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Fig4 The model after mashing Fig.5 The model after loading 3.Finite element method ANSYS－FLOTRAN CFD is an advanced tool used to analyze the two and three dimensional flowing fields[3] .
It usually includes three steps as follows: model building, loads applying and equation solving. 3.1model building (1) Analysis type choice:Choose the analysis function of ANSYS－FLOTRAN CFD
Fig.7 shows the relationship between acceleration and the bridge output when angle=15.In short, in a small acceleration, the angle between thermistor connection and the x-axis is 45 ° we can get the best output. 0° 15° 30° 45° 0g 0 0 0 0 0.5g 11.1 11.7 14.2 26.4 g 21.9 27.5 56.4 108.5 Table.2 The difference between two thermistors 0.0 0.5 1.0 1.5 2.0 0.0 0.1 0.2 0.3 0.4 0.5 0.6 ΔV/(v) a/(g) B Fig.7 The relationship between acceleration and the bridge output when angle=15° 角 度 a 夹 角 T2 T1 a 6.Conclusions Using the finite element method and ANSYS－FLOTRAN CFD program, the temperature field is calculated in different accelerations and different angles.The calculation results and analysis results show: If not beyond the measurement range, The more close to the heat flow center,the greater temperature difference between the two hot-resistances,and the greater output of voltage.
[2] Guoqiang Wang, Numerical simulation and practice on ANSYS [M], Xi'an: Northwest Industry University Press, 1999. 221

An unidirectional (one way) analysis is performed by running a CFD analysis, extracting the forces acting on a solid surface and then importing them to a structural analysis.
In an unidirectional analysis the response from the structural analysis will not affect the CFD analysis.
In a bidirectional (two-way) analysis the structural response will be taken into account and affect the flow simulation.
After analysis in CFX resultant pressure distribution as shown in Fig 2b. 100 MPa 180 m/s Figure 2a: Loads and boundary conditions Figure 2b: Imported pressure distribution for fluid domain into structural analysis from CFX analysis Figure 2c: Boundary conditions on structural analysis (Solid domain) Verification and Validation: To verify the solution from the CFD analysis a mesh independence analysis was performed.

Specially, a vortex flow field in the pipe experiencing particle abrasion was formed and particle flow simulation was conducted.
Boersma and Nieuwstadt [4] computed a fully developed turbulent flow in a curved pipe using Large Eddy Simulation (LES).
Riffat and Gan [5] predicted the pressure loss coefficients for rectangular and flat-oval elbows using commercial CFD code FLUENT.
We analyzed the flow characteristics in a 90° elbow, and also conducted particle flow simulation.
Finally, commercially available CFD software, STAR-CD was used.

After the realization of impact at foamed sheet die’s entrance causing by the pressure fluctuations, a device buffering the pressure fluctuations is designed and CFD software FLUENT is used to analysis of its effect.
Conclusions It can be seen that the design of the device through FLUENT simulation can significantly reduce pressure fluctuations.
ChengYi Liu,Yan Li; Numerical simulation of transient [J], 2010，05 :8-11

The Computational Fluid Dynamics (CFD) method, which is widely used by many researchers [2,3], has been proved to be an effective approach to reveal the sloshing motion, especially in case of low-gravity and zero-gravity liquid sloshing.
However, due to the high complexity of spacecraft systems and the limitations of the onboard computers on the CPU speeds and memory sizes, the CFD simulations are not available.
Baeten[13-15] adopted a three-dimensional time accurate particle-cluster method to prediction the spacecraft fuel sloshing in experimental satellite, the simulation results showed that sloshing effects and impact forces was close to those obtained from the experimental satellite.
Sudermann, “Using CFD techniques to predict slosh force frequency and damping rate,” 50th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, May 2009, Palm Springs, California

The commercial computational fluid dynamics (CFD) code, ANSYS-CFX 11.0 [12] is used for the flow analysis.
And, CATIA and ICEM-CFD are employed to design the groove and to generate the mesh, respectively.
The air is considered as an ideal gas and the average static pressure is set at the outlet boundary condition for steady-state simulation.
Also, the near-stall point of the experimental data is 0.925, which is the mass flow normalized by the chocking mass flow, while the near-stall point predicted by the numerical simulation is 0.909.
Validation of CFD results with experimental data.

