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Simulation of Natural Ventilation of Workshop in Large-scale Iron and Steel Enterprises Based on CFD Yan Long1,3, a, Ke Liu2,b , Shiping Jin1, c and Yan Fu3,d 1 School of Energy and Power, Huazhong University of Science and Technology, HuiBei, Wuhan, 430074, P.R.China. 2Wuhan Metallurgical Construction Co., Ltd. of MCC Group, HuiBei, Wuhan, 430081, P.R.China 3WISDRI Engineering & Research Co., Ltd. of MCC Group, HuiBei, Wuhan, 430223, P.R.China a ly_hust@mail.hust.edu.cn, b sphinxleo@126.com, c jsping@public.wh.hb.cn, d 17052@wisdri.com Keywords: CFD, Simulation, Natural Ventilation, Large-scale Workshop.
Method of CFD was adopted to carry out two-dimensional numerical simulations for internal natural ventilation process of a standard triple-span workshop in iron and steel enterprises with3 different layouts of heat resources.
By the method of Computational Fluid Dynamics (CFD in short), this paper carries out two-dimensional numerical simulations for internal natural ventilation process of a standard triple-span workshop in iron and steel enterprises with three different layouts of heat resource, obtains flow states and relevant parameters of air-fluid in the workshop and then attempts to come up with theoretical basis for design, optimization and process layout of natural ventilation in workshops.
In ventilation design of variety of large-scale industrial workshop, CFD is a common way to simulate and comparatively evaluate design proposals and then select the optimal design of ventilation. 2.
[5] Xianting Li, Bin zhao: Numerical Simulation of Air Indoor (China Machine Press, China 2009, In Chinese).

Furthermore, CFD simulation based on Eulerian model with vertical evaporation and condensation was developed, to gain sharp interface treatment between phases.
The Navier-Stokes equations are solved simultaneously in CFD simulation.
Experiments and Simulation Experiments.
CFD simulation.
Then a flow regimes simulation by CFD methods had been experimentally and numerically studied.

In this paper, numerical simulations of the two mission phases have been conducted with CFD tools.
Although RANS approaches are not generally as accurate as computational models utilizing Large Eddy Simulation (LES)[7] or Direct Numerical Simulation (DNS) techniques, the computational efficiency afforded by the RANS approach is advantageous and reasonable for the simulation of full scale scramjet.
Table 2 lists the simulation conditions for inlet of the computational zone.
On the CFD support for the Hyper-X aerodynamic database.
Reynolds-Averaged Navier-Stokes Simulations of the HyShot II Scramjet.

China a emaill: panxqcx@sohu.com Keywords: Mold Filling, Numerical Simulation, CFD, NHT, Interfacial Tracking Abstract.
As a debut, the general-purpose CFD software is used to establish the practicable mechanical model for the simulation.
As a debut, the general-purpose CFD software - FLUENT [12] acts as a tool to establish the practicable mechanical model for numerical simulation on mold filling process of casting.
In applications of CFD, the aforementioned equations and their solving process as well as the consequent postprocessing are generally called RANS-based simulation.
(a) Velocity vector (b) Pressure contour (c) Temperature contour Figure 2 Distribution of main physical fields in the filling process by simulation (t=5.619s) 5 Conclusions With a view to applying advanced CFD techniques to industrial practice, this paper, by means of general-purpose CFD software for the first time, carried out a simulation on mold filling of casting.

ANSYS Fluent is used to conduct Computational Fluid Dynamics (CFD) simulation using the Eulerian multiphase model and the standard k-epsilon turbulence model to model and analyze the fluidization in CFB.
Fig. 1 illustrates the CFD methodology used in this research.
CFD Methodology Flowchart.
Simulation Approach Multiphase Modeling.
While CFD simulations provide valuable insights, experimental testing is necessary to verify the accuracy and reliability of the simulated outcomes.

The results of CFD simulation have good consistency with the experimental test results, and it verifies the conclusion that the tail dome is good for drag reduction.
Through CFD simulation and physical model tests respectively, it verifies that to install a dome at the end of the van is good for drag reduction.
Three different types of tail domes were designed based on the mechanism of reducing pressure drag between the front and rear of vans in this paper, and CFD simulation is carried out in the Fluent.
The CFD simulation 2.1.
They can be obtained by CFD simulation.

This involved carrying out simulations to select the most effective wind catcher geometry.
CFD simulations of wind-driven ventilation and evaporative cooling in buildings Although much experimental investigation and one-dimensional numerical modelling of evaporative cooling have been carried out in recent years, studies which investigate wind-driven passive evaporative cooling in buildings using CFD methods are relatively uncommon in the literature.
Recent research [9], described experimental measurements and a simplified two-dimensional CFD simulation of an existing building which had been modified to incorporate a passive downdraught evaporative cooling shower system.
The CFD simulation which used the CFD software AMBIENS, is not described in detail, with no information on boundary conditions, or on mesh quality or turbulence modelling being provided.
This quality of boundary layer modelling was considered to be acceptable in these simulations.

With reference to the experiences in previous numerical simulations in this paper, CFD is used for analyzing two forms of return air in the cold store with the Finite Volume Methods and the SIMPLE Revised.
Computational Fluid Dynamic (CFD) is a simulation tool which predicts fluid flow behavior and transfer of heat.
The previous study has demonstrated the feasibility of CFD simulation applied in the flow field of the cold store.
Steady numerical simulation analysis The CFD predicted temperature field of both return air styles under the steady state conditions in the cold store were shown as follow.
[12]　Xie J，Qu X H, Shi J Y, et al．Effect of design parameters on flow and temperature fields of a cold store by CFD simulation[J]．Journal of Food Engineering，2006, 77 (2)：355~363.

Numerical Simulation Research about Group High-Rise Buildings around Wind Environment Ling Huang1, a, Xiabing Liu2, b 1College of Civil Engineering and Architecture, Nanchang Hangkong University, Nanchang 330063, China anchyhl2@126.com b627665303@qq.com Keywords: Groups of high-rise buildings, Interference effects, CFD numerical simulation；wind pressure Abstract：Using the common classical turbulence model, k-ε turbulence model which has fairly common usability，CFD simulations for group high-rise building and wind-induced static interference between tall buildings, are conducted.
Based on the comparison between the CFD and relative wind tunnel test ,it shows that: the method of numerical simulation have better accuracy, could be used for group high-rise buildings study of static interference.
Fig.2 Sensor Arrangement and The Direction of The Wind Schemes Fig.1 Buildings Layout Numerical simulation Applied the basic principles and methods of Computational Fluid Dynamics (CFD) , the wind load on the surface of main building is simulated.
In the numerical simulation, the calculation model according to the actual scale is built, omitting the simulation which has little effect on the part of local architecture.
According to simulation results.

CFD Simulation Ansys Fluent CFD software (R-14)was used to develop a simplified three-dimensional model of the bus passenger compartment.
· The simulations were run as steady employing pressure-based segregated solver with the SIMPLE, second order upwind discretization scheme and convergence criteria for all equations are 10-4 except for energy is 10-6[9]. 2.2 CFD validation and boundary condition CFD model was validated by comparing the air temperature obtained from the measured data.
Results and Discussions The CFD simulation results were analyzed at x-direction is 0.3 m, y-direction is 1.45 m and z-direction is 1.6 m as shown in Fig. 4(a).Fig. 4(b) shows the locations of data collection inside the bus passenger compartment.
Numerical Simulation of Pollutant Transport within an Vehicle Cabin.
Simulation of airflow and pollution levels caused by severe traffic jam in a road tunnel.