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A 17-27-5 type BP neural network model was built, whose sampled data was got by hydrocyclone separation experiments; another 6-30-5 type BP neural network was also built, whose sampled data came from the simulation results of the LZVV of a hydrocyclone with CFD code FLUENT.
According to the same structural parameters, operational parameters and experimental material parameter of hydrocyclone, structural style of hydrocyclone’s LZVV was modeled [2] utilizing commercial CFD code fluent aimed to obtain another group of data sample , then two BP neural network models were built respectively.
Modeling BP neural network model according to hydrocyclone simulation data Dz Lz Fig. 3 LZVV self-defined parameter There are two different areas in hydrocyclone flow field, whose vertical velocity direction is just the opposite.
The LZVV structure [3] shown in fig.3 is obtained by simulating hydrocycle flow field using commercial CFD code FLUENT, whose inner surface is a homologous cone surface.
Separation performance was predicted utilizing the 6-30-5 type neural network and comparative analysis was done between simulation results and the predicted results.

ANSYS as finite element software is used to analyze oil film pressure of hydrodynamic oil film bearing, the stress of bearing bush alloy and the simulation movement of shaft and bearing, and then the reasons of oil film bearing failure and the wear mechanism of bearing bush are illustrated in detail.
CFD model is convenient to establish any type of bearing structure.
An important step of FEM simulation is to discretize the continuous body so as to make the discrete grid be more accurately into a continuous area, and the high-quality discrete grid can ensure the FEM calculating results within error range.
Fig. 1 Distribution of film pressure Fig. 2 Dimensionless load curves Compared with the calculation results of CFD method and Reynolds equation, both results are basically the same, but the former seems slightly higher than that of Reynolds equation.
The dimensionless load curves are basically consistent, which indicates the validity of the CFD method .

The dynamic characteristics of a hydrostatic and hydrodynamic journal bearing with two arrays of eight holes have been investigated theoretically by the three-dimensional Computational Fluid Dynamics (CFD) models with respect to equilibrium position.
This paper presents an analytical study of the dynamic stiffness and damping of hybrid journal bearings with two arrays of eight holes using a three dimension CFD model which associated with displacement disturbance and velocity disturbance through a UDF (User Definition Function) program.
CFD model of the bearings A 3-D simulation model is developed using the CFD package FLUENT 6.3.
The dimensions of the journal bearing with two arrays of eight holes used in this simulation are: diameter 30mm, bearing clearance 20μm, length to diameter ratios 0.4, orifice diameter 0.6, eccentricity 0.1, as shown in Fig.1.
Conclusions The dynamic characteristics of hybrid (hydrostatic/hydrodynamic) journal bearing with two arrays of eight holes are analyzed theoretically by the CFD approach under the action of displacements disturbance and velocity disturbance.

The soot model integrated with the new auto-ignition models is then applied in multidimensional simulations.
The most recent approach is based on the laminar flamelet concept, solving so-called Representative Interactive Flamelets (RIF) on line to the CFD (Computational Fluid Dynamics) code.
The latter approach is the most detailed, but time consuming, and might be more difficult to incorporate in existing CFD code.
Next, the results of the simulations and the measured data are compared.
Figure 1 shows the computational grid used in the simulations containing 204,000 cells.

A three-dimensional grid and the realizable turbulence model are used in this simulation.
In this paper, a three-dimensional computational fluid dynamics (CFD) model has been developed to simulate the airflow characteristics inside the untwisting chamber of the pneumatic splicer and, based on this model, the principle of yarn untwisting is discussed. 1 Numerical Simulation Figure 1 shows the geometry and dimensions of the computational domain of the pipe.
In this simulation, the Cartesian coordinate system is adopted.
The results of the simulation have confirmed the principle of yarn untwisting proposed by the pneumatic splicer makers.
[3] Zhou Jianheng，Qin Pengfei．The CFD Technology for Pneumatic Splicer Virtual Product Development [J] ．Journal of Donghua University．2004,30(1)：49-52

