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According to the main results [6], based on experimental data and Computational Fluid Dynamics (CFD) studies, it was concluded that it was possible to combine in a single device, high separation efficiencies with low Euler numbers (Eu).
According to experimental studies and CFD simulations, it was found that the filtration associated with the hydrocycloning was a beneficial phenomenon, because it decreased the Euler number and the cut size diameter (d50), when compared to the conventional H11, under the same operating conditions.
The experimental results of Euler number for hydrocyclones H11-A and H11-B are consistent with the predictions [12], made from the CFD techniques.
Such behavior is in agreement with the CFD literature predictions, which showed that a rotating feed suspension could reduce the tangential velocity gradients within the hydrocyclone, responsible for the separation of a significant portion of particles.

Numerical Simulation Model of Hydrostatic Center Rest.
Three-dimensional geometry model of the oil film of two oil pads is introduced into the pre-processor of ICEM CFD to generate mesh.
The static pressure and the total pressure are computed numerically by using ICEM CFD.
When spindle rotating speed is 510r/min and carrying pressure is 2.1MPa, the relationship curve between lubricating oil dynamic viscosity and lubricating oil film dynamic pressure of heavy constant flow hydrostatic center rest can be obtained by using ICEM CFD, which is shown as Fig. 10.
In order to study the influence of inlet flow rate on the oil film dynamic pressure of heavy constant flow hydrostatic center rest, the inlet flow rate is assigned respectively 0.14kg/s, 0.16kg/s, 0.18kg/s, 0.2kg/s, 0.22kg/s, 0.24kg/s, 0.26kg/s and 0.28kg/s, and lubricating oil film dynamic pressure is computed numerically by using ICEM CFD.

The desire of computational fluid dynamists, CFD has long been the possibility to use a unique mathematical formulation together with a unique numerical method to examine the variety of thermo fluid dynamics problems [19, 20].
However, a high capacity equation solving computer software package (EES 1994) has become available, working within personal computer based Windows employing CFD to solve second law problems [9].
B bTa , (8b) where E E t a )( 1 δ = , w w t a )( 1 δ = , ap=ae+aw and b= tSt T Q gen∆+∆ , In this case, the differential equation (8a) is solved by algebraic method of equation (8b), which is the beauty of CFD.
Vallury. 2nd law analysis of sage and CFD- ACE+ Models of MIT Gas Spring and Two-Space Test Rigs, First Year Report, NASA Grant NAG3-2811 Providence, Cleveland, Ohio. 2004
Integration of simulation technology into undergraduate engineering courses and laboratories, ASEE 2003 Annual Conference, Nashville, TN.

Numerical simulation.
The numerical simulation was performed using FLUENT, a commercial computational fluid dynamics (CFD) code, to compare simulation results to the test data.
Simulation model Fig.1 shows the dimensions of one heat regenerator used in a HiTAC regenerative burner.
Fig.1 shows the three-dimensional zone in the simulation.
In this study, all residual errors of the degree of freedom were set by , which is satisfactory for simulation analysis.

Computational Fluid Dynamics (CFD) was used to analysis flow state and sine camber of tube influence on the heat transfer and flow, a correlation equations of Nu (Nusselt) =f(Re) is given.
Based on the above research background, this paper applied computational fluid dynamics (CFD) technology in research of convective heat transfer and flow resistance characteristics in sinusoidal corrugated tube.
Fluent, the commercial software of CFD was used to simulate the convective heat transfer and flow resistance characteristic around sinusoidal corrugated tube with different sine camber e.
(5) Numerical simulation and the theoretical analysis with field synergy principle indicate that the effect of field synergy is poor in the smooth tube, which is opposite to that in sinusoidal corrugated tube.

The accuracy of inclusion motion simulation was determined by the turbulence model and boundary condition.
Solution Procedure The CFD software CFX was used to solve the continuity, momentum, and turbulence equations.
Results and Discussions Computer simulation result.
Comparison of simulation result and experiment result.
And the simulation result was compared with the experiment result to evaluate its reasonability.

