords: water turbine, hydraulic vibration, air compensation, analysis.
The models was built by using UG and analysed by CFD numerical analysis software to simulate the vibration conditions with air-water two-phase flow.
In modeling some simplification is necessary to be made for simulation, because some of the details will affect the accurate simulation results, as shown in Fig. 1.
Fig. 7 Velocity vector(improved) Fig. 8 Turbulent kinetic energy cloud(improved) Conclusion This paper is based on the abnormal vibration of the low head Francis turbine under the head higher than rated was studied as an example by CFD numerical simulation.
[3] Longhan Xie, Xinyu Long, Jiongming Zhang:CFX fluid analysis and Simulation,Electronic industry press,chapter, 8,Beijing 2012,(in Chinese)

Computational Fluid Dynamics (CFD) simulation is expected to give detailed flow information which is important for stirred reactor design and optimization, however accurate flow prediction remains a challenge for CFD application.
As the development of computer technology, Computational Fluid Dynamics (CFD) provides a useful tool for the investigation of hydrodynamic inside the stirred reactors and can reveal a lot information which cannot be obtained merely using experimental approaches.
By defining the fluid properties arbitrarily, both Newtonian [8] and Non-newtonian fluid [9] could be studied in the CFD investigations.
However, there are also some challenges for CFD applications, one of which is accurate prediction of flow quantities such as turbulence kinetic energy distributions, etc.

As computational fluid dynamics (referred to as CFD) technology continues to evolve, many scholars have simulated a variety of inlets by CFD method.
A approach called N-point momentum model was proposed to describe boundary conditions of air terminal devices with CFD.
The experimental verification of numerical simulation.
N-point momentum model for indoor airflow simulation.
Simulation of a multiple-nozzle diffuser[A].

RESEARCH OF FINITE ELEMENT SIMULATION FOR DIESEL INTAKE PORT ZHANG LIANG-FENG a, CHEN DUO b and LIU MING-WEIc Hunan Institute of Engineering, China a lfzhang@hnie.edu.cn, bduochen@hnie.edu.cn, clmw662000@126.com Keywords: Diesel engine; Intake port; Finite element; Numerical simulation Abstract.
Because of the characteristics of 3D turbulent transport properties of flow field in intake port, we must choose a proper turbulent model for numerical simulation.
Finally, we use interface between software to import 2D model (Fig .1) into ANSYS software for CFD analysis.
[3] Zhang Liang-feng, Modeling and CFD analysis of air intake for SL1126 diesel engine spiral [D].Hunan University, 2005, 01
[5] Connor J.F., McKinley N.R.CFD Simulation of in-take Port F10w Using Automatic Mesh Generation: Comparison with Laser Sheet Swirl and LDA Mea-surmounts for Steady Flow Conditions [C] SAE Paper 980l 29.

In this paper, numerical and physical simulation methods were employed to verify mutually and analyze the hydraulic characteristics in a tangential vortex dropshaft.
As an assistant tool, the simulation results of CFD software (e.g., Fluent, CFX) had some shortcomings as well.
So, that is certainly a reasonable approach that the results of numerical simulation was compared and verified with hydraulic scale model.
A fully three-dimensional and steady-state CFD analysis was conducted using the commercial solver FLUENT™{TTP}8482 .
Q=2.0 m3/s Fig. 8 Comparison of total pressure calculated by CFD and physical model(Z=0) Conclusions The hydraulics of tangential vortex dropshaft was studied through numerical and physical simulation methods.

By using CFD software, the important parameters of velocity and pressure in the flotation column are analyzed and contrasted.
Three-phase flow field simulation study of oil, gas and water based on microbubble flotation Numerical simulation technology for the three-phase flow studies propose a new research method, this paper will research the three-phase flow field of flotation column based on the commercial CFD software FLUENT.
Since the simplified model is relatively simple, column flotation uses ICEM CFD modeling and meshing.
The geometric model and numerical simulation meshes This model doesn’t exist negative meshes, the minimum is Min = 0.970185, so it can be imported to FLUENT to complete the simulation calculation
Conclusions (1) By using CFD software, the important parameters of velocity and pressure in the flotation column are analyzed and contrasted.

Demael and Carissimo [4] compared the performance of the Mercure_Saturne CFD model using the standard k-ε model and two Gaussian plume models in the case-neutral simulation of the Prairie Grass experiment.
Pontiggia et al [6] presented a technique for importing complex three-dimensional geometries from topographic databases to use them in CFD simulations and conducted a case study that considers the dispersion of ammonia in an urban perimeter.
Boundary conditions used in the simulation.
Strimaitis, CFD model simulation of dispersion from chlorine railcar releases in industrial and urban areas, Atmospheric Environment 43 (2009) 262-270
Abbasi, CFD-based simulation of dense gas dispersion in presence of obstacles, Journal of Loss Prevention in the Process Industries 24 (2011) 371-376