Study on the operation characteristics of Electrostatic Fabric Precipitator Chaofan Sun1,a, Xinglu Yu2,b, Xinfeng Long2,c, Bo Lou 2,d，Debo Li1 1 Electric Power Research Institute of Guangdong Power Grid Corporation, CSG, Guangzhou, 510080, China 2 Room405A, Building 16, South China University of Technology, Guangzhou, 510640 China asun-cf@163.com, ayuxinglu66@163.com, ccexflong@scut.edu.cn, dloubo@scut.edu.cn, Keywords: numerical simulation; DPM; airflow distribution; CFD Abstract.
Numerical simulation method was used in this paper and 3-D structure of model was established with Pro/Engineering.
And numerical simulation method was used in order to study the characteristics of electrostatic fabric precipitator.
Numerical Model In this simulation, a segregated solver was used and the k-ε model was chosen.
The numerical simulation method was used in the calculation of electrostatic fabric precipitator.

Simulation and optimization of turbine blade Shape modification Fang He Xinyu College of Mechanical Engineering 2666 Sunshine Avenue ,high tech Zone of Xinyu,Jiangxi 338004 , People’s Republic of China 514149150@qq.com Keywords:hydroturbine;runner;leaf blade shape modification;CFX;Simulation optimization Abstract:Thickness thinning repair analog simulated using fluid mechanics research tool ANSYS-CFX of mixed-flow turbine runner blade，Through the three-dimensional flow and numerical calculation and analysis of energy distribution on the blade after featheredging.
Introduction This paper used fluid mechanics research tool ANSYS-CFX to cut mixed-flow turbine runner blade thickness thinning for analog simulation.
The mainly is carries on the blade thickness thinning and analysis blade energy or speed. 2 The results of calculation and analysis of numerical simulation of turbine blades In the optimization scheme have been determined, the main numerical on runner blade from the following aspects: the simulated blade speed, blade pressure energy , kinetic energy and total energy.
Finally, the runner blade is thin 0.5cm can obtain numerical performance is relatively good simulation results. 2.1 Analysis and simulation results of velocity distribution From the velocity distribution figure 1 and figure 2, The relative speed of the blade surface in the import side is relatively low, to the outlet side of blade ,especially close to the lower ring, The velocity of the fluid change is relatively large, velocity Uniform distribution,Near the top of blade,The fluid velocity flow better.The working surface of blade inlet flow better, no flow separation, vortex phenomenon; the inlet velocity near the blade ring surface is better; in the back of the blade, no obvious flow separation, transverse flow, inverse flow ,secondary flow, flow in good condition, only near the imported 1/6 around the lower ring ,there is a low zone of velocity .the overall flow condition is good, and the design point is consistent, that leaf thickness thinning 0.5cm it is quite reasonable.
References [1] Chun mei Liu: Analysis of the internal flow in Francis turbine runner CFD [D] XiHua University.2006 [2] Wu xiaojing,liu shuhong,wu yulin.Helicity Application on Analyzing Vortex Rope in Draft tube [C] IAHR Symposiun,Yokohama,2006 [3] Thomas Vekve .The influence of the pressure gradient on draft tube flow at part load operation[C] IAHR Symposium,Stockholm-Sweden,2004

Computer Simulation Verification Flow Simulation is a software fully integrated in SolidWorks for computing fluid (gas or liquid) flows inside and outside SolidWorks models, as well as heat transfer to (from, between, in) these models due to convection, radiation, and conduction with a proved computational fluid dynamics (CFD) technology.
Fig. 2 shows the information revealed in the solver of the simulation.
Fig. 4 The flow trajectory plot of the simulation.
Fig. 5 The contour plot of pressure distribution in the simulation.
Fig. 6 The vector plot of pressure distribution in the simulation.

Development of CAD-to-CAE Model Preparation Technology Tetsuyuki Kubotaa, Peter Chowb Hayes Park Central, Hayes End Road, Hayes, Middlesex, UB4 8FE, United Kingdom Fujitsu Laboratories of Europe aTetsuyuki.Kubota@uk.fujitsu.com, bPeter.Chow@uk.fujitsu.com Keywords: CAE, CFD, CAD, HPC, Simplification, Numerical simulation Abstract.
Introduction Recently, numerical simulation technologies have been generalized to design and develop industrial products associated with the growth of simulation technologies and computational power.
The procedure of simulation is as follows. 1.Geometry Creation – creating geometric model in the spatial domain.
Analysis – use computer system to undertake simulation and analysis.
When bumps on solid body are small enough, influence from them is negligible to result of numerical simulation, especially fluid dynamics analysis.