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The experiment show that the direct injection engine lean burn limit can increase 1.8 ~ 2.5 AFR unit. 1 Calculation model In order to verify the simulation accuracy, the combination of 3D simulation and steady flow test bench is shown in figure 1. 
According to the GDI-4G15 gasoline engine meshing scheme, we use AVL-FIRE software to simulation the oil and gas mixing process in cylinder.
On the basis of the above boundary conditions, this paper develop the numerical simulation of the compound injection system.
New Approach to Turbocharger Optimization using 1-D Simulation Tools[C].
CFD Investigation of Wall Wetting in a GDI Engine under Low Temperature Cranking Operations[C].

The grid of calculation is the solving based on the flow field of numerical simulation, the quality of scheme for space discrete largely decides the accuracy of the flow field numerical simulation, and directly related to the success or not for the CFD simulation problems.
Considering the complex of the tip-blade flow field of wind turbine, this method controlling the variation gradient of grids near the blade wall can reduce false diffusion in the numerical simulation, ease the difficulty of the grid generation, and control the numbers of the grid, which can save the computing time efficiently and improve calculatingly accuracy.
Simulation Methods 1.
Selection of the Turbulence Model Use the Large eddy simulation method LES, and take the standard Smagorinsky [5] model as the small scale calculatingly grid model. 2.
Simulation Results and Analysis In accordance with the above set, through the calculation of the flow field, get the vorticity distribution of Z = 0 section of S series impeller, as shown in Figure 4; and get the radial velocity distribution of Z = 0 section of S series impeller, as shown in Figure 5; and get the axial velocity distribution of Z = 0 section of S series impeller, as shown in Figure 6.

Finite Element (FE) simulations of the forming process were performed in this paper.
The trends shown by the simulation results are in good agreement with the experimental results.
Based on the computational fluid dynamics (CFD) method, a 3D model was built using a modeling software GAMBIT firstly and the thickness distributions under different process conditions were calculated using a calculator POLYFLOW.
Several simulations have been carried out.
The 3D axisymmetric simulation model Process Conditions.

Challenges in Simulation of Aerodynamics, Hydrodynamics and Mooring-Line Dynamics of Floating Offshore Wind Turbines[C],Presented at the 21st International Offshore and Polar Engineering Conference, 19-24 June 2011, Maui, Hawaii
Dynamic overset CFD simulations of wind turbine aerodynamic[J], Renewable Energy 37 (2012) :285-298

What’s more, FDS is not time-consuming with the means of the Smagorinsky form of Large Eddy Simulation (LES).
Simulation Condition A theoretical condition was first simulated to identify the critical ratio of mass flow rate and velocity of flow field.
To further analyze the diffusion behavior of agent gas in zone, inert object was introduced in the next simulation.
Fig. 7, 11 shows the results of simulation.
The simulation shows satisfying results, which indicates the potential possibility of CFD methods to be an assistant way and be used in actual gas fire extinguishing system evaluation.

Numerical Simulation of Dissolved Oxygen Transfer in an Aerated Pond Guanglin Wu1, a, Liangsheng Zhu2, b*, Fangcheng Li3, c 1,2College of Civil and Transportation Engineering, South China University of Technology, Guangzhou, Guangdong, China 1,3College of Engineering, Guangdong Ocean University, Zhanjiang, Guangdong, China aemail:zjwuguanglin@163.com, b*corresponding author: email:lszhu2000@vip.163.com, cemail:gdzjlfc@126.com Keywords: dissolved oxygen; water-wheel aerator; water pond; mass transfer; hydrodynamics Abstract.
CFD models Single phase governing equations of fluid dynamics are adopted here as follow.
Numerical simulation methods A water pond of 130 meters long and 90 meters wide is taken as research object.
The solution solver based on incompressible viscous fluid, 2 dimension dynamic k-e turbulent model in this simulation, and pressure-implicit with splitting of operators (PISO) arithmetic.

With the help of simulation tools like AVL BOOST and ANSYS FLUENT, the proposed measures for improvement of intake manifold were analyzed.
The simulation results indicated that two best intake manifolds were recommended for experimental purposes.
Nowadays, the unstoppable advance in technology as well as the development of design and simulation software, the problems mentioned above become acknowledged and enhanced.
Dhekane, Twin Helical Intake Port Design Optimization And Validation By Using CFD Analysis, International Journal of Emerging Technology and Advanced Engineering, Volume 4, Issue 4, 454–462. (2014) [3].

With the help of BIM technology, we can simulation analysis of the ambient temperature, the age of air, wind speed and wind pressure, soughting to a method of quantitative analysis of mountain traditional houses, and the design of ecological energy-saving.
The most critical step is to translate model informations into identified eco-energy saving software (CFD, EnergyPlus, dest, Doe-plus ,Ecotect etc.).
After the simulation, architects apply the final data to optimize and reflected in the BIM models.
According to the meteorological data of Chongqing, simulation analysis of wind environment (air age, velocity and wind pressure) and get the flow pattern of air, then adjust.
Its powerful information management capabilities provide a methodological foundation for a variety of related simulation and analysis.

Numerical simulation, combined with experimental investigation, is therefore a key tool for understanding the crystallisation process, and optimizing it.
The purpose of the present work is to present an experimental furnace for directional crystallisation of silicon, and its analysis by means of numerical simulation.
The thermal field has been computed by a CFD tool, taking into account important phenomena such as radiation and convection in the melt.
Numerical simulation, combined with experimental investigation, is therefore a key tool for analysing the cooling procedure, and optimizing the casting process [1-3].
The mesh used in the simulation is shown in Figure 1(a) [4].

The development of water current turbine at Fluid Machinery Laboratory FTMD ITB is starting with searching numerical simulation model at ANSYS 12.1 using NACA0018 blade profile comparing with experiment and carry out that the Reynolds Stress Model is adequate between simulation and the experiments.
The numerical simulation at the flow velocity of 0,4 m/s give CP =0,39 at TSR=3,2 but at the experiments measurement give CP =0,35 and TSR= 3,88.
Other experimental case at flow velocity 0,6 m/s give CP =0,38 at TSR=2,18 the experiments and simulation result different is due to the friction loss of the transmission.
Equipped by NACA0018 optimized, the three parallel current water turbine with concentrator channeling device numerical simulation at velocity V=0,4 m/s produce CP =0,64 at TSR=2,97 and at Velocity V=0,6 m/s produce CP =0,51 at TSR=3,35.
Paper ID: AICFM12-0001, Yogyakarta, INA, 2013 [11] Yuliandra Syahrial Nurdin, Priyono Sutikno, Simulation of straight Blade Darrieus Turbine with Channeling Device in Utilize with Parallel and Shifting Angle Configuration.