Search results

Finite Element (FE) simulations of the forming process were performed in this paper.
The trends shown by the simulation results are in good agreement with the experimental results.
Based on the computational fluid dynamics (CFD) method, a 3D model was built using a modeling software GAMBIT firstly and the thickness distributions under different process conditions were calculated using a calculator POLYFLOW.
Several simulations have been carried out.
The 3D axisymmetric simulation model Process Conditions.

The experiment show that the direct injection engine lean burn limit can increase 1.8 ~ 2.5 AFR unit. 1 Calculation model In order to verify the simulation accuracy, the combination of 3D simulation and steady flow test bench is shown in figure 1. 
According to the GDI-4G15 gasoline engine meshing scheme, we use AVL-FIRE software to simulation the oil and gas mixing process in cylinder.
On the basis of the above boundary conditions, this paper develop the numerical simulation of the compound injection system.
New Approach to Turbocharger Optimization using 1-D Simulation Tools[C].
CFD Investigation of Wall Wetting in a GDI Engine under Low Temperature Cranking Operations[C].

He reported that the increase in blockiness in his simulations has reduced the flow rate by 28 percent.
The simulation experiments were performed using a rotating drum with a diameter of 150 mm and particle diameter of 3 mm.
In the simulation we found that some factors have influence on the particle orientation.
Abbaspour-Fard, Numerical simulations to investigate the role of particle shape on bulk behaviour of particles in silos.
Second International Conference on CFD in the Minerals and Process Industries, CSIRO,Melbourne, Australia 1999

Challenges in Simulation of Aerodynamics, Hydrodynamics and Mooring-Line Dynamics of Floating Offshore Wind Turbines[C],Presented at the 21st International Offshore and Polar Engineering Conference, 19-24 June 2011, Maui, Hawaii
Dynamic overset CFD simulations of wind turbine aerodynamic[J], Renewable Energy 37 (2012) :285-298

Modern methods of computational fluid dynamics (CFD) are mainly based on the use of finite-difference (FDM) [1] and finite-element schemes (FEM) [2].
Computer simulation of convective heat transfer on the base of the proposed technique showed good agreement with experimental data.

In general, the computational fluid dynamics (CFD) simulation is carried to solve the full Navier-Stokes equations in consideration of various fluid mechanical effects as much as possible to overcome the limitations of inviscid numerical models.
However, the application of CFD to the case of swimming fish has been remaining hard due to the requirement of large computational resources to simulate the unsteady and complex flow around the moving boundary of the fish.
Results of numerical simulations The flow around a three-dimensional undulating trout is numerically investigated.
[17] Ojima, A. and Kamemoto, K., Numerical Simulation of Unsteady Flow around Three Dimensional Bluff Bodies by an Advanced Vortex Method.
[19] Nakanishi, Y. and Kamemoto, K., Numerical Simulation of Flow around a Sphere with Vortex Blobs, Journal Wind Eng. and Ind.

The grid of calculation is the solving based on the flow field of numerical simulation, the quality of scheme for space discrete largely decides the accuracy of the flow field numerical simulation, and directly related to the success or not for the CFD simulation problems.
Considering the complex of the tip-blade flow field of wind turbine, this method controlling the variation gradient of grids near the blade wall can reduce false diffusion in the numerical simulation, ease the difficulty of the grid generation, and control the numbers of the grid, which can save the computing time efficiently and improve calculatingly accuracy.
Simulation Methods 1.
Selection of the Turbulence Model Use the Large eddy simulation method LES, and take the standard Smagorinsky [5] model as the small scale calculatingly grid model. 2.
Simulation Results and Analysis In accordance with the above set, through the calculation of the flow field, get the vorticity distribution of Z = 0 section of S series impeller, as shown in Figure 4; and get the radial velocity distribution of Z = 0 section of S series impeller, as shown in Figure 5; and get the axial velocity distribution of Z = 0 section of S series impeller, as shown in Figure 6.

The development of water current turbine at Fluid Machinery Laboratory FTMD ITB is starting with searching numerical simulation model at ANSYS 12.1 using NACA0018 blade profile comparing with experiment and carry out that the Reynolds Stress Model is adequate between simulation and the experiments.
The numerical simulation at the flow velocity of 0,4 m/s give CP =0,39 at TSR=3,2 but at the experiments measurement give CP =0,35 and TSR= 3,88.
Other experimental case at flow velocity 0,6 m/s give CP =0,38 at TSR=2,18 the experiments and simulation result different is due to the friction loss of the transmission.
Equipped by NACA0018 optimized, the three parallel current water turbine with concentrator channeling device numerical simulation at velocity V=0,4 m/s produce CP =0,64 at TSR=2,97 and at Velocity V=0,6 m/s produce CP =0,51 at TSR=3,35.
Paper ID: AICFM12-0001, Yogyakarta, INA, 2013 [11] Yuliandra Syahrial Nurdin, Priyono Sutikno, Simulation of straight Blade Darrieus Turbine with Channeling Device in Utilize with Parallel and Shifting Angle Configuration.

With the help of BIM technology, we can simulation analysis of the ambient temperature, the age of air, wind speed and wind pressure, soughting to a method of quantitative analysis of mountain traditional houses, and the design of ecological energy-saving.
The most critical step is to translate model informations into identified eco-energy saving software (CFD, EnergyPlus, dest, Doe-plus ,Ecotect etc.).
After the simulation, architects apply the final data to optimize and reflected in the BIM models.
According to the meteorological data of Chongqing, simulation analysis of wind environment (air age, velocity and wind pressure) and get the flow pattern of air, then adjust.
Its powerful information management capabilities provide a methodological foundation for a variety of related simulation and analysis.

The concentration fields of Zn, ZnO, and O2 were analyzed by CFD simulation.
In order to explain the morphologies evolution, the simulation was performed using FLUENT 6.3.26 software.