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This paper presents a model for the jet formation process, CFD simulations are carried out for the prediction of flow pattern in a nozzle with abrasive suspension slurry jets using the discrete phase model.
A computational fluid dynamic tool has been selected for the simulation of the whole machining flow field and for the simulation of the particle trajectories and their impact on the nozzle walls.
A series of CFD simulations were performed.
So the CFD model can be used instead of the experimental work to determine the nozzle efficiencyη(The nozzle efficiency is defined as the value that the total pressure at the exit divided by the total pressure at the exit) through simulations at different pressure setting for different geometries, and decreasing the need for experimentation.
[11] Benedetto Bozzini et al: Evaluation of erosion–corrosion in multiphase flow via CFD and experimental analysis.

CFD simulation and wind tunnel tests are performed on a kind of commercial truck, to study the influence of the cab shape and different kinds of guide cowls on aerodynamic drag, and the impact mechanism was also analyzed.
CFD Simulation Scheme In this paper a medium-duty van shown in Figure1 is regarded as the study object.
a) roof fairing b)roof fairing with guide vanes Fig.7 Two kinds of fairings The aerodynamic drag coefficient gained from CFD simulation , was shown as Table 2.
Table 3 Aerodynamic drag versus between CFD simulation and test scheme CFD simulation test relative error new cab shape 0.661 0.695 4.89% old cab shape 0.807 0.831 2.88% roof fairing 0.589 0.638 7.68% roof fairing with guide vanes 0.583 0.629 7.31% The test shows that, the aerodynamic drag coefficient of new cab was 16.3% as low as the old shape, which showed that changes on the modeling have great influence on the aerodynamic drag coefficient.
What could be found from comparison of CFD test and numerical simulation of aerodynamic drag coefficient is : 1) model wind tunnel test results was similar to simulation results in CFD, and the maximum relative error of aerodynamic drag coefficient of was less than 8%,which indicated the reliability of CFD simulation; 2) the aerodynamic drag coefficient of the new and old styling had large difference, and drag reduction effect was obvious; 3) the aerodynamic drag coefficient of roof and roof fairing with guide vanes have appeared significant difference from test and CFD, illustrating drag reduction effect of the side fairing.

The results of simulation were presented using Commercial CFD program.The CFD simulation can provide detailed distributions of air flow and temperature within data center. [2] applied CFD analysis to show rack inlet temperature and flow distributions for a different height of data center. [3] compared CFD results of two different perforated tile layouts, a traditional and a guard tile arrangements. [4] compared CFD results with measurements of rack inlet temperature using fan boundary conditions at the rear of racks. [5] presented results of a CFD analysis of the combination of overhead airflow distribution and raised floor distribution.
The CFD simulation is used to provide a complete 3-dimensional profile of the temperature and flow within the system.
Results and discussions Validation The results of the CFD simulation in data center were reported.
Correlation for raised floor air conditioning system design The results of the CFD simulation at various conditions in data center were reported.
Conclusion Numerical simulation using the commercially available CFD software Fluent can predict turbulence air flow withinthe data center.

In each stage suitable means are utilized to make sure that ceramic roller kiln simulation is even more practical.
Uniform design, DEPSO algorithm and CFD are used in this paper.
And the numerical simulation of CFD technique is selected as an appropriate method according to the actual kiln thermal characteristics and design experience.
The different results under different working conditions through adjusting different parameters are obtained and the simulation by　parallel-DEPSO-CFD techniques in order to instruct the production.
References [1] Qin Xiangge, Three-dimensional simulation sintering of ceramics, Materials science Forum, 2005(5),pp.1287-1290

CFD-Based Visualization Research on the Rotation of Hydraulic Slide Valve Spool YUAN Bin1,a, JIANG Zhu2,b 1State key Laboratory of Astronautic Dynamics, Xi’an 710043, China 2School of Energy and Environment, Xihua University, Chengdu 610039, China a397470723@qq.com, bhill5525@163.com Keywords: Hydraulic slide valve; Spool; Rotation; CFD Abstract.
Geometric Model of the Slide Valve The numerical simulation of three-dimensional turbulent flow in the hydraulic slide valve must be established on the basis of physical model and calculation model [4].
Mesh Generation and Calculation 3.1 Mesh Generation The three-dimensional CFD slide valve model is established and meshes are generated in the fluid analysis software.
The total torque on the spool axis can be obtained through CFD numerical calculation, as shown in figure 5.
Research on numerical simulation method of three dimensional turbulent flow field based on SIMPLE algorithm [D].

The methodology employed in achieving this investigation involved: Acquisition of experimental data, CFD modelling and simulation of various flow scenarios to investigate multiphase flow behaviour.
Solver parameters and stopping criteria was specified and the simulation was run.
Figure 13: Pressure gradient plot for experimental and CFD results in upward-inclined pipe It was clearly observed that the pressure gradients from CFD simulations were smaller than those recorded in experiments from literature for corresponding superficial gas and liquid velocities.
Liquid hold-up investigation from the CFD simulations revealed the effects of inclination and superficial liquid and gas velocities on values obtained.
Horizontal well performance flow simulation cfd-application.

Griffithsb School of Metallurgy and Materials, University of Birmingham, UK B15 2TT adjb988@bham.ac.uk, bw.d.griffiths@bham.ac.uk Keywords: Simulation, Inclusions, CFD, DEM Abstract.
The computer simulation was created by a combination of Computational Fluid Dynamics (CFD) and Discrete Element Modelling (DEM), to try to predict the agglomeration characteristics of inclusions in liquid Al alloy in a launder system.
A combined CFD/DEM (Discrete Element Modelling) approach has been used to study fluidized bed behaviour [6].
With collisions turned on the simulation was around ten times slower with 0.382 seconds of simulation in the same time period.
Guo, A Coupled DEM/CFD Analysis of die filling process, Thesis, Birmingham University, 2010

CFD Analysis of Hydrodynamic Pressure Distribution in Non-Newtonian Oil in Journal Bearing Lubrication Gap Adam CZABAN Gdynia Maritime University, Morska 81-87, PL-81-225 Gdynia, Poland aczaban@am.gdynia.pl Keywords: journal bearing, hydrodynamic pressure distribution, CFD, Ostwald–de Waele lubricant.
Simulations were carried out by using the commercial software ANSYS Academic Research CFD for fluid flow phenomenon (Fluent).
The simulations concern bearing lubricated with oil which has viscosity properties as Shell Helix Ultra AV-L, investigated in the paper [3].
Summary Nowadays CFD software can be used to investigate a variety of phenomena.
Descombes, CFD model for turbocharger journal bearing performances, Applied Thermal Engineering 31 (2011) 811–819

About 2750 iterations were used for the simulation purpose.
Simulation and discussion Creating the model: Pre-processing stage Table 1 Vehicle segmentation.
Energy equation is used for the simulation because the flow is compressible and also idea gas equation is used.
Setting and , the simulation is proceeded with a maximum number of iterations 5000.
Then the simulation will stop.

Indoor comfort parameters such as temperature and airflow rate were simulated by a CFD tool.
CFD simulation.
A CFD solver package, Fluent/Uns 5.3 [18] was used to perform all the CFD computations.
CFD simulation.
Fig 10 and 11 show the temperature profile and air velocity profile from CFD simulation for third modification on the cafeteria layout.