Search results

In early years, experiment is the only way to research the characteristics of the oscillatory flow reactor, while numerical simulation becomes more a useful method with the rapidly development of the computer technology and computational fluid dynamics (CFD).
The mechanism of mixing in an OFR can be understood with the help of numerical simulation study on the concentration field.
What’s more, it has laid a good foundation for the simulation of reactions to research the concentration field in the OFR.
[13] Li Wei, Hu Xiaoping, Wu Jia, “CFD Study of Flow Fields in an Oscillatory Flow Reactor with Conic Ring Baffles,” Chemical Reaction Engineering and Technology, vol. 23, no. 6, pp. 487-493, December 2007
[14] Wang Fujun, Analysis of Computational Fluid Dynamics-CFD Software Principles and Applications, Beijing: Tsinghua University Press, 2004, pp.116-122

In recent years, with the rapid development of computer technology, make using Computational Fluid Dynamics (CFD) technology simulation water-oil separation hydrocyclone flow field in possible.
More and more scholars have focused on investing internal flow field and complex geometries of hydrocyclone using principle and method of CFD which allow the simulation of very complex flow problems without the expense of experimental setup and measurements.
Numerical simulation Model parameters.
Fig. 2 CFD mesh for the hydrocyclone Results and analysis Fig. 3 reflects the trajectory about the water-oil two phase liquid flowing within hydrocyclone.
Cao, et al, “Numerical simulation of the effects of turbulence intensity and boundary layer on separation efficiency in a cyclone separator,”Chemical Engineering Journal 95 (2003) , p.235–240.

By analyzing simulation results, the influence of the orifice parameters on the performance of the orifice is clear.
The flow pressure distribution of the fixed throttle orifice is shown in Fig.3 according to the CFD calculation.
Fig.7 shows the characteristic curve of the fixed throttle orifice using CFD analysis.
By simulation comparison, it is d1 = 0.21, d2 = 1.6, L = 0.65, θ = 90 ° that the corresponding electro-hydraulic servo valve has the best performance
Simulation of the Pressure Field for Transient Flow Through a Pipe Orifice.

Numerical Simulation of Flow Distribution in the Packed Bed Reactor with the Supply Nozzle Placed on the Sidewall Igor A.
Mathematical model The computational fluid dynamics method (CFD) is applied to calculate the pressure distribution and velocity field in the considered device.
Solution procedure The governing equations (Eq. 2 – Eq. 4) were discretized using the finite volume method and solved using commercial CFD software Fluent.
Song, CFD simulation of the effect of upstream flow distribution on the light-off performance of a catalytic converter, Energy Convers.
Rammoser, Optimisation of catalytic converter gas flow distribution by CFD prediction, SAE Technical Paper 930780 (1993)

Fixture position and Pressure direction indication. 2.4 Computational Fluid Dynamics (CFD) Simulation A Computational Fluid Dynamics (CFD) simulation study were conducted to analyze heat distribution within the designed water atomizer machine during full-capacity operation for aluminum powder production [23, 24].
The configuration shown in Figure 7 was maintained throughout the CFD study.
CFD Domain Size.
CFD Domain Size.
Simulation Results.

Results and discussion Simulations of microfluid driving and stasis were performed using CFD-ACE + software.
The implementation of CFD-ACE + includes a few processing steps.
Next, CFD-ACE-SOLVER is to iteratively solve the equations.
Simulation results can be dealt with CFD-VIEW for graphing and observing fluid dynamics.
Simulation of microfluid stasis.

Some mesh models were established to simulate the effect through CFD software.
Through the simulation by CFD software and testing of prototype, it is proved that this new structure can make traditional wind turbine work well in low speed; turbulence and frequent changes in direction of wind conditions.
CFD software is used to simulate the growth rate of the airflow velocity inside the fluid tube.
The CFD software simulation results are shown in Fig.9 and Fig.10.
Fig.9 Velocity vectors around the fluid tube Fig.10Velocity distributes in middle tube cross-section Results of prototype testing A prototype model has been produced to verify the CFD software simulation results.

Experiment confirmation of CFD study To confirm the result of the CFD method, an evaporative cooling system is established and some experiments are conducted in the laboratory.
The result of the experiment shows that the distribution of static pressure in the inlet-box to the air cooling condenser are in well accordance with the ones from the CFD method.
With the help of the CFD software, simulations of the flow field of coolant gas in the inlet box to the air cooling condenser are carried out.
Cui, Numerical simulation and experiment for the close-loop-self-circulating evaporative cooling system of hydrogenerator stators, Master Thesis of IEECAS, 1999
Tian, Numerical simulation for circulating systems and experimental comparison of the closed-loop, self-circulating evaporative cooling of hydro-generators, Electrical Engineering, pp.127-134, 2004 [6] G.B.

Introduction A main task in Wind Engineering is the simulation of FSI analysis.
They are well suited for data fitting in any multidisciplinary simulation and widely used in different field such as geology, topography, iatrology [10,11].
(a) CSD Mesh: Nnod=861, Nelem=1600 (b) CFD MESH: Nnod=1271, Nelem =2400 Fig.1 CSD and CFD mesh on FSI boundary Based on Eq.13 the analytical solution of displacement on CSD and CFD mesh on FSI boundary can be calculated and the displacement contours are drawn in Fig.2.
(a) CSD Mesh (b) CFD MESH Fig.2 Displacement contours on CSD and CFD mesh of analysis solution The displacement numerical solution of CFD mesh can be calculated based on the displacement analytical solution of CSD mesh using CRBF-FSI method.
(a)ri /lmax=1 (b)ri /lmax=1.5 (c)ri /lmax=2 (d) (ri /lmax=4) (e) (ri /lmax=6) (f) (ri /lmax=8) Fig.3 Displacement contours of fluid mesh for different compactly supported radius The relevant coefficient between the displacement results of analysis solution and numerical solution on CFD mesh and also the solution time for different compactly supported radius are listed in Tab.1.

With the development of computational fluid dynamics (CFD), the simulation of complex flow problems is possible, it just overcomes the weaknesses of the first two methods.
Discrete approximation method, calculated parameters of the observation or testing, researchers’ experience and skills of programming and data use are the three main reasons of CFD errors[1-4].
So choosing the right model and calculation method to simulate the flow of centrifugal pumps for improving the applicability of CFD, continuous improvement of centrifugal pump performance has a very good engineering sense.
And common simulation methods are steady multi-phase and unsteady.
The literatures of steady on the multi-phase simulation and compare with two simulations are rare currently.