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The simulation result showed that this method can satisfy the requirement of precision and provide reference for the analysis of the flow field which had the established relationship between structural parameters and laminar flow within it.
CFD software based on Finite Element Analysis is commonly used to analyze such flow field.
CFD geometry with multi-plate, simplified CFD geometry and their meshing graphs The setup in ANSYS® FLUENT® is as following: laminar model, density is 998.2kg/m3, viscosity is 0.001003kg/m –s, velocity magnitude of inlet is 0.000381m/s.
The results of simulation showed that the range of errors was small enough between two solutions, and it can meet the requirements of practical application.
This simplified method provided alternate means for some CFD research field that could be analyzed indirectly.

Gas-solid flow behavior of the bottom zone of a 65t/h High-low bed CFB was simulated using the commercial computational fluid dynamics (CFD) software package Fluent.
Nowadays, with the enhancement of computer performance, CFD models have enjoyed great development.
Yu qing feng [4], Wang qinggong [5] study the gas-solid two phase flow of High-low circulating fluidized bed via numerical simulation with EEM model. 2D CFD simulation of gas-solid flow profile of the bottom zone of the High-low bed CFB is performed using EEM incorporating the kinetic theory of granular flow in this study.
Simulation Settings The 2D geometry of the dense zone is shown in Fig. 1.
In addition, a constant time step of 5e-4 s was used, and the simulation was performed for 5s of real fluidization time.

According to the simulation results from CFD, the node loads at the interface of pump wheel and the working fluid were obtained and the torque and axial force were predicated.
The pressure and velocity fields in a coupling can be obtained from a CFD simulation.
A further study was made by Yongquan Wang etc. in Ref.11, where the deformation model of wheel was exported to CFD again and the simulation result showed that the deformation of which has small influence on flow field .
CFD analysis.
Contours of results simulation.

Numerical Simulation of the Flow of Inflatable Cover Based on FLUENT Jianhua Wang1,a, Changzhi Xiao 1,2,b, Jinghui Wang 2,c, Ligang Cai 1, Lishui Cui2 and Tiejun Wang2 1Beijing University of Technology, No.100, Pingleyuan, Chaoyang District, Beijing, P.R.China 2National Institute of Metrology P.R.China, No.18, Bei San Huan Dong Lu, Chaoyang District, Beijing, P.R.China awjh@bjut.edu.cn, bxiaocz@nim.ac.cn, cwangjh@nim.ac.cn Keywords: blackbody radiation source, inflatable cover, CFD simulative, FLUENT Abstract.
This paper presents a new way for performing numerical simulation for the three-dimensional inner flow field analysis of new inflatable cover and blackbody radiation source cavity by using the FLUENT software of CFD.
The experimental test results were consistent with the simulation results to verify the accuracy of the simulation.
Summary This paper performed numerical simulation for the flow field of inflatable cover and blackbody radiation source cavity by using FLUENT software of CFD to acquire the characteristics of pressure, velocity and temperature of the cavity which then had a detailed analysis and description, and then with the acetone tracer particles experiments verified the accuracy of the analytical results that revealed how the outside air entered into the cavity to cause the frost, dew and mist, these can shorten the development cycle of new inflatable cover.
Fujun: Computational Fluid Dynamics Analysis-Principle and Application of CFD Software (Tsinghua University Press, Beijing 2004)

Commercial CFD software ANSYS FLUENT is used to simulate the heat dissipation process during battery discharge using PCM and traditional forced air cooling methods.
CFD simulation model under PCM conditions In order to get a sound view of the heat dissipation process under PCM cooling condition, CFD simulation is performed using commercial software ANSYS FLUENT.
Simulation comparison In order to make a comparison between the cooling effect of PCM and forced air conditions, CFD simulation is performed with the aide of ANSYS FLUENT.
A simulation model of a 12-cells (18650) battery pack is established.
A virtual air passage with its size of 100mm*120mm*100mm is added in the simulation process to form a uniform wind field.

CFD Modeling of Urea-SCR Converter Geometric Model and Mesh Generation.
The CFD mesh generated with ICEMCFD was imported into CFD software FIRE to calculate.
Simulation Results and Analysis The flow field and concentration distributions of SCR system in A50 condition were analyzed.
The CFD model of full scale SCR system with a simple blade SCR mixer was shown as Fig. 9.
Terres, Optimization of Catalytic Converter Gas Flow Distribution by CFD Prediction.

Optimal Design Grape Rain Shed Based on CFD and GSCAD Jian Wang 1, a, Hong Bing Yang 2, b 1College of Horticulture, Nanjing Agricultural University, Nanjing, China 210095 2College of Engineering, Nanjing Agricