Search results

Abstract. adopting the k-ε standard model, the CFD simulation software to simulate the indoor kitchen and toilet different row of indoor air volume air distribution in natural ventilated circumstance, by comparison results show that different row of indoor air volume changes in the rate of secondary pollution rate, and then to provide the change rule of indoor air quality protection reference basis.
Numerical Simulation Physical model.
Simulation of area of 103m2 room.
Fig.1 Simulation modeling the three-dimensional Fig.2 The simulation of the room plane model of the room models CFD Numerical simulation conditions setting In the numerical simulation calculation, Condition set below.
So through the simulation of indoor air distribution method, research that reasonable kitchen, toilet row is necessary to air.

The NG dispersion for LNG releasing on water was presented by this paper, and DNV’s UDM model and CFD model were combined as a new model, which was validated credibility by simulating a case.
The results of numerical simulation were treated by TECPLOT software, and then a 3D concentration of NG can be shown.
Numerical simulations (1) Case description Atmospheric stability is level D.
Computational Fluid Dynamics-CFD software principle and application[M].
Simulation Study on Instantaneous Release of LNG[J].

This paper mainly discusses is the basic method of solving the Stokes-Navier equation and compare these, phenomenon involved include smoke, waves, fire, explosion, bubble and so on, and their simulation in Computation Fluid Dynamics (CFD) field is hot topic.
CFD emphasizes the accurate solution of question itself and gives a reasonable analysis and requires that the results of computer simulation can predict fluid motion of reality,but fluid animation focuses on the fluid visual effect which is generated in order to cheat audience.So, compared to the commonly used method in CFD, arithmetic of fluid animation is lower in precision but it is faster in calculation speed.
In a word, Eular fluid simulation animation is true to the general audience can not distinguish between computer animation and real film of the stage.
For example, now there is no simulation system of real-time interaction, there is no real simulation results based entirely on physical model.Now this paper will introduce the possible future new research directions about fluid simulation based on physical model.
Real-time 3D fluid simulation on GPU with complex obstacles[A].

These models can be classified into three groups: simple empirical formula models, population balance models and computational fluid dynamics (CFD) models [1, 2, 3, 4].
An Euler-Lagrange approach in CFD has been used by XIA to simulate the flow patterns, particle behaviors, and separation mechanisms in TBS. because of the complexity of these models, Galvin’s model and Das’s model are of most interest, they only are discussed here.
But in order to assess the suitability of models, the deviation between the simulation and the tests results is shown in table2.
Table 2 Average deviation between simulation results and tests results[m/s] Models Galvin’s model Das’s model Alien’s law Average Deviation 0.019043 0.024451 0.031507 As shown in table2, the average deviation of Galvin’s model is the lowest, i.e. the values predicted by equations of Galvin’s model are most closes to the experimental data.
K.: CFD simulation of fine particle gravity separation in hindered-settling bed separators.

The temperature measured at the critical locations was about 350ºC and the pressure applied in the system was calculated through a Computational Fluid Dynamics simulation (CFD), whose results are presented in the paper.
CFD Analysis.
The velocity profile was unknown at the inlet of the exhaust system; thus, in the simulations, a uniform velocity, with a mean value of 85m/s [16] across the section, was considered.
a) b) c) d) e) Fig. 4. a) Geometry of the exhaust system; b) View of the mesh used in the CFD analysis; c) Thermal insulation modelled; d) Velocity and Pressure distributions calculated; e) Flow lines inside the exhaust system with vortices visible.
Those values should also be confirmed at 350ºC, in welded joints of AISI316L with Cr-Mn steel, in order to simulate the local replacement of the current material; - The combination of high pressure and the existence of vortices, together with a turbulent regime, in the critical locations where the cracks were detected, were determined through CFD analyses.

