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The simulation datas compared with test datas show that under different calculation conditions, head error of the simulation data and experimental data is less than 1%, and the efficiency value of error is less than 5%.
The simulation method can accurately calculate the performance of the pump.
Then we test the sample and compare the test datas with simulations.The datas comparision is shown in fig.7.
Conclusion By studying the following conclusions: (1) we gave a new structual aero fuel centrifugal pump’s design method that inducer and impeller was combined based on combining empirical coefficient method with modern CFD technology, achieving structural parameter optimization and shortening the design cycle time in process
[5] Shen S C.Design and simulation of aero-engine high presssure centrifugal pump:Computer Simulation, Vol. 84-87(2011),p.28:.

Fig. 1 Model of water antrum Fig. 2 Model of cylinder head Mesh Modal In numerical simulation, the division of the grid is a very important and difficult issue.
The high quality grid is the prime condition of the successful realization of the numerical simulation; it will directly affect the computation, no matter thin or thick.
References [1] Guo Lixin, Yang Haitao, Numerical simulation of temperature field of cylinder head and cylinder block using directly coupled calculation,.
[5] Srinivasan V, Moon K, Numerical simulation of immersion quenching process of an engine cylinder head, Applied Mathematical Modelling, 34 (2010) 2111-2128
[8] Liu Jie, Pan Yisu, Influence of contact simulation on thermal stresses analysis of cylinder head, Journal of Chongqing Institute of Technology, 22 (2008) 24-27.

Three simulations are made to testify the method on flow control.
In 2004, USA's NASA the Langley Research center has managed item of named “zero mass jet flow and the turbulent separation control CFD confirmation” especially; one of its achievements has provided the more widespread empirical data for the active control simulation.
Numerical simulation configuration and the calculation conditions selected from related experiment of NASA LeRc in this paper, included independent zero mass jet, synthetic jet in a crossflow and active control of airfoil.
In the numerical simulation, the jet flow model (boundary condition) (case1) replaces the zero mass jet to simulate the internal flow field, this simplified the simulation process, the mean velocity on the center line, the jet width, velocity distribution and velocity type are compared well with experimental results.
Tsinghua University Book Concern, 2004 [5] Langley Research Center Workshop.CFD Validation of Synthetic Jets and Turbulent Separation Control.2004.3

The numerical simulation was carried out to reveal the flow field.
Numerical Simulation Flow characteristics of the impinging jet with expansion pipe were studied by commercial software (ANSYS ver.13.0, Fluent).
Streamlines on Y-Z plane passing center of nozzle from CFD results are shown in Fig. 3.
Fig. 3 Streamlines of jet and ambient air on Y-Z plane at centre of nozzle (CFD results, Re=20,000) Heat transfer characteristics.

CFD software was used to analyse the effect of mixed convective heat transfer in different air speed on interior helium temperature of high-altitude-cruising stratospheric balloon.
The internal natural convective heat transfer is in a large enclosed space, which was calculated by CFD software based on boussinesq hypothesis.
The internal natural convective heat transfer was calculated by CFD software automatically.
Thermal performance analysis of a high-altitude-cruising airship in summer solstice has been carried out by CFD analysis software.
A Study of Thermal Simulation of Stratospheric Airships[J].

Likewise, several commercial CFD codes ,like FLUENT, CFX, CHEMKIN etc., have been developed for combustion simulation.
(28) 5-Simulation of premixed flame by FDS: The FDS-5 (Fire Dynamics Simulator) code, developed by the American Institute NIST is a CFD model of three-dimensional numerical simulation.
This tool along with Smokeview software which helps to visualize simulation results is freely available on the website of NIST.
This allows us to validate our numerical method and use FDS code for simulation of premixed flames.
Zou,  « Numerical simulation of pressure changes in closed chamber fires” , Building and Environment 44 (2009) 1261–1275

