Search results

CFD Solver and Boundary Conditions.
Two simulation groups were performed; i.e. the ‘cold’ flow simulation for quantifying total pressure loss and the ‘warm’ flow simulation for evaluating pin-fin and end wall heat transfer, corresponding to the experiments.
Figure 2a gives CFD predicted friction factors at each Reynolds number, in comparison with those from experimental measurements.
Comparison of CFD prediction against test data.
Figure 3 illustrates the variations of CFD predicted HTC along the pressure side end wall in comparison with test data.

Simulation of drag reduction mechanism of the wing tip Liu Xiaoleia, Liu Xueweia, Song Liminb, Jin Dunc, Li Yuankaic Aviation University of Air Force,Changchun 130022,China alisong_2@126.com, bliminsong_2014@163.com, climi_2014@sina.com Keywords: Computational fluid dynamics; Winglet; Drag reduction mechanism Abstract: In this paper, the international common CFD software were installed on the flat three-dimensional optimal design wing tip and winglet wing for three-dimensional simulation, and use the results post-processing software post-processing.
The winglet was conducted analog computation by general CFD simulation software, and related processing also was carried through. 1 Simulation on the three-dimensional wing and the straight wing of winglet installation 1.1 Establishment and discrete model In order to coordinate the RAE2822 airfoil standard construction, the coordinate of wing root, the turning, wing tip are established, and on the basis, the airfoil profile was also established.
Fig.1 The surface grid of straight wing Fig.2 The surface grid of wing with winglet 1.2 Calculation results The widely used CFD software FLUENT was made use to carry on the simulation computation.
Fig.5 The  wing tip streamlines of straight wing on Ma=0.65 a=3° Fig.6 The  wing tip streamlines on Ma=0.65 a=3°of winglets wing 3 Conclusions Through the numerical simulation and flow imaging processing, the influence of winglet for the wingtip vortex can clearly observed.
Mechaniam of Drag Reduction by Spanwise Oscillating Lorentz Force in Turbulent Channel Flow, chinese journal of theoretical and applied mechanics ,Vol.43(4), 2011, P.653-659 [6] Shi Wei-ping, Li Xiu-wen, He Peng, Lattice Boltzmann Simulation of Drag Reduction for the Flow around Circular Cylinder in Electromagnetic Field, Journal of Jilin University:Sci Ed, Vol.49(4), 2011, P.575-579 [7] BERGER T W, KIM J, LEE C, et al.

Numerical simulation on the jet characteristics of abrasive jet WANG.
The existing research of jet characteristics of abrasive jet by numerical simulation methods is discussed in the paper, including jet fluidizing and mixing process simulation, jet formation process simulation and jet erosion workpiece simulation.
The existing research of jet characteristics of abrasive jet by numerical simulation methods is discussed in the paper, including jet fluidizing and mixing process simulation, jet formation process simulation and jet erosion workpiece simulation.
Jayanti [7] simulated jet mixing in a cylindrical vessel by computational fluid dynamics (CFD) technique.
Fig.1 The state of fluidization (a) fixed layer; (b) fluidized layer; [12] Fig.2 The fluidization process of experiment and simulation (Left) experiment; (Right) simulated [12] Simulation of the jet formation process Computational Fluid Dynamics (CFD) has become an alternative method to experiments for understanding the fluid dynamics of multiphase flow in the nozzle inner and outer.

Optimizing Leading Edge Structure for Aerosol Sampling Diffuser Baoqing Wang1,a, Shu Yao1,b, Zebei Wang1,c, Wen Yang2,d, Zhipeng Bai 2,e 1College of Environmental Science and Engineering, Nankai University, Tianjin 300071, China 2Laboratory of Atmospheric Chemistry and Aerosol, Institute of Atmospheric Environment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China awangbaoqing@nankai.edu.cn, bmadkon@qq.com, c411173744@qq.com, dyangwen@craes.org.cn, ebaizp@craes.org.cn Keywords: Optimizing Structure, Diffuser Leading Edge, CFD Simulation Abstract.
The diffuser leading edge fluid was conducted using the CFD.
It is suggested that CFD simulation can be useful for improving the optimum the diffuser.
Fig. 1 Schematic diagram of the sampling diffuser Fig. 2 Schematic diagram of the leading edge for diffuser inlet Fig. 3 Schematic diagram of the leading edge for diffuser inlet and outlet Results and Discussions The fluid velocity fields are obtained by the boundary element method for a potential flow and by using the CFD code FLUENT 14.0 (ANSYS Inc.), for solving numerically Navier-Stokes equations for a viscous flow.

