Search results

To simplify the model, this study use two-dimensional numerical simulation to reflect the conditions inside foam chamber instead.
In this paper, the commercial software Fluent is used to calculate model based on the finite volume method of CFD.
Namely, the coupled field average data from the numerical simulation shows a monotonic trend as the increasing of the foamability.
Therefore, there is a clear correlation between the experimental results and numerical simulations results.
To evaluate the merits of the two models, the numerical simulations of the two models is going to be compared as follows based on the experimental results.

With the improvement of laboratory equipment and development of computer technology, a large number of experiments and numerical simulations have been made since 1970s..
A large number of experiments show that the method of setting elasticity artificially also could get the same result by simulation based on accurate elasticity.
Tab.2 Parameter of PFC2d calculation Particle parameters Calculation step Partice size range （mm） Surface friction coefficient Particle density （kg/m 3） Wears stiffness Tangential stiffness DEM CFD 0.80~12.0 0.3~0.5 2.65E3 1.00E6 1.00E6 2.00E-7 2.00E-5 size（mm） Wall parameter Fluid parameters L H Wears stiffness Tangential stiffness Surface friction coefficient density （kg/m 3） Dynamic viscosity （Pa.s） Fluid cells 300 500 1.00E8 1.00E8 0.3 1.00E3 1.00E-3 1×1 In order to change hydraulic gradient into velocity recognized by PFC2D software, firstly, using the method of getting permeability though porosity obtains the estimating permeability coefficient of permeability of filter layer.
Strack: A Discrete Numerical Model for Granular Assemblies, Géotechnique Vol.29 (1979), p.47-65 [3] Zhang Gang: Researches on Meso-scale Mechanism of Piping Failure by Means of Model Test and PFC Numerical Simulation, Shanghai: Tongji University, 2007 [4] Mindlin, R.D., and H.Deresiewiez: Elastic Spheres in Contact under Varying Oblique Forces, J.APPI.Meeh., 1953，Vol.20 (1953), p.327-344 [5] Cundall, P.
Tanata: Discrete Particle Simulation of Two-Dimensional FluidizedBed, Powder Tech., Vol77, (1993), p.79-87 [9] Kawaguchi, T.: Discrete Particle Simulations of Gas-Fluidized Bed, Osaka University, 2003

The results agree with the results of ANSYS heat flow field simulation.
Research shows that using heat flow field module of ANSYS simulation seepage field to serve research seepage field of well is a kind of general method.
Fig.1 Geometric model of perforation completion Fig.2 Finite element mesh modelof perforation completion This paper uses ANSYS's CFD of coordinating subdivision algorithm and independent subdivision algorithm to divide the mesh.
Fig.11 Electric Simulation Experiment Devic Fig.12 Measured and Theoretical Pressure Distribution Curve The contrast curve of pressures between the numerical simulation and the electrical analog along the direction of the perforation is shown in Fig.14.It can be seen from the Fig.14 that the pressure curve of the electrical analog changes largely at 1~1.2d and leveled off after 1.2d,which is coincident with the temperature field in ANSYS simulating the change law of the pressure field in Fig.14.Thus proves the accuracy of finite element simulation in ANSYS .
(5) The results of electrical analog and the numerical simulation of ANSYS show that using the thermal module of ANSYS to simulate the seepage field can be used as a generic method to study the seepage problems near the bottom of oil and gas wells.

Simulation results show that the introduction of seed bubbles improves the heat transfer performance and suppresses the flow instability simultaneously.
Numerical simulations of bubble growth rate coupled with heat transfer rate was observed to increased significantly by W.
A numerical simulation was performed to analyze the wall heat transfer mechanisms during growth of a vapor bubble inside a microchannel by A.
Figure 2 A section of the computational mesh used in the CFD simulations Figure 3 Comparison of the present work with experiment results [1] Results and discussion Figure 3 shows a comparison of the experimental results obtained by Xu et al. [1] with the simulations.
As can be seen from Fig. 3, the simulation result shows a shift to wall temperature no more than 3 K as compared to the experiment data.

Thermal modeling based on FEA-CFD is carried out by using ANSYS and FLUENT.
The simulation results demonstrate that the innovative tooling design concept can effectively reduce tool temperature away from the extremely high temperature and sensing the cutting temperature at tool tip.
Different mechanical load conditions have been analysed using the simulation software ANSYS to size and optimise the cutting insert.
The simulations showed that a thickness of 1mm of the insert and a wall thickness 0.7mm towards the flank face are sufficient to withstand the moderate mechanical loads.
The simulation parameters used are listed in Table 1.