Lattice Boltzman Simulations of Cavity Flow using CUDA Xiaoping Li1, a Hongming Zhang2,b and Xiaoxu Zhang2,c 1School of statistics and mathematics, Yunnan University of Finance and Economics, Kunming 650221, China 2Department of Engineering Mechanics, Kunming University of Science and Technology, Kunming 650500, China alxping@myopera.com, bhmzhang8888@126.com, c251809332@qq.com Keywords: CUDA; LBM method; GPU computing; cavity flow Abstract: GPGPU has drawn much attention on accelerating non-graphic applications.A new algorithm on the numerical simulation of Lattice-Boltzmann method (LBM) based on CUDA is studied.The cavity flow is simulated by D2Q9 model of LBM method ,with the non-equilibrium extrapolation method for velocity boundary to deal the wall boundary conditions and using global memory and texture memory to store data.In the model the 9 distribution functions were all stored in the form of two-dimensional grid, each grid is assigned a thread and each thread block
includes 256 threads.The simulation for cavity flow with LBM was carried out by CUDA and NVIDIA GeForce 8600 GT on a PC.The speed is more than 15 times faster than that of the CPU.
Simulations result To compare the performance of the CUDA solver of LBM with the serial C solver,6 cases were taken into count ,each cases are different with the Re,and the simulation result were shown in fig.3.
Conclusion The Simulations get a high precision result,and the comparing the execution time shows that the gpu has high floating point arithmetic capability.and is promising solution in computational fluid dynamics,fot it’s less expensive than cpu.
Our future work is to continue improve the parallel method and apply the solver to our engineering simulation problems.

Numerical Simulation and Comparison on the Inner-flow Field in Hydraulic Feedback Pump Shuqin Xiao1,a, Duanyin Zhu*2, b, Shuangquan Liu3, c 1Oil & Gas Technology Institute, Changqing Oil Field Company Xi'an 710018,China 2School of Mechanical Engineering, Xi’an Shiyou University, Xi’an, Shaanxi province, 710065, China 3National Engineering Laboratory for Exploration and Development of Low-Permeability Oil & Gas Fields Xi’an 710018,China bzhudy@xsyu.edu.cn Keywords: Inner-flow Field; Numerical Simulation; Fluent; Optimal design Abstract.
Therefore through numerical simulation and comparison of several options selected, the design can be further optimized, can more scientific selection and matching of production technology and solutions.
Conclusion Through inner-flow field numerical simulation of the three different types hydraulic feedback pump, can be concluded that under the same working condition, the inward and outward pressure difference of the big up and down hydraulic feedback pump is the largest, the internal pressure difference of pump increases with hollow sucker rod pump, can better finish oil swabbing, improve the efficiency of the hollow rod pumping system.
FLUENT fluid engineering simulation examples and application [M].
Proficient CFD engineering simulation and case combat[M].Beijing: people’s posts and telecommunications publishing house, 2011.

So the theoretical base is established of the full process of ECM simulation.
Much attention is focused all the way on the research of ECM simulation whatever in domestic or abroad[2,3,4].
It is the base of ECM simulation to set up actual mathematical-physical models of ECM.
The detailed solution of mathematic model can be got by using CFD from ANSYS[7,8,9].
Computer Simulation System for Electrochemical Shaping.

Bouyer et al. [3] established a coupling simulation platform to evaluate the microclimate influence on building performance by integrating a home developed thermoradiative code into the commercial CFD software Fluent.
Methodology 2.1 Introduction of simulation tools In this work, building energy simulation was performed by EnergyPlus program (version 6.0).
The BCVTB is a software environment that aims to couple different simulation programs for co-simulation, and to couple simulation programs with actual hardware.
After introducing the air temperature and flow fields from ENVI-met (basing on CFD simulation) into EnergyPlus, these correlations are no longer applicable.
Carmeliet, Convective heat transfer coefficients for exterior building surfaces: Existing correlations and CFD modelling, Energy Conversion and Management Vol. 52 (2011), p. 512-522