Search results

And the CFD simulation analysis of the model with the testing parameters is taken.
And the simulation model adopts the 0.5 MPa air-pressure, 150 ℃bitumen temperature and 8% cold water ratio.
The analysis of foamed bitumen outlet flow control laws Based on the bitumen foaming model and the test data of the simulation, Fig. 5, Fig. 6 and Fig. 7 list the simulation results of the different spout sizes.
The paper adopts the simulation data of following graphs and data fitting curves.

Latter set of simulations also incorporated higher velocities and was supported by wind tunnel experiments.
VG-inclusive transient simulations used an optimal time step of Δt = 0.0005 seconds with the Courant number ≤ 1 to satisfy the CFL criteria.
All simulations reached a steady state after two flow cycles, mainly due to the diffusivity of Reynolds-Averaged Navier-Stokes (RANS) models.
Figure 4: Wind-tunnel data for 17.5 m/s and CFD validation model for 60 mm position with β=15°.
Based on excellent correlation with wind-tunnel measurements (Fig. 4), the CFD model was deemed to be accurately capturing vortex behaviour.

Simulation is conductedbased on the standard k-ε flow model.
Results and Discussion Fig.5 shows the CFD model with the velocity streamline.
Fig. 5: CFD Velocity Streamline Model.
Table 1: Simulation results of angle vs.
Feng, Two dimensional simulation and analysis of the flow in supersonic separator, J.

Numerical simulation of three-dimensional transient turbulent flow in the whole flow passage of a Francis turbine were based upon the large eddy simulation(LES) technique on Smargorinsky model and sliding mesh technology.
The Physical model of simulation The simulation is for a model full-flow of the giant unit, which over-current components are: scroll, vanes, guide vanes, runner, draft tube.
Before the large eddy simulation, the standard k-ε model was used for the steady simulation, and the flow data upon steady simulation with will be as the initial conditions for the unsteady simulation.
Because the CAVATION module was not taken into account during the simulation, the simulation results do not produce steam separator, therefore, the low pressure center will not appear with steam cavity.
[4] FuJun Wang, The analysis for Computational Fluid Dynamics—the theory and application of CFD[M].TSINGHUA University Press,2004

Computational Fluid Dynamics Computational Fluid Dynamics[1] (CFD for short) is based on classical fluid mechanics and numerical calculation method, through numerical calculation and image display, solving the whole flow field numerical, so as to achieve the purpose of the research on physical problems[2].
On the inside and outside the tube during the simulation calculation, differential pressure flow meter physical structure model using GAMBIT 2.2.30[4].
Papers finalized throttling ratio β of 0.6 for numerical simulation experiments show [5].
For the optimization and selection of tube inside and outside differential pressure flow meter, water is the simulation medium.
Simulation Results Analysis By the way of above pressure, we obtain four throttling ratios data.

Numerical Simulation Results Simulated Result and Analysis.
It has carried on resistance characteristic value simulation of inertial separator with 3 different kinds of turbulence models.
So the RNG model is more accurate for the numerical simulation of the inertial stage.
The experimental results validate the numerical simulation.
[4] Wang Fujun: Computational Fluid Dynamics-CFD Theory and Application, (Tsinghua University Press, Beijing 2004)

Aerodynamics Research of Thermal Fluid Circulation in a Heated Cavity Guang Zhao1,a 1Aircraft Dynamic Department, Aviation University of Air Force, Changchun 130022, China alixuezhaoguang@126.com Keywords: numerical simulation, natural convection, lattice Boltzmann method, bottom heating.
In this paper, numerical simulation of natural convection in a closure square cavity with heating source on the basement is carried out using thermal lattice Boltzmann method.
Although there are a few literatures on this problem, including experiments and simulations [2, 3], most of them are focused on the location of the heating source or the nonlinear characteristics under different Rayleigh number .
Results for the simulations of range from 0.1 to 1.0, and varies from 103 to 106 are obtained.
Okui: Mathmatics and Computers in Simulation, Vol. 72-2(2006), p.195-200.

By making the simulation gradually more accurate it was proved that for decreasing the temperature at the point of damper in the unaffected tunnel tube, it is necessary to build a fire-resistant partition EW 180 in the airway and to direct thus the flow of hot combustion gases straight into the chimney of the ventilation building (see Figure 1b).
This fire model of the field type [10], [11] is based on the computational method CFD that makes it possible to model the dynamics of flow of hot gases and combustion gases.
Fires with outputs in a range from 8 to 200 MW and duration in a range from 45 to 100 minutes (see Figure 2) represent fires, from passenger car collision fire to the extreme case of petrol tanker fire; these outputs were chosen for simulation owing to the expected large volume of goods traffic.
Fig. 2 Fire scenarios (heat release rate) suitable for fire modelling using the CFD technique [13] For simulation, a flow velocity of 1 m/s in the tunnel, representing the variant of ventilation at the fire during bi-directional traffic in the affected tunnel tube, was used.
Determination of the heat release rate inside operational road tunnels by comparison with CFD calculations.

Aspect ratio (b/a) a (m) b (m) Dh (m) Circular - - 0.12 - square - 0.12 - Rectangular 0.1632 0.096 0.12 1.7 0.24 0.08 0.12 3 elliptic 0.17 0.1 0.12 1.7 0.09 0.27 0.12 3 2.2 Mathematical equations The Navier-Stokes equations of the turbulent flow are solved using, k-ω SST turbulent model provided by ANSYS CFX-CFD code.
[5] Wahba, E.M., Steady flow simulations inside a driven cavity up to Reynolds number 35,000, Computers & Fluids, vol. 66, pp. 85-97, 2012
M., Bessaïh, R., Numerical simulation of natural convection heat transfer of copper-water nanofluid in a vertical cylindrical annulus with heat sources, Thermophysics and Aeromechanics, vol. 26, pp. 325–334, 2019
[21] Ahlman, D., Brethouwer, G., and Johansson, A.V., Direct numerical simulation of a plane turbulent wall-jet including scalar mixing, J.
[22] Iftekhar, Z., Tucker, G., and Yan, L., Large-eddy simulation of the interaction of wall jets with external stream, Int.

Discontinuous Deformation Analysis (DDA) is an emerging numerical simulation technology in rock engineering field, which could be used to analyze discontinuous blocks movement.
Introduction As an innovative numerical simulation technology in the field of rock engineering, Discontinuous Deformation Analysis (DDA) has been extensive attention of academicians around the world, since the Chinese-American academician Dr.
This software is originally only used in the medical field [3].Afterwards, it is widely used to develop Computational Fluid Dynamics (CFD) software [4].The open-source and object-oriented features of VTK allow us to code based on library function and develop a post processing system for DDA conveniently.
[2] Youjun Ying, Jun Yang, Pengwan Chen, Numerical simulation of rock blasting in jointed rock mass by DDA method[J],Rock and soil Mechanics,2010.Jun,vol.31,No.7,2259-2263 [3] Huoling Luo, Yongzhong Xu, The study and realization for 3D reconstruction of medical image based on VTK and MFC[J], Journal of Biomedical Engineering,2010,vol.3,No.1, 23-28
[4] Andreas Gerndt, Bernd Hentschel, Marc Wolter, Torsten Kuhlen, VIRACOCHA: An Efficient Parallelization Framework for Large-Scale CFD Post-Processing in Virtual Environments,2004