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This study theoretically analyzes the influence of recess shape on the bearing pressure characteristic according to Computational Fluid Dynamics (CFD) and lubricating theory.
The simulation results indicate that an improved characteristic will be affected by recess shape easily.
Numerical simulation results and discussions In order to study the recess shape impacting on the film pressure field, when the inlet flow capacity is 0.098 kg/s, rotation velocity is 6rpm and choose viscosity of lubricating oilequals 0.0288 Pa·s, densityequals 880 kg/m3, the recess shape assign respectively rectangular recess, sector recess, ellipse recess and I-shaped recess, the three-dimensional pressure fields are obtained in CFX to be as Fig. 5, Fig. 6, Fig. 7, Fig. 8, Fig. 9, Fig. 10, Fig. 11, Fig. 12.

One of the key problems in numerical simulation is to establish the structural model of large-span structures, which decides complicity of the process and accuracy of the final results.
As seen from figure 4, the simulation results are closer to those from ANSYS at wind azimuth 15° than 45°.
,Reveh, D.E., Development of unsteady aerodynamic state-space models from CFD based unsteady loads.

Han[4] released a new method that overcomes the computational difficulties associated with three-dimensional effects by using two-dimensional CFD and a neural network, and it was applied to the shape optimization of cut-off in a multi-blade fan/scroll system.
The studies above mainly focus on the fan blade optimization, and the influence of single impeller structural parameter on the fan performance, rather than establishing a simulation model with comprehensive effect of the key parameters.
The functions and commands above are encapsulated inside the program, and users only need to give the parameters required to get the corresponding numerical simulation model results.

As well as, simulation results demonstrate that the modified Frehlich spectrum and the modified von Karman spectrum have little difference on the beam spreading for partially coherent beam propagating in atmospheric boundary layer turbulence.
Simulation The curve in Fig.1 show that beam spreading radius w varies with initial emission radius w0 when propagation distance and initial zenith radian are fixed.
The simulation demonstrates that Eq. (14) represents well the w variation with z and θ, namely with the propagation height zcos(θ) and the two curves respectively derived from the modified Frehlich spectrum and the modified von Karman spectrum are very close.
Simulation results demonstrate that the modified Frehlich spectrum and the modified von Karman spectrum has little difference on the beam spreading for partially coherent beam propagating in atmospheric boundary layer turbulence in slant path.
CFD simulation of the atmospheric boundary layer: wall function problems .Atmospheric Environment, (2007), (41) :238~252

In order to study the effect of using waste plastic as an alternative fuel in the fluidized-bed calciner, we performed a computational fluid dynamic (CFD) analysis.
To verify the validity of the numerical simulation approach used in this work, the simulation results were compared with the field data.

On the base of numerical simulation and theoretical analysis, the flow field of a conventional single-tangential-inlet Hydrocyclone and a newly put forward axial-symmetry double-tangential-inlet hydrocyclone were contrasted.
In the research, numerical simulation and theoretical analysis are employed.
The CFD software Fluent 6.2 is used.
In the numerical simulation mode, the 3-D mole is meshed with structure grids, Reynolds stress model is selected as turbulence models and Mixture model is selected as multiphase model.
Fig .8 Radial Velocity curves the Hydrcyclone A Fig .9 Radial Velocity curves of Hydrcyclone B The numerical simulation ruselt above shows that the inlet structrue of the hydrocyclone has an important influence on the radial velocity.

Wołosz, Pneumatic pulsator design as an example of numerical simulations in engineering applications.
[5] OpenFOAM® - The Open Source CFD Toolbox, www.openfoam.com, accessed: 2013-03-04
Mahesh, Direct Numerical Simulation: A Tool in Turbulence Research.
Mansour, Direct numerical simulation of turbulent channel flow up to Re= 590.
Pozrikidis, Fluid Dynamics: Theory, Computation, and Numerical Simulation.

Numerical Simulation of SiO2/Water Nanofluid Heat Transfer and Turbulent Flow in Rectangular Obstacle Channel Fatima-Zahra Barhdadi1,3,a*, Ikrame Jamal1,b, Kamal Amghar1,2,c, Salah Daoudi1,d 1Laboratory of Mechanics and Energy (LME), Faculty of Sciences, Mohammed First University, Oujda/60000, Morocco 2Department LSIA, National School of Applied Sciences, Abdelmalek Essaâdi University, Al Hoceima, Morocco 3Ecole Supérieure d’Ingénierie Appliquée et Innovation Privée, Oujda, 60000, Morocco afatima-zahra.barhdadi@ump.ac.ma, bikrame.jamal@ump.ac.ma, c k.amghar@uae.ac.ma, dSalah.daoudi@ump.ac.ma.
As shown in Fig.1, a two-dimensional (2D) simulation was chosen to analyze the turbulent flow in a horizontal channel with obstacles placed in the center of the channel.
The incompressible Navier-Stokes equations are used to solve the problem and are expressed as follows [24]: Continuity equation: (1) Momentum equation: (2) Energy equation: (3) Where Γ : molecular thermal diffusivity Γt : turbulent thermal diffusivity The standard k-ε model is a popular choice for CFD simulations because of its ability to provide good quality results at a relatively low computational cost.
For the numerical simulation, a mesh study was carried out with the aim of balancing the quality of the results obtained with the CPU time.
Al-Manea, Convective heat transfer analysis in turbulent nanofluid flow through a rectangular channel with staggered obstacles: A numerical simulation, Int.

Chytkara Slyk and numerical simulation and experimental extrusion of different sections studied.
But here in less than a simulation software has been [1].
They simulated three-dimensional circular aluminum profiles using CFD technology.
Conclusions Simulation study in this process was successful and shows the possibility of process simulation software and ANSYS is SuperForge.
The results also showed strength in simulation theory Anand is hot extrusion process.

Then, a simulation of fluid flow in the mixer is implemented by using Ansys Fluent and Fluent CFD software to determine the appropriated parameters.
Simultaneously, the simulation will check the flow, the flow velocity of the mixture to ensure the mixing time and the air homogeneous level.
Principle diagram of the central controller Results and Discussion Simulation of biogas mixer design.
In which, the simulation input condition of the used fluid is the air at 250C whose the parameters are given in Table 4.
Simulation prototype design Figure 13.