Search results

The optimum design of the passageways is then verified using CFD-ACE + software, numerical results indicate that passageway with six helices performed better in the uniform surface roughness than others' do.
While most research has been purely numerical analysis or experimental method, few studies have predicted the polishing results via tests and simulations during AFM.
The active grain density on a medium's surface was also determined by stochastic simulation [13].
In this study, the power law of a non-Newtonian flow is adopted to determine the relationships among viscosity, the shear rate and the temperature using CFD-ACE+ software.
Figure 5 summarizes the simulation results for velocities and strain rates of the abrasive medium in axial direction.

Then the flow field was calculated by using Large Eddy Simulation in the CFD software.
Numerical Simulation Analysis FW-H acoustic analogy method simulation analysis.
The simulation model was built according to the open test environment.
Then the flow field was calculated by using Large Eddy Simulation in the CFD software.
And results of simulation and test results were compared and analyzed

In this paper, the numerical simulation research for the back-feeder is carried out.
Under the working conditions, the consistence of the flow character between the simulation and the experiment proved the practicability of the mathematic and physical models in this simulation.
With the development of the computer technology, the CFD (Computational Fluid Dynamics) has developed rapidly, which provide a low-cost and high efficient design method.
In this work, based on the two-fluid model, the 2D numerical simulation for back-feeder and standpipe is carried out to test the validity of the simulation models.
Figure 1 illustrates the experimental apparatus used in this simulation study.

Kim 2, b 1 Regional Research Center of Pukyong National University, Busan, Korea 2 Graduate School of Pukyong National University, Busan, Korea a inkwan@pknu.ac.kr, bkimjs98@pknu.ac.kr Keywords: Cyclone Dust Collector, CFD, Inlet Velocity, k-ε Turbulence Model Abstract.
Chun & Ohm [2] performed the numerical analyses with several parameters such as vortex finder diameter, effective dust exit diameter, vortex finder length, inlet type and showed that the simulation results with k-ε turbulence model were in good agreement with empirical knowledge.
Gimbun & Chuah [3] showed that CFD(Computational Fluid Dynamics) predicted the cyclone cutoff size for all operating conditions with a deviation of 3.7% from the experimental data.
In this study, we present an application of CFD to predict the dust collection efficiency according to various dimensional parameters such as shape of helical guide vanes, length of cylindrical part, dimension of inner diameter.
Jamal N., Kerry Mc. and Greg R.: The 3rd International Conference on CFD in the Minerals and Process Industries, CSIRO Melbourne, Austrailia(Dec. 10~12 2003), pp.489~492 [5] Fluent Press: Fluent Users Guide, Vol. 14, America(2004) Flow rate (m 3/min) Dust density(g/m 3) 30.0 1.0±0.05 Table 3 Operating conditions for clean efficiency Item New Old Result Ventilation Resistance[mbar] 23.9 24.2 Okay Clean Efficiency[%] 99.91 99.91 Okay Table 4 Performance test results Flow rate (m 3/min) Rate(%) Conditions 30.0 50.0 45.0 75.0 60.0 100.0 75.0 125.0 Temp. : 30±0.5 °C Relative humidity : 50% Table 2 Operating conditions for ventilation resistance

Introduction The immersed boundary (IB) method has become one of the most focused areas of computational fluid dynamics (CFD) in recent two decades.
Cartesian mesh) gives IB methods great advantage in solving flow around complex arbitrary geometries and moving bodies, which could be very cumbersome to solve using currently most developed CFD methods that are based on body-fitting grid, since it’s a severe challenge to preserve the grid quality when the configuration is highly complex (such as insects’ body), or when the object is moving (such as a free-fall plate).
. 5.1 2D cylinder simulation To verify the accuracy of compressible flow simulation, two-dimensional flow past a circular cylinder is simulated at Reynolds number of 3900.
Both the period and magnitude agree well with Ghias’s [5] computational results. 5.2 2D airfoil simulation To evaluate the capability of treating complex boundaries with sharp edges and large length-width ratio, inviscid flow over a NACA 0012 airfoil is investigated.
Lund, A non-body conformal grid method for simulation of compressible flows with complex immersed boundaries, AIAA 2004–0080

Fig.1.The sketch of geometric model The compressible Reynolds-averaged Navier Stokes with one equation S-A turbulence model is solved by Computational Fluid Dynamics (CFD) method.
The comparison of CFD result and the experimental data at Ma=0.73, Re=6.5e+6 and α=3deg. is shown in Fig. 3.
It is found there is a good agreement between CFD simulation and experiments.

And then the finished file exported by GAMBIT is to be imported into the software FLUENT to perform simulation.
Besides it is essential for CFD analysis to create a fluid volume around the model and it is better to make sure that the fluid volume five times size of the model itself to obtain reliable simlation data.
Now it is well prepared for simulation calculation in FLUENT software.
Solution flowchart of FLUENT simulation On the basis of simulation data, lift curve, drag curve and lift/drag ratio curve are displayed below.
In this section, thus its simulation results are more representative and more practically significant.

Then, the distribution of the velocities, shear rates and shear forces of the abrasive flow on the helical gear surface is obtained by CFD module of the COMSOL Multiphysics software.
Simulation and experimental preparation Theoretical basis.
Simulation analysis Using of non-Newtonian fluid model, the distributions of the velocities, shear rates and shear forces of the abrasive flow on the helical surface is obtained by CFD module of the COMSOL Multiphysics software.
By the simulation results, helical gear can be polished effectively by the AFM method.
Experiment part The AFM experiments inspect the processing effect on the helical gear, and test the correctness of the simulation results.

Using ANSYS-FLOTRAN CFD program, the stream field and the temperature field caused by the point heat source, when the two-dimensional enclosure is inclined, has been obtained by a series of procedure, such as model building, meshing, loads applying and equation solving.
Finite Element Method ANSYS software FLOTRAN CFD analysis function is used to analyze two-dimensional and three-dimensional fluid flow tool that can solve the problem of natural convection [5].
Fig.6 Relative curve of the Bridge’s voltage and the tilt angle Fig.5 Structure of sensing element Conclusions Finite element method, using ANSYS-FLOTRAN CFD software to calculate the convection field and temperature filed which caused by point heat source in the two-dimensional sealed cavity in different inclined.
[5] Guoqiang Wang, Practical engineering simulation technology in the practice of ANSYS [M], Xian, Northwestern Polytechnical University Press, 1999, pp. 22.

Using ANSYS-FLOTRAN CFD program, the stream field and the temperature field caused by the point heat source, when the two-dimensional enclosure is inclined, has been obtained by a series of procedure, such as model building, meshing, loads applying and equation solving.
(5) Finite Element Method ANSYS software FLOTRAN CFD analysis function is used to analyze two-dimensional and three-dimensional fluid flow tool that can solve the problem of natural convection [5]
Fig.5 Structure of Sensing Element Fig.6 Relative curve of the Bridge’s voltage and the tilt angle Conclusions Finite element method, using ANSYS-FLOTRAN CFD software to calculate the convection field and temperature filed which caused by point heat source in the two-dimensional sealed cavity in different inclined.
[5] Guoqiang Wang, Practical engineering simulation technology in the practice of ANSYS.( Northwestern Polytechnical University Xi’an,Press, 1999), p. 221.