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Numerical Simulation of Heat Flow in a Vehicle Cabin Yang Zeng1, a, Masafumi Katsuta2, b 1, 2Department of Environment and Energy Engineering, Waseda University, Shinjuku, Tokyo 1690072, Japan ayoung.zeng@gmail.com, bkatsuta@waseda.jp Keywords: Heat flow; Heat transfer; Temperature distribution; Numerical simulation; CFD; Vehicle cabin; Abstract.
The heat flow distribution in a simplified 3-D vehicle cabin is predicted when parking in the summer sunshine by using the CFD analysis software.
Numerical simulation procedure The numerical simulation process is shown as follows: First, the 3-D model of the vehicle is established by AutoCAD and meshed by CFD analysis software.
The simulation starting date and time was set at the noon of the 21st in the June this year.
The constant environment boundary conditions were presumed to apply in this simulation.

Simulation result 2.1 CFX pressure The pressure status of hub and cutter pressed and its pressure distribution can be seen directly (CFX pressure is shown in Fig.3).
The plugin is designed to exchange information between the FEA and CFD calculations to ensure the continuity of stress and shape transformation across the FEA/CFD boundaries.
A thermal coupling simulation is realized through an iterative procedure between the FEA and CFD calculations.
Convergence of the FEA and CFD calculations in the iterative loop is satisfied as in normal individual FEA and CFD simulations, respectively[6,7].
(a) (b) Fig. 5 Total deformation result Conclusion We have proposed a 3D model for numerical simulation of aquatics hub cutter in ANSYS12.

It is indicated that the computational fluid dynamics (CFD) method can be applied to simulate the flow field, and the optimization design of the cathode can be guided according to the results of simulation.
The software of computational fluid dynamics (CFD) method is applied to analyze the simulation of the numerical model and guide the design and optimization of the cathode flow field.
The simulation results are obtained as shown in Fig. 9 and Fig.10.
It is indicated that the computational fluid dynamics (CFD) method can be applied to simulate the flow field, and the optimization design of the cathode can be guided according to the results of simulation.
Journal of System Simulation Vol.21 (2009) No.1, p.73-75 [6] F.J.

Mcllvenna [3] analysed transfer chute performance using 2D CFD based on kinetic theory.
CFD Modelling Model Verification.
From this perspective, the experiment and simulation compare well.
DEM-Simulation of Conveyor Transfer Chutes.
Predictions of Dust Loss from Conveyors Using CFD Modelling.

These situations have been modeled using (Design Builder) which includes state-of-the-art CFD simulation [12].
Main aspects of the Applied CFD Code The Design Builder CFD interface has been designed to run the simulations with simplified settings where geometry and boundary conditions are set up automatically.
Grid independence analysis has been fulfilled by comparison of the CFD simulation results of two different grid spacing values – 2 (for the rest of the calculations) and 3 meters.
Geometry of simulation models After carrying out the simulations two optimal positions were selected for producing of CFD slices (colored slices which indicate wind and pressure conditions).
Application of CFD in Building Performance Simulation For the Outdoor Environment.

CFD simulation approach A huge cold store chosen as the object in this study was 48m（L）×46m（W）×6m（H）, which was planned to be built by a low-temperature logistics company.
The empty CFD store model was showed as Fig.1 (a).
CFD simulation of effects of operating parameters and product on heat transfer and moisture loss in the stack of bagged potatoes[J].
Effect of design parameters on flow and temperature fields of a cold store by CFD simulation[J].
Simulation of air- to-refrigerant fin-and-tube heat exchanger with CFD-based air propagation[J].

In this paper, the simulated wind speed in the simulation model CFD based on Fluent is closer to the measured wind speed.
Therefore, for the wind resource assessment in the complex terrain, the nonlinear model CFD based on Fluent will be qualified to response the relationship between wind resource and terrain, simulation accuracy, and has higher simulation accuracy than the linear model WAsP.
Three-dimensional volume mesh of wind field is shown as Figure.2: Fig.2 The site of boundary conditions in simulation domain In the model CFD based on Fluent, define wind profile by using a user-defined function (UDF) as the inlet boundary condition.
The total annual power output of wind farms is 35.86GWh, and the linear model WAsP simulation is 38.37GWh while the nonlinear model CFD simulation is 37.87GWh.
Simulation results show that: the linear model WAsP has a higher accuracy than the nonlinear model CFD based on Fluent in the complex terrain, and the simulated wind speed MAPE by CFD is 9.75%.

Connect lath Fig. 1 Structure of New Resistance Wind Rotor CFD of Wind Rotor To make clear the air flow function to wind rotor, the simulation of the flow field with the CFD software Fluent was done.
Fig.2 shows the results of the CFD.
Flow of the simulation is air.
The result of the experiment shows no difference to the CFD simulation, so the simulation result is believable.
The pressure field structure of the out flow and the static torque output characteristic of it are brought to light by the CFD simulation and the static torque output experiment.

In this study, we had developed a program on the purpose of processes improvement for CFD simulation about spent fuel dry storage system.
The PRAs of the simulation models are depend on the standard specifications, similarity, the accuracy of the CFD simulations are depend on the efficiency of the spent fuel dry storage system (DSS) [3][4].
Therefore, such kind of the geometric change should be properly included in the analysis of the CFD simulation for the DSS program.
Description of the actual work For the traditional processes of the CFD simulation, all the thermal properties of the material and its mathematic model are need to hand-calculate each time, in order to simplify the simulation steps, one need to use an auto calculation instead of the hand calculation.
[4] “Numerical Simulation of Thermal Characteristics of VSC-17 Spent Fuel Dry Storage Part I –CFD Modeling”, Yung-Shin Tseng1, F.

To get information on velocity and pressure distribution for different outlet angle, Computational Fluid Dynamic (CFD) simulation can be used.
The design optimization was performed with the computational fluid dynamics (CFD) code FLUENT [5].
The objective of the simulation is to minimizing disturbance to the aircraft which carries the system.
CFD simulation of the different diffuser outlet angle provides useful insight in understanding of the velocity and pressure distribution.
ANSYS ICEM CFD grid division technology and its examples.