CFD method, and erosion and cavitation interactive wear test is made on the rotary wear test-bed.
The test by Bao Chonggao etc. studies the performances of electrochemical corrosion and erosion wear of different materials in erosion wear process [1], Pang Youxia etc. analyze wear scar state and development law of sandy water flow around airfoil blade interface with turbulent boundary layer theory[2]；Wu Yulin etc make theoretical analysis and numerical computation on cavitation flow field of 3D turbulent flow of liquid-vapor two-phase flow in turbine runner[3]，Yang Minguan etc make numerical simulation and experimental study on cavitation characteristics in axial flow pump impeller [4]，Wang Jiadao etc study the effect of micro particles and their size on hydraulic machinery cavitation process[5]。
Simulation of cavitation flow in a francis turbine runner[J].
Numerical simulation and experimental study of cavitation in axial-flow pump impeller[J].
Fluent12 fluid analysis and engineering simulation[M].

Numerical simulation of the aerodynamic micro air bearing is conducted to investigate the bearing load capacity.
The CAE part is composed of model import to GAMBIT software, grid mesh and boundary conditions setting, numerical simulation by FLUENT software, parameters optimization.
The micro-air journal bearing load capacity is analysed by numerical simulation by using the commercial software FLUENT.
The Computational Fluid Dynamics (CFD) of the air in the journal bearing is simulated in order to test the bearing load capacity.

Focal panel of hexahedron six side up and down with the air and surface are direct contact will occur convection, can think it is natural convection, another of the focal panel 19 through holes are installed in the hollow shaft axis, the air inside being heated will also occur movement, because of the limited space in the shaft here is very complicated way of heat is bad for simulation, so in this paper that here is, and coke insulation panel on the surface of the natural convection of the convection coefficient in slightly larger take.
Apparently temperature field distribution in fig.4 should be the same as that in figure 3 References [1]REN De-peng    XIA Xin-lin Analysis of Coupled Heat Transfer in Air Cooling Channel of Aeroengine and Thermal Isolation Layer, ACTA AERONAUTICA ET ASTRONAUTICA SINICA, 2005, 26(4) [2]LI Juxiang    TU Shandong ,Heat transfer of laminar flow over a plate embedded in porous medium with a constant heat flux under local non-equilibrium condition, JOURNAL OF CHEMICAL INDUSTRY AND ENGINEERING(CHINA) ,2010, 61(1) [3]Wenge Chen, Thermal analysis of toroidal field coils of the HT-7U tokamak, JOURNAL OF HEFEI UNIVERSITY OF TECHNOLOGY, 2001, 24(4) [4]Guixiang Zhang, Heat transfer analysis for double skin facade of building based on CFD fluid model, CONSTRUCTION & DESIGN FOR PROJECT, 2003, (9)

Simulation and Application of solid-liquid coupled heat transfer in internal combustion engines [D].Hangzhou: Zhejiang University, 2006:39~45
CFD analysis for cylinder head water-jacket in separated cooling type diesel engine[J].Automobile Technology,2004(3):9~12.

Simulation of the three-phase flow field in fan The most effective way of droplet atomization is to improve the relative velocity between the droplets and the surrounding air[4], And the expansion of the gas can also make the larger droplets broken.
The dust removal fan mainly uses the strong shear produced by the turbulence to droplets sprayed in low pressure to prompt the secondary fracture and the atomization of droplets, which can refine droplets. 2. 1 The establishment of geometric model and the determination of simulation parameters The diameters of entry, exit and impeller of radial-straight-vane wet fan are 200 mm, 200 mm and 520 mm respectively.
According to the Eq. 1and Eq. 2, the imported flow velocity is 20m/s and the outlet pressure is 400 pa, while the inlet turbulence kinetic energy and the dissipation rating are 1. 4 and 1. 2 respectively based on the method of Fujun Wang. 2. 2 Numerical simulation of internal flow field The velocity vector is revealed after the three-dimensional simulation of the flow field in the fan by fluent, which are shown in Fig. 4.
And then, the numerical simulation of gas - liquid - solid three-phase flow in the fan is carried under a certain dust concentration, which revealed the flow field distribution inside of the fan and the conclusion that the turbulence formed in fan has great effect on the secondary refining of droplets.
References [1] W D Griffiths,F Boysan.Computational fluid dynamics (CFD) and empirical modeling of the performance of a number of cyclone samplers[J].Aerosol Science,1996,27(2):281-304