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Research on the Generation of Two-dimensional Fitted-body Grid by Adjacent Boundary Nodes Sliding Method Zhanrong Feng*1, a, Lixia Wang2,b and Junhua Cui3,c National Defense Key Discipline Laboratory of Light Alloy Processing Science and Technology, School of Aeronautical Manufacturing Engineering, Nanchang Hangkong University, Nanchang, Jiangxi, 330063, P.R.China afengzhanrong@hotmail.com, bwlxqwert@hotmail.com, ccjhllh@163.com Keywords: CFD; body-fitted grid; orthogonal property; Adjacent Boundary Nodes Sliding Method Abstract.
A solid base is provided for the subsequent Computational Fluid Dynamics (CFD) calculation.
Introduction The generation of grids plays a major role in Computational Fluid Dynamics (CFD) calculation and fluid-particle modeling.
A solid base is provided for the subsequent Computational Fluid Dynamics (CFD) calculation.
A method to generate body-fitted grids orthogonally and the numerical simulation of two-D flow fields[J].

Effects of intake pressure difference on the flow near valve seat in diesel engine using three dimensional computation Hongmeng Li1, a, Guoxiu Li1, b, Yusong Yu1, c,Ronggang Gao1, d, Peng Zhao1, e and Ye Yuan1, f 1School of Mechanical and Electronic Control Engineering, Beijing Jiaotong University, Beijing 100044, China a11116350@bjtu.edu.cn, bgxli@bjtu.edu.cn, cysyu@bjtu.edu.cn, d10121593@bjtu.edu.cn, eemailzp@163.com, f10116322@bjtu.edu.cn, Keywords: diesel engine; intake port; discharge coefficient; pressure drop Abstract：In this paper an extensive CFD simulation of a four-stroke diesel engine is done.
In this research, we set four intake pressure fifferences-10kPa, 50kPa, 100kPa, 150kPa for simulation.
Geometrical model The geometrical models for computation include air inlet pressure stabilizing chamber, intake port, valve seat, valve and Simulation cylinder.
(In Chinese) [2]Yuan-jing Hou.Three Dimensional Simulation for Dual-Intake Ports of Turbocharged Diesel Engine[D]Beijing: Beijing Jiaotong University,2011.
(In Chinese) [3]AVL fire Version 2008——CFD Solver．2008.6．38-40 [4]DurbinP.

H.Jin [10] calculated the axis force by CFD method.
This paper used the CFD numerical method, and calculated the numerical value of the TTCP wrap-around fins and the planar fins.
The tendency of the curves are alike and the difference should be smaller than the numerical simulation because the convergence condition.
J: Simulation-Based Optimization Design for Fins of a Missile with Wrap-Around Fins (MS.
Z: Journal of System Simulation, Vol.20 (2008) No.13, p. 3401-3403

They research less on pressure velocity coupling algorithm in numerical simulation.
CFD Numerical Simulation Control equations.
In the case of numerical simulation calculation the selected vector high is 10m.
In order to compare the effect of different pressure velocity coupling algorithm on numerical simulation results, the paper selected three kinds of algorithm in numerical simulation.
[4] Wang, F.J., Computational fluid dynamics analysis of CFD software theory and application [M].

While a number of studies have investigated nonlinear dynamic fluid slosh using computation fluid dynamics (CFD) methods, the integration of a CFD model to the vehicle models has been attempted in only a few studies due to excessive computational demands of CFD analyses and extensive coordinates transformations [5,6].
Moreover, the validity of the CFD models has been demonstrated in a limited sense under nearly linear conditions.
CFD model validity is also illustrated through comparisons with the laboratory-measured data.
Simulations results are presented to illustrate anti-slosh effects of baffles in view of the braking performance.
The simulation results revealed significant interactions between the cargo and the vehicle.

Some previous studies have compared modeling methods and simulation in case studies, for example study of chlorine releases from water treatment works model and physical modeling) [7] or CFD modeling of toxic gas dispersion in the vicinity of complex buildings, structures, and topography (comparison of FLACS model with 2D models) [8].
Therefore these conditions should be explored by physical model experiments and CFD modeling.
A method to identify and quantitatively evaluate such uncertainties would be to carry out a comparative study of CFD models of the same scenario.
Because CFD modeling is expensive and time-consuming approach, the results of the assessments which have been reported above can serve as a basis for preparing such simulations.
Therefore the predictions from common software packages as ALOHA, EFFECTS, should be completed with CFD models.

The result of the pressure drop which is obtained from simulation shows that the pressure drop in rifled tube is about 1.69-1.77 times much higher than pressure drop in smooth tube.
Therefore, the objective of the present study is to use commercial CFD software, i.e.
The use of commercial CFD software for modeling fluid flow is a very useful tool to predict the flow characteristic in the rifled tube.
Processing Fluent® which is one of the commercial CFD processing software is used as numerical solver for the three-dimensional control volume of rifled tube and smooth tube.
Correlations of single phase friction factor In order to obtain correlations of single phase friction factor for the rifled tube in the present study, the obtained data of friction factor from simulation are fitted as shown in Figure 9.

