Search results

One may realize that it is possible to incorporate computational fluid dynamics (CFD) with Eq. (1).
The history of can be calculated by CFD software and thus a variational visibility range can be obtained.
More simulations are conducted for the four scenarios.
One finds that NOG in the simulation varies from 0 to 40.
Simulation of pedestrian dynamics using a two-dimensional cellular automata.

Optimization of various parameters, real-time data was simulated and results were obtained from CFD software [10].
A combination of analytical formulas and CAE simulation results show that cooling time can be reduced by 50% using conformal cooling channels [11].
Simulation Results The CAE analysis for the part is done using Solidworks Plastics Simulation.
Sink marks for a) Conventional cooling channels, b) Conformal cooling channels The weld lines were seen maximum at the corners in both the simulation results.
Simulation results show that cooling time has decreased significantly with the use of conformal cooling channels.

Simulation results show that the engine performance, especially the emission performance, can be improved at all simulation working conditions.
Some researchers have used the computer simulation method to study the optimal valve timing problem.
A 1-D simulation model was established according to the real engine structure and its size.
A CFD Approach for Studying Valve Timing of IC Engines[J].
Numerical Simulation and Analysis of Influence of Valve Timing on Diesel Engine Performance[J].

The lattice Boltzmann method (LBM) [7], as an alternative numerical approach on mescoscopic level between the traditional macroscopic computational fluid dynaimcs (CFD) and the microscopic molecular dynamics (MD) methods, is used to carry out the numerical investigations.
Fig.2 (a) Relationship between the surface tension and the fluid/fluid interaction parameters and (b) Relationship between the surface wettability and the fluid/solid interaction parameter Numerical simulation The numerical simulation of a droplet impact onto a rough solid surface will be introduced in this section, and the effect of material’s wettability will be discussed in details.
Four values of |Gt| are chosen to make simulation, where the value of 0.4 stands for the hydrophilic surface, values of 0.3, 0.2 for the hydrophobic surface, while value of 0.1 for the superhydrophobic surface.
In our researches, we set We = 85 and Re = 75 for all simulations.
This simulation result agrees with the formula of contact angle for the rough surface proposed by Wenzel.

The simulation results are listed in Table 1, while the theoretical values of bearing load in Table 1 are obtained by the method in Ref.[5].
It can be seen in Table 1 that the mean values obtained by simulation are in good agreement with the theoretical results.
Therefore the simulation results can be extracted as the dynamic incentives in finite element analysis.
Because the bearing loads obtained by simulation is very complicated, in order to simplify calculation, the four bearing loads during 0.22 ~ 0.23s are respectively applied to the housing.
Peter, Optimization of casting and forging at AUDI AG, in: Simulation, Das Fachmagazin für FEM, CFD und MKS, 2003, issue 02, pp.1-11

These stresses will be eliminated by design of higher number of screws fixed on the flange (Fig. 7). 3.1.2 Design of the flange with eight screws for the water heater The first simulation that was performed for the water heater tank with eight screws on the flange was with 3.5 mm thick material and the holes were for carriage screws with the size M5.
Maximum stress that occurred during simulation was in the part of tubes, which is not considered as important for this calculation.
Then, a series of simulations was performed.
Košičanová, Indoor environment air quality ventilation rates – numerical CFD simulations calculations and measuring apparatus applications, Czasopismo Techniczne 109 (3), 2012, 281–295
Bojko et al, Characteristics of a mathematical model of the spiral heat exchanger using CFD ANSYS Fluent, Liberec, 2011. p.17-19