Kim (2004)[7] tackled CFD modeling of realistic 4×4 and 5×5 fuel rod channels, showing the power spectrum of the flow.
This was followed by a detailed, fundamental validation of CFD for calculating the forces on a tube in high Reynolds number cross-flow using LES by Kim and Mohan (2005)[8].
In order to easy simulation, if the outer fliud radius is appropriate, the inner fluid can be considered as the additional mass.
Numerical simulation of cross flow induced fluidelastic vibration of tube arrays and comparison with experimental results.
Prediction of unsteady loading on a circular cylinder in high Reynolds number flows using Large Eddy Simulation.

Research Methods FDS+EVAC is a computational fluid dynamics (CFD) software codeveloped by the United States National Institute of Standards and Technology and the VTT Technical Research Centre of Finland.
The simulation case design is shown in Table 2.
Simulation case design Case No.
Evacuation simulation for the base case Table 3.
(Yan) Chen,“Numerical determination and treatment of convective heat transfer coefficient in the coupled building energy and CFD simulation ,” Building and Environment, pp.1001-1009,2005

This paper uses the simulation technology of computer numerical simulation, combined with the GAMBIT numerical modeling software and ANSYS structure analysis software, we carry out an in-depth research and analysis on the stability of engineering simulation, at the same times establish the mathematical model of ANSYS numerical simulation displacement stability and design the ANSYS command stream program algorithm.
Through the numerical simulation, we get the displacement of slope in the Y direction and Z direction.
The numerical simulation provides the theory reference for the safety of mining engineering.
So in future studies, we should consider the actual model of the mine and the numerical simulation under the complicated stress conditions, so as to achieve the higher simulation accuracy values.
Numerical simulation technology based on ANSYS ICEM CFD and CFX [J].

Simulation and Experiment of Temperature Field in Catalytic Combustion Furnace of Natural Gas Longfei Yan1, a, Shihong Zhang2,b 1,2,Beijing Key Lab of Heating, Gas Supply, Ventilating and Air Conditioning Engineering, Beijing university of Civil Engineering and Architecture, China a315230892@qq.com, bshihongzhang@bucea.edu.cn Keywords: catalytic combustion; temperature field; simulation Abstract.
The physical model of natural gas catalytic combustion furnaces was established, furnace was simulated using ANSYS software, and verifying the validity of the simulation through the experimental test data.
Natural gas catalytic combustion furnace is a furnace driven by the natural gas catalytic combustion furnace type IX, in order to determine the concrete placement of firing ceramic and whether meet the requirements of firing ceramic, furnace modeling simulation and tested by experiment, comparative analysis the law within the furnace temperature field .The physical model of furnace was established, concluding that law of internal temperature field in furnace through the experimental test data The Simulation of Temperature Field in Catalytic Combustion Furnace The CFD commercial software ANSYS was used in this simulation in this paper, internal temperature field for furnaces driven by natural gas catalytic furnace was simulated Simulation modeling and parameter The furnace height is 1.8m, length 1 m, width 0.88m, side connections catalytic combustion furnace type IX (3 catalytic furnace), joint welded by iron plate with 12cm width , Wall of furnaces with asbestos insulation layer which
Fig.6 Experimental apparatus Comparison data as shown below: Fig.7 Measuring hole 1 simulation and test data Fig.8 Measuring hole 2 simulation and test data comparison comparison Fig.9 Measuring hole 3 simulation and test data Fig.10 Measuring hole 4 simulation and test data comparison comparison As can be seen by comparison, the simulated temperature is higher than the actual temperature about 100 degrees, but deviation is small compared with the high temperature of furnace chamber, which shows that the simulation results is feasible.
Conclusion The simulation results show that the temperature of the furnace cavity reach the temperature of the firing clay basically, the placement should be in where the temperature is higher, Such as the upper portion of the furnace chamber, the outlet of the furnace, or the place where hot air flow.