That is, it reduces the dependence of step in the drag reduction design, and improves the robustness of the adjoint-based airfoil drag reduction optimization design method. 1 Introduction With the rapid development of high-performance computing, the high-fidelity CFD codes such as Reynolds-Averaged Navier-Stokes (RANS) codes have been widely applied to aerodynamic design of aircraft.
The CFD-based aerodynamic design methods can be mainly categorized into two classes: optimization design and inverse design.
From an optimization point of view, both optimization design and inverse design need to solve an optimization problem by coupling optimization algorithms with CFD simulation codes.
When high-fidelity thus time-consuming CFD codes are employed, the optimization procedure becomes demanding.
The Baldwin-Lomax zero-equation turbulence model is used for turbulence flow simulation.

Table 2 shows the comparison on simulation parameter generally used by this study and by [3] for validation purpose.
Table 2: Comparison parameters use for validation purpose Simulation Parameter Present study (evaporation model) [3] Tank Volume 35062 m3 36250 m3 Time step 1 hour 5 minutes LNG Density 452 kg/m3 452 kg/m3 Ambient temperature 5oC 5oC Overall U 0.4 kJ/m2.K 0.4 kJ/m2.K LNG Composition 100% methane 90% methane 10% ethane Operation Pressure 101.3 kPa 101.3 kPa Fig. 2 : Comparison on CFD simulation result The analysis done based on single independent scenario as follows.
(a) (b) Fig. 3: a) Boil-off rate and b) Total boil off gas as a function of voyage duration Fig. 4: Contour and profile of (a) vapor volume fraction (b) vapor temperature and (c) velocity magnitude for Air Temperature =318K, Seawater Temp=305K, U=0.411 at centre of the tank (z=20m) Conclusion The use of CFD code in ANSYS Fluent can be utilized in modeling the vapor behavior of LNG inside tank.
However, the right and correct use of the model is very important in simulation the model.
C.: CFD Simulation of Compressible Two Phase Sloshing Flow in a LNG Tank.

In this paper, the hydraulic efficiency and circumferential force fx are selected as evaluation parameters , cascade CFD models are built and calculated with the different modified angles.
Fig.4 Inlet flow angle modification influence diagram Analysis of Outlet Flow Angle Modification It is similar to the inlet flow angle calculation that the CFD model is built and calculated.
Mechanics and Simulation of Geared Turbodrill.
CFD Simulation of Multistage Turbine Flow Field.
Computational Fluid Dynamics-Principle and Application of CFD Software.( China Tsinghua University Press, Peking,2004) In Chinese

Energy consumption of gas-fired infrared radiant and heat exchanger by convection heating is comparative analyzed, CFD software is used to simulate fields of the temperature and the predicted percentage of dissatisfied.
Their study focused on the difference between the simulation results and the results obtained by ASHARE method, it is concluded that the ASHARE method results are 21% higher than that of simulation [5].
CFD software is used to simulate the temperature and the PPD (predicted percentage of dissatisfied) field.
Radiant heating Fig.3 Steady state of the two different heating modes Based on heat load: The simulation results of the two heating modes based on the same load are shown in Fig.3, the heat transfer coefficients of envelops are under the same conditions.
Based on the simulation, it is concluded that if the thermal isolation of the floor material is improved, more energy can be stored in the floor layer, effect of energy saving will be more significant in building application.

This paper focuses on the effects of helium injection on the cooling performance of glass fiber cooling unit in high-speed optical fiber manufacturing, and it will present the numerical investigations of glass fiber cooling process by using the flow and convective heat transfer modeling and CFD computations.
A multi-propose commercial CFD software, FLUENT 6.3, has been employed in solving the governing equations for continuity, momentum, and energy for the numerical simulations of flow and temperature fields for both cooling gas and fast moving glass fiber.
All the simulations used the block structured computational mesh and the total number of quadrilateral cells is approximately 125,000.
Note that the species transport of two gas components is also included in the simulations.
Due to large temperature variation, temperature dependence of thermal conductivity and viscosity for the cooling gas is also considered in the simulations.