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., Wang Mai, Pathum Wan, Bangkok 10330 THAILAND aBoonchai.L@Chula.ac.th Keywords: Dumitrescu’s Model; Froude Number; CFD; Pipe Diameter; Taylor Bubble.
The simulations are computed by a program code, given in [4].
A simulation of the liquid flow in a domain gives a pressure distribution of liquid along the Taylor bubble surface () which relates to a pressure distribution of the gas inside the bubble () by considering the effects of the surface tension and the normal stress as follows

By using AVL FIRE code, three-dimensional numerical simulations of the diesel-natural gas injection characteristics in a direct injection diesel-natural gas engine were conducted.
According to the geometric symmetry of the combustion chamber and location of the injectors, the CFD calculations were performed with the mesh of 51.43°.
Based on the above simulation models, the simulated cylinder pressure and heat release rate for the dual-fuel engine were in good agreement with those from the experiment, which verified the validity of the simulation models[3].
So here the natural gas injection velocities of 50m/s, 100m/s, 150m/s, 200m/s, and 250m/s were chosen for numerical simulation study.
Numerical Simulation of the Effect of Fuel Injection on Combustion and Emission of Diesel Engine.

FLUENT is a suit of international commercial CFD software.
Compare the simulation results with analysis results based empirical formula.
Fig.1 shows the simulation and physical photo of TUV.
There are biased between simulation results and the empirical formula.
In a reasonable range, the credibility of simulation results and the simulation results are intuitive.

Numerical Simulation of Bio-oil Emulsion Combustion In the Direct-flow Combustor Qi Wang 1, a 1 College of metrological Technology and Engineering, China Jiliang University, Hangzhou, 310018, P.R.China awangqi@cjlu.edu.cn Keywords: Direct-flow combustor, Emulsification, Bio-oil, Combustion, Numerical simulation.
In this paper, the combustion characteristics of bio-oil and diesel emulsions were simulated by using CFD method.
In this simulation, wall is assumed as the boundary of heat convection.
Simulation Results Temperature Field and Velocity Field Distribution.
Because the simulation of three fuels was under constant flow rate, this ignition delay was caused by the bio-oil addition.

Take front guide vane as an example, adopting the NUMECA for numerical simulation, the result is as similar as the experiment’s.
Since different methods of simplification and mesh, CFD results have some differences [4].
The result of numerical simulation is shown as fig.9—fig.12.
The numerical simulation result is inosculated with the experiment.
A Simple Engine Cooling System Simulation Model.SAE International.

In the numerical simulation of water-entry impact at high speed, natural cavitation must be taken account as well as six degrees of freedom, so we integrated these two kinds of methods to make numerical simulation.
So, it is very important to research on the influence of mesh method to numerical simulation.
Simulation example Calculating zones The far-field of whole computational domain is defined as pressure boundary.
Numerical simulation of undersea cable dynamics.
Computational Fluid Dynamics and Applications –Principle and Applications of CFD Software[M].

The CFD computational result and the analysis show that the airfoil of the seagull is suitable for the special work circumstances of the small unmanned plane, and it can be used for the further design of the wings.
Numerical Simulation Method The S-A Turbulent Flow Model The S-A turbulent flow model is specially designed for aerospace field in its research on the wall boundary flows, which is mainly used to properly solve the areas of boundary layer that is affected by viscidity and has a better convergence toward solid wall turbulence flow. [4] The S-A model is not directly simplified by the k-ε equations model, but begins with the analysis of experience and dimension.
The turbulent flow viscosity coefficient is calculated by the following formula: [7] Grid Division and Boundary Condition Settings In this paper, the numerical simulation airfoil models are seagull and NACA 4412 airfoils.
Simulation of Low-Reynolds-Number and High-Lift Airfoil S1223 [J]，Proceedings of the World Congress on Engineering 2009 Vol II，July 1-3,2009

High conductivity porosity materials are proposed to enhance the phase change materials (PCM) in order to solve the problem of low conductivity of PCM in the latent heat storage device (LHSD), and two-dimensional numerical simulation is conducted to predict the performance of the PCM by CFD software.
In the present paper, a numerical model for a latent heat storage device (LHSD) is presented, where aluminum or graphite foam is used for heat transfer enhancement of paraffin, then data from literature are used to validate the simulation method by Fluent software, a widely used commercial software.
Fig. 3 Comparison of the simulation with literature results Fig. 4 Variation of liquid fraction with time under different grid Results and discussion (c) e= .95 (b) e = 0.84 (a) Pure paraffin Fig. 5 Effect of porosity on the temperature of PCM Analysis of temperature for the PCM in solidification process.
The analysis presented here can broaden the method of thermal conductivity for PCM, and the simulations may be used in the design of latent heat storage systems.

In this paper, the numerical simulation analysis of jlu fsae racing car aerodynamic character based on star-ccm+ was introduced.
Numerical Simulation Overview Model of Simulation.
Based on the star-ccm+ software, we do a external flow field numerical simulation of the jlu fsae car.
In this paper, by comparing the simulation results of the four kinds of condition for the car flow field numerical simulation, we search for the appropriate boundary condition setting and study the influence to simulation results by the rotation of the wheels.
Howell.The Use of CFD to Predict the Aerodynamic Characteristics of Simple Automotive Shapes [C]//SAE Paper 980036

(1) Fig. 1 View of experiment place Fig. 2 Maximum stabilized height of wave for 150 mm fluid filling Fig. 3 The control screen of PC 0.2 0.4 0.6 0.8 1.0 1.2 1.4 Amplitudes: Fig. 4 Maximum heights of wave in [cm] Numerical solution, results, discussion The experiment was used as base for numerical simulation.
Comparing of shapes of free surface of fluid and maximum heights of wave from numerical simulation and numerical simulation are seen in Fig. 5 and Fig. 6.
The numerical simulation allows clarification of the reference phenomenon, from which follows knowledge of forces, pressures acting onto walls and the bottom of containers during an earthquake, displacements, velocity, etc.
The numerical simulation shows oscillating of pressure by relative value 120 Pa.
CFD simulations of the effect of wind on the spontaneous heating of coal stockpiles.