This paper then conducted simulating computation through computational fluid mechanics (CFD) theory and Fluent software, and obtained the size of the monitoring points of the two typical rearview mirrors, static pressure chart, motion pattern and turbulent kinetic energy distribution diagram, and sequentially analyzed the reason for more noise of the mirror 2.
Firstly, obtain the solution through stable k-w model, obtain the basic information of the flow field, and provide initial flow field for the large-eddy simulation computation.
Table 1 Solving conditions of the steady realizable model Boundary Location Boundary Conditions Set Value entrance of computational domain entrance 100km/h exit of computational domain exit Press-outlet computational domain and floor wall face Wall top surface and side of computational domain wall face Wall 3 Analysis result of numerical simulation 3.1 Wind tunnel test and CFD simulation benchmarking In order to prove the correctness of the simulation method, measure and compute the SPL of the receiving point as the wind speed of the wind tunnel test reach to 100km/h, and compare it with the spectrogram obtained from computing simulation.
trial simulation trial simulation trial simulation trial simulation point 8 point 7 point 6 point 5 trial simulation trial simulation trial simulation trial simulation point 12 point 11 point 10 point 9 Fig. 4 Comparison chart of the monitoring points prototype of the rearview mirror experiment and simulated frequency spectrum It can be seen from the above figure that the experimental and simulated noise values are approximate, thus the simulation method is proved to be correct.
Large-eddy simulation is applicable to the numerical simulation of wind noise. 3. the flow line flowed through rearview mirror 1 is more disordered than that of the mirror 2, and the rear noise of the mirror 1 is higher than that of the mirror 2.

Section 3 stated simulation assumptionsfor theexistingscenarios.
This report adopted two simulation techniques: Zonal Airflow Modelling technique and Computational Fluid Dynamics (CFD) approach.
Assumptions made for computer simulation Building construction.In simulation model, building fabric was set to be default value in IES.
Accumulated hours of wind speed of Manchester, UK Other assumptions.Generally, MacroFlow simulation results utilized as boundary condition for CFD, after conducted results from MacroFlow, CFD simulation was then carried out.
MicroFlo (CFD) User Guide 6.0.

Here, we aim to demonstrate and analyze the gas film force based on simulations.
Using the open-source CFD software, OpenFOAM, a user-made C++ library was developed by authors to realize the dynamic updating of mesh and velocity on bearing surface.
Simulation Result and Discussion Our simulation results are present in term of dimensional quantities simply, and the load capacity of bearing is evaluated by the time-average film force per unit bearing surface measured in Pa.
The physic properties of air used as bearing medium in our simulation are listed as Table 2.
The film force increase was demonstrated and analyzed by means of numerical simulation.

Methodology The Computational Fluid Dynamics (CFD) computer code can be used as a numerical analysis to solve the governing equations.
In CFD, the fluid flow can be predicted through arbitrary geometries that giving solution of flow speed, pressures, flow pattern and etc.
The simulation is defined by axial and tangential velocity with the various SN and Re.
Promvonge, Numerical simulation of 3D turbulent isothermal flow in a vortex combustor.
Prediction of strongly swirling flow within an axial hydrocyclone using two commercial CFD codes, Chemical Engineering Science 62 (2007) 1619-1635

Resource requirements: Apart from the usual resources such as lecture notes, bibliographies, journal articles, various data sources (e.g., ESDU data), materials from Federal Aviation Regulations (FAR) and Civil Aviation Safety Authority (CASA) and so forth, the advanced design project also requires CAD/CAM, CFD and Wind Tunnel and Flight Simulation facilities.
Fig.1: CATIA generated view of SS-07 There was, however, difficulty in obtaining reliable CFD and wind tunnel data at the very low speed of MASD speed.
During the CFD analysis, the k-epsilon standard, RNG and Realizable turbulence models were used to determine the lift and drag coefficients between 0-8 degrees angle of attack.
This was determined from the flight simulation as being due to gyroscopic forces generated by the fan.
Conclusion It has been demonstrated that the advanced project study concept can be successfully applied in aerospace engineering design through a combination of theoretical calculations, numerical (CFD) and physical experimentation (Wind Tunnel) and flight simulation (X-Plane) studies.