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In this study, the fluid flow through the cancellous structure is studied by CFD.
The basic arrangement of the cancellous bone in the simulation was based on the experimental setup that studies the fluid flow in the cancellous bone.
For each simulation, the velocity and pressure values along the centerline of the cylinder were taken.
Flow structure simulation All the models were meshed in Gambit.
The simulation was performed under static pressure with constant volumetric flow rate of 100ml/h.

This paper describes the development of a multiphysics welding simulation model based on the discontinuous Galerkin (DG) finite-element method.
In particular, this formulation offers arbitrarly-high order of spatial accuracy on highly unstructured meshes, thus combining the precision of academic research codes with the adaptability of general purpose CFD solvers.
In this work, the DG approach is extended to the simulation of manufacturing processes involving metal fusion, such as welding.
This work represents a first step towards a high-fidelity fusion welding simulation package, with future efforts dedicated to extensive mesh-refinement studies, the implementation of a deformable free-surface, industrial applications, and in the longer run hp-adaptive simulations.
Melting of a pure metal on a vertical wall: numerical simulation.

Numerical simulations for hydrodynamically laminar flow was direct ran at Re between 600 and 1800.
Physical Models Fig.1 Arc belt geometric model Results and Analysis of Numeric Simulation CFD is applied for the simulation [5]-[7].Due to the disturbance of the arc belt, the flow direction and the speed change continuously.
It is found that enhanced tube can get better heat tranfer effect in the range of Reynolds number Re of simulation.
Mechanism of Heat Transfer Enhancement in the Core Flow of a Tube and Its Numerical Simulation.

Fig. 2 NOx emission curves under Fig. 3 Exhaust temperature change under Nitrogen-enriched condition nitrogen-enriched condition Simulation analysis of nitrogen- enriched engine performance In 2008, Jinjin Deng[11] analyzed the process of nitrogen enriched combustion and she used the simulation software GT-POWER to build the combustion model in order to simulation the enriched nitrogen combustion process.
Numerical simulation of nitrogen-enriched intake air in intake，compression and combustion process was performed with CFD software.
As shown in the figure 11, simulation results illustrate that upright straight intake generate tumble motion that the direction is opposite to the previous engine.
As shown in the figure 12, simulation results show that the special shapes combustion chamber can meet the requirements of the stratified air intake better.
Numerical Simulation Study of Nitrogen-richened Air Combustion Process and Emission in Diesel Engine.

Comparative numerical simulation was also carried out.
Comparative simulation of the summer thermal stability The experimental measurements in the house at Moravany served as a basis for comparative numerical simulation within the validation procedure of computer software.
Results and evaluation of simulation The resulting values of internal air temperatures in the executed simulation, as compared with the actually measured data, appear to be satisfactory.
In the case of both studios 1.04 the difference between simulation and measurement is larger.
Opening the windows was not part of the simulation model; the simulation tool Energy Plus does not provide any simulation of air flow (CFD).

As a result form the Computational Fluid Dynamic (CFD) simulation, shows that by maintaining a 2 m head, the cross-flow turbine power output can achieve 1700 watt at 50 L/s flow rate and 700 watt at 40 L/s for axial-flow turbine.
M. et al. (2011) Independent small reservoir 1700 watt Test-rig and CFD simulation Haidar, Ahmed et al. (2011) Headwater reservoir 2850 watt Installed at UMP H.

Figure 1: UPM - LST [1] Figure 2: Layout of the new UPM Closed Circuit Wind Tunnel [2] Methodology of the Wind Tunnel Design Analysis Since the results of computational fluid dynamic calculation (CFD) would need validation, all design products in engineering sense would also require verification.
This question may be answered, for example, by carrying out the following simulation.
High-lift devices such as flaps are usually developed in wind tunnels and supplemented by extensive CFD’s works.
Table 1 shows a simulation that is made to calculate the Reynolds number of test models of the assumed LSA, where it is further assumed that the test would be conducted in two wind tunnels of different sizes, i.e. in 1´1 m2 and in 3´2 m2 at two different wind speeds, 50 m/s and 80 m/s, and on three different model types, i.e. 2-dimensional airfoil model, 3-dimensional half model and 3-dimensional full model.

Computer Simulation Environment was rarely used to analyze the indoor and outdoor environment.
In this case, we used the Computer Simulation Environment technology combined with regular design methods.
Fully-buried sewage treatment facilities can achieve the goal of zero discharge of sewage. 4 Computer Simulation Environment analysis 4.1 Evaluation of outdoor wind environment simulation Fig.3 The campus on the summer wind speed simulation vector diagram Fig.4 The campus on the winter solstice sunshine hours simulation diagram Fig.5 Overall daylight simulation on fourth floor of typical teaching building In order to examine how the layout form influenced the wind environment, the wind environment simulation is done by CFD (Computational Fluid Dynamics) software Phoenics 2009.
The outcome of the simulation shows that average sunshine hours were 4.38 hour per day.
The new campus is proofed to be with high quality of daylight in the classrooms. 4.4 Solar radiation simulation Fig 6.

With the rapid development of computer technology in recent decades, applications of computational fluid dynamics (CFD) have been speeding up in a variety of industries.
Simulations with different conditions were performed as shown in Table 2.
Performed simulations with different conditions.
The results of computer simulations.
Compared with simulation 3, infiltration time is reduced with 17.6%.

Simulation of solidification and convection of NH4Cl-H2O solution in a water-cooled copper mold M.
Reasons for the quantitative deviation between the simulation and experiment are discussed.
The model is implemented in an Eulerian multiphase CFD code (ANSYS Fluent 14.5.0).
A comparison of the velocity fields between the simulation and experiment is shown in ‎Fig.2.
The solid line in simulation represents the solidification front.