The result indicated that the racing loss reduced obviously after fixing baffle-plate equipment, and the CFD simulation results agree well with the experimental results.
The result indicated that the racing loss reduced obviously after fixing baffle-plate equipment, and the CFD simulation results agree well with the experimental results.
At present, the algorithm of SIMPLE series are still applied widely in CFD numerical simulation, which consist of SIMPLE, SIMPLEC SIMPLER and PISO[3].
From analysis results above we can see that the most relative error of simulation results and experiments is 10.2%, the CFD simulation results agree well with the experimental results.
Fig.9 The racing loss of different number of baffle-plate equipment at the rotor speed of 3600r/min Conclusions Aim at high-power hydraulic retarder applied in high-effect combined braking system, CFD simulation analysis was investigated on racing loss with baffle-plate equipment and without, and in contrast with the experimental results.

Simulation of 3D Gas-Liquid Two-Phase Flow Characteristics of Carrousel Oxidation Ditch Y.
Many literatures are about the simulation of oxidation ditches [1-4].
It is essential to include gas or solid in the simulation.
They predicted flow and oxygen transfer characteristic based on CFD.
,Oxygen transfer prediction in aeration tanks using CFD.

azhuying0224@yahoo.com, bwangyangzheda@126.com, ctommewang@yahoo.com.cn Keywords: Averaging Pitot tube, turbulent model, CFD numerical simulation, flow coefficient.
This paper set up the two-dimensional model of the bullet-shaped averaging pitot tube, numerical simulation based on CFD was used to investigate the changes of flow coefficient along with the Reynolds number.
To guarantee the accuracy of the simulation, the grid and the simulation model were investigated too.
Numerical Simulation Grid and Turbulent model.
Pandey, Analysis of the effect of body shape on annubar factor using CFD, Measurement, 35 (2004) 25-32

In figure 3 the numerical simulations of the three different load conditions, 100 kW, 70 kW and 50 kW, are showed from left to right.
Fig. 3, CFD analysis of T100P combustor at different loads.
The simulation at 50 kW greatly overestimates the NO production.
The results of the simulation give description of the phenomenology of these two species to the physical reality.
Malte, 2007, Development and Application of an Eight-Step Global Mechanism for CFD and CRN Simulations of Lean-Premixed Combustors, 2007, ASME paper GT2007-27990

The results of 3D-CAD models are used as the inputs for CFD simulation.
CFD Simulation.
A commercial code (STREAM Version 7) was used in the CFD simulation.
Fig. 8 shows mesh grids, the domain of the CFD simulation, etc.
Boundary conditions for the CFD simulation are summarized in Table 2.

Simulation of Wind Environment around a Commercial Complex Building in Shenyang China Xiaoming Zhang1, a, Bo Li2, b and Xiao Zhang3, c 1Architectural Design and Research Institute of Shenyang Jianzhu University, Shenyang China 2 Shenyang Jianzhu University, Shenyang China 3 Shenyang Jianzhu University, Shenyang China azxm9041@163.com, bbobozhu721@yahoo.cn, c793938254@qq.com Keywords: numerical simulation; wind environment; commercial complex building; CFD.
The accuracy of the computational domain affects the size of the simulation results.
Results and Discussion Simulation results and discussion in summer.
References [1] Li Yang: The Application of CFD Technology in the Analysis of Residential Wind Environment [J].
[2] Fujun Wang: Analysis of Computational Fluid Dynamics – Principle and Application of CFD Software [M].