Analysis on Effects of the Blade Wrap Angle and Outlet Angle on the Performance of the Low-specific Speed Centrifugal Pump Wei Li a, Weidong Shi b, Ting Jiang c, Yan Xu d, Tongtong Li e Research Center of Fluid Machinery Engineering and Technology, Jiangsu University, Jiangsu 212013, China alwjiangda@ujs.edu.cn, bwdshi@ujs.edu.cn, cjiangtingdz@126.com, dxuyan15694@163.com, dlitongtong2010@126.com Key words: Centrifugal pump, Blade Wrap angle, Blade outlet Angle, CFD Abstract.
Numerical simulation of the internal flow within the centrifugal pump with the specific speed of 60 at different blade wrap angle and outlet angle is carried out.
This paper is based on the study of the efficient non-overload Submersible Sewage Pump, combined with the traditional hydraulic design and CFD simulation analysis on the flow field [5-7], using the commercial software FLUENT to simulate the flow field and predicting performance of the centrifugal pump with the specific speed of 60 in different blade outlet angle and wrapping angle.
is the flow-head curve, is the flow-power curve, is the flow-efficiency curve Fig.4 External characteristics prediction with different outlet angle is the flow-head curve, is the flow-power curve, is the flow-efficiency curve Fig.5 External characteristics prediction with different wrap angle Conclusions In this paper, numerical simulation of internal flow field and performance prediction of six design methods of submersible sewage pump have been obtained by selecting the amended k-ε two-equation turbulence model using the commercial CFD software Fluent , the results show that: (1) Under the constant wrap angle, the outlet angle and the impeller wake zone is small, the hydraulic performance is relatively good; under the constant outlet angle, that appropriately increase the wrap angle can reduce the solid particles on the impact of the blade outlet, reduce wear and improve the overall efficiency of the pump.

At present, in the study of blood pump rotor system,Zhang Baoning applying CFD for artificial blood pump flow field numerical simulation .It is concluded that the fluid flow in the blood pump is very complex,it also puts forward relevant improvements on the blood pump.Gao Dianrong use Three-dimensional numerical simulation and analysis for the Conical spiral axial flow blood pump.
Simulation experiment indicates that the Conical taper screw rotation speed and axial blood pump should not be too big.Otherwise it will make the flow field become disorder.Yun zhong give the simulation for the impeller and velocity, pressure, stress distribution of the micro axial blood pump rotor system of blood flow which designed by themselves.And put forward the corresponding improvements to its structure.
Mini hemoreliable axial flow LVAD with magnetic bearings: part 2,design description [J].ASAIO Journal,(2002),48(1):p.98-100 [5] Zhang BaoNing ,Zhang YangJun,Wu Yulin,Application the CFD in artificial blood pump flow field for numerical simulation.
[J]Chinesejournal of biomedical engineering,(2002),21(1):p.41-45 [6] Gao DianRong,Wang GuanYi The Three-dimensional numerical simulation and analysis for the fluency of the conical spiral blood pump,[J],Journal of mechanical engineering,(2007),43(9):p.47-50
[7] YunZhong,Tan JianPing,Gong ZhongLiang, the simulation and optimization research about the CFD of the axial blood pump impeller structure.

A study on the Aerodynamic Safety of Skirt Board Structure on Maglev Train Liu Zhiqiang1,a , Ma Weihua1 , Luo Shihui1 1Traction Power State Key Laboratory, Southwest Jiaotong University, Chengdu Sichuan, 610031 a lzqwind533@163.com Keywords: CFD; Maglev Train; Skirt Board; Aerodynamic Performance Abstract: Utilizing CFD, the influences of skirt board structure on high speed maglev train's aerodynamic resistance and the stability under crosswind are studied.
Simulation analyses are finished with maglev train running at speed of 350km/h for both with and without crosswind.
In accordance with the CATIA physical model of the maglev vehicle, the author builds up a neutral surface model: 1) apply shell63 and establishes quadrilateral meshes with shell63 of different thickness; 2) simulates the different thickness of the skirt board structures; 3) conducts simulation analysis on the structure by the approach of the finite element technique.
It can be gained through dynamics modeling, meanwhile taking into account the influence of the aerodynamic force. 3 The skirt board aerodynamics simulation 3.1 The model building and Division of the Model into Mesh The CATIA model of the maglev train is built up and simplified as the vehicle contour shown in the following Fig.3 Fig.3 The CATIA model of the maglev train Use the GAMBIT to divide the simplified model with IGES format into mesh.