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China 2State Key Laboratory of Automotive Simulation and Control, Jilin University Changchun, R.P.
The cyclic-mean values of the in-cylinder gas-to-wall heat transfer coefficient and bulk gas temperature were obtained from the comprehensive thermodynamic cycle simulation by the software-GT Power.
[2] Qun Chen, in: CFD Analysis of Cooling Water Jackets in Automotive Diesel Engine [D].
[3] Shengguan Qu, Wei Xia, Ronghua Huang, etc., in: Experimental Research and CFD Analysis of the Cooling Water Flow in Engine Cylinder Head [J], submitted to Journal of South China University of Technology (Natural Science Edition), 2004.32(8): 42-46
[5] Günter P.Merker, Christian Schwarz, Gunnar Stiesch, et al., in: Simulating Combustion: Simulation of Combustion and Pollutant Formation for Engine-development [M].

They were used in different simulation scenarios.
The results of performed simulations realized with SolidWorks are presented in the paper. 1.
Simulations Four simulation scenarios were developed in SolidWorks, and the results were gathered using Flow Simulation tool.
Also, the second set of simulations places the two thyristor modules in the middle part of the heat sink.
The CAD and CFD tools give us the possibility to analyze different design solutions.

Simulation and Modeling: The structural model of the hexacopter drone was designed using SolidWorks simulator.
To analyze the aerodynamics of the hexacopter drone, the computational fluid dynamics (CFD) of the drone was also simulated using SolidWorks simulator.
The key simulation parameters were set as: gas type– air, wall thermal condition– adiabatic, flow type– laminar & turbulent, gravity– 9.8 meter/sec2, roughness– 0 mm, and temperature– 293.2 K.
Results and Discussion Simulation Results: We investigated the airflow distribution and air pressure distribution of the multi-functional drone at a wind velocity of 50 kilometer/hour using SolidWorks Computation Fluid Dynamics (CFD) analysis.
The CFD analysis ensures stable design of the multi-functional drone.

Detached Eddy Simulation (DES) is used to produce the flow field of the model.
Simulation Methodology Geometry.
It has been simplified by removing all small and medium sized parts and filling up the cavities because the real model is too complex for the current CFD study.
Simulation Setup.
The commercial software package Fluent was used for simulation.

Computational setup Computational Fluid Dynamics (CFD) is going to be a powerful tool for the vehicle aerodynamics because it can provide enormous amount of information as well as high economical efficiency.
Large eddy simulation (LES) is an encouraging solution to the problem because it can reproduce unsteady turbulence characteristics with high accuracy.
It also models the smallest (and most expensive) scales of the solution, rather than resolving them as direct numerical simulation (DNS) does.
The step time for the unsteady simulation was set to 5×10-4s.
The results of the simulations and experiment can be compared in Table 1.

Through simulation analysis the performance of design objects can be estimated.
This article aims at the problem and the simulation model of the diesel is established.
However, the error is acceptable and does not affect the subsequent simulation.
The simulation of the diesel based on that has the credibility.
Kotnik. 3D-CFD Single Cylinder Coolant Flow Analysis of the SVERI 12V 150 Engine, China North Industries Group

The effect of cycle time on the simulation is shown in Figure 3.
The simulation was used to discuss the effect of pressure, total cycle time and temperature due to oxygen concentration.
Tan, “CFD modeling of the perovskite hollow fiber membrane modules for oxygen separation,” Chem.
Boniface, “Numerical simulation of a pressure swing adsorption oxygen unit,” Chem.
Chou, “Simulation study of separating oxygen from air by pressure swing adsorption process with semicylindrical adsorber,” J.

Based on the finite volume method and the pressure-velocity coupling scheme of the SIMPLE algorithm with the standard k-ε turbulent model, this study utilized the CFD software to solve the incompressible three dimensional Navier-Stokes equations to calculate the pressure of the flow field in the bearings.
Theory and Approach Based on the finite volume method and the pressure-velocity coupling scheme of the SIMPLE algorithm with the standard k-ε turbulence model, this study utilized the CFD software, FLUENT, to solve the incompressible three dimensional Navier-Stokes equations to study the flow field of a porous aerostatic journal bearing for its physical behaviors such as velocity and pressure.
In order to simplify the numerical simulation, the following assumptions were made for the flow field: (1).
Simulation Techniques To reduce the size of mesh and save the time for computation, the model of the partially porous aerostatic journal bearing was composed of a single row of eight porous inserts at intervals of along the circumferential direction of the spindle without eccentricity as shown in Fig.1.

Numerical Study on the Heat Transfer Characteristic in Periodical Variable Cross-section Channel Li Li, Xiaoze Du School of Energy and Mechanical Engineering, North China Electric Power University Beijing 102206, China doubleli@ncepu.edu.cn, duxz@ncepu.edu.cn Key words: heat transfer, numerical simulation, variable cross-section Abstract.
A commercial CFD software Fluent is used for the numerical solutions.
The grid independence is carried out to raise the accuracy of simulations.
Conclusion Average heat transfer characteristics in a multi-period converging-diverging channel in steady regime have been investigated through numerical simulation.

The efficiency of the developed algorithm is demonstrated by the numerical experiments on the simulation of the three-dimensional turbulent steady flowfield generated by the transverse hydrogen injection into the supersonic air cross-flow.
Introduction At the present time, TVD (Total Variation Diminishing), ENO (Essentially Non-Oscillatory) and WENO (Weighted ENO) schemes are successful tools for numerical simulations of supersonic flows.
The efficiency of the developed algorithm is demonstrated by the numerical simulation of the three-dimensional turbulent steady flowfield generated by the transverse hydrogen injection into the supersonic air cross-flow by solving the Reynolds-averagedNavier-Stokes equationsclosedbythe turbulent model.
The methodology developed here is aplicated to the numerical simulation of the three-dimensional turbulent steady flowfield generated by the transverse hydrogen injection into the supersonic air cross-flow by solving the Reynolds-averaged Navier-Stokes equationsclosedbythe turbulent model.
Wilcox: Turbulence modeling for CFD (DCW Industries Inc., USA 2000) [9] Ye.