The author highlights all major variables to influence the output of the shock absorber, and then proceeds by performing a series of simulations using the developed model.
Shortly, the simulation was conducted based on the following parameter set: Ac=5.0671 [m2]; L0=0.241 [m]; Ar=4.1167 [m2]; m1=9.680·10-4 [kg]; m2=1.004·10-3 [kg]; m3=1.494·10-3 [kg]; m4=1.919·10-3 [kg]; mpr=1.867·10-1 [kg]; C1=2800 [Ns/m]; C2=8 [Ns/m]; C3=5600 [Ns/m]; C4=900 [Ns/m]; Cpr=80 [Ns/m]; K1=2.8·106 [N/m]; K2=8·103 [N/m]; K3=5.6·106 [N/m]; K4=0.9·106 [N/m]; Kpr=1.3·106 [N/m]; Ffriction=22N; Cf1=0.9; Cf2=0.85; Cf3=0.9; Cf4=0.85; Ain_1=1.314·10-5 [m2]; Ain_2=6.72·10-5 [m2]; Ain_1=2.036·10-5[m2]; Ain_4=4.48·10-5 [m2]; Kc1= Kc2= Kc3= Kc4=108 [N/m]; R1=0.0067 [m]; R2=0.0096 [m]; R3=0.0088 [m]; R4=0.0109 [m]; XA1=1.0536 [m]; XA2=1.0587 [m]; XA3=1.0676 [m]; XA4=1.0428 [m]; r=0.0127 [m]; s=1.05 [mm]; Pg0=6·105 [Pa] Results The numerical results are presented in the form of time histories of pressures, flow rates and the damping force output – see Fig. 3 and Fig. 4.
Simulation result – high frequency, a) pressures, b) flow rates (valves) pcomp preb a) b) Fig. 4.
Simulation result – low frequency, a) pressures, b) flow rates (valves) Low frequency excitation High frequency excitation Fig. 5.
Finally, future work will be directed towards experimental characterization of the flow-induced phenomena, the lumped parameter model validation and CFD (Computational Fluid Dynamics).

Influence of the slag/pool interface on the solidification in an Electroslag remelting process Abdellah Kharicha1,a, Wolfgang Schützenhöfer 2, Andreas Ludwig3 and Gerhard Reiter 2 1 Christian Doppler Laboratory for Multiphase Modeling of Metallurgical Processes, University of Leoben, A-8700 Franz-Josef Str. 18, Leoben, Austria 2 Böhler Edelstahl GmbH & Co KG, Kapfenberg, Austria 3 University of Leoben, Leoben, AUSTRIA a abdellah.kharicha@notes.unileoben.ac.at Keywords: ESR, remelting, slag, simulation, solidification, VOF, magnetohydrodynamic, electric current, flow, CFD, Joule heating, interface tracking, porosity, enthalpy.
Two numerical simulations were performed, one assuming a flat interface, and a second leaving the interface free to find an equilibrium shape.
Simulations [1-9] can be found in literature, but due to the complexity of the system and due to the computational restrictions, several assumptions and simplifications are necessary.
Table 1 lists typical physical properties of the alloy, the slag, the geometry and the operating conditions used for the present simulations.
When the interface is imposed to be flat, the results agree with most of the previous simulations results found in the literature [1-7]: 1) The distribution of the electric current is mainly vertical, except at the extremity of the electrode and under the slag exposed surface (figure 2a.).

Salcedo et al. [9] they carried out a numerical simulation of mixed convection heat transfer from a downward flow of Newtonian fluid around a tandem circular cylinder, the simulation are performed at Re = 200 and the governing equations are solved in unsteady laminar regime, Ri = -1 to 4, Pr = 0.7 and Blockage ratio = 0.2.
The numerical simulations are done for the range of these conditions as: Re = 5 to 40, Ri = 1, Pr = 1, β = 0.2 and distance between the cylinders S = 0 to 5d (d is the diameter of the cylinder).
(10) Numerical Details The numerical simulation is carried out by using the commercial CFD package ANSYS-CFX.
Results and Discussion Numerical simulations are represented mainly in term of streamlines and isotherm contours for the following range of conditions: Re = 5 to 40, distance between cylinders, S = 0 to 5d at fixed values of Richardson number Ri = 1, Prandtl number, Pr = 1 and blockage ratio, β = 0.2.
Summary The numerical simulations of incompressible fluid around a tandem of confined circular cylinders exposed to downward flow are studied under the effect of opposing thermal buoyancy in order to understand and to determine the combined effect of buoyancy strength and the distance between the cylinders on fluid flow and heat transfer rate in the range of these conditions: Re = 5 to 40, S = 0 to 5d at fixed values of Ri = 1, Pr = 1 and β = 1/5.

These results are important to model many solar uses as solar distillers, solar dryers, etc… We present, in this report experimental results and in a future paper, the written mathematical model and a numerical simulation.
Emran Khan: Simulation of convective mass transfer in a solar distillation process.
Simonson E: Combined heat and mass transfer for laminar flow of moist air in a 3D rectangular duct: CFD simulation and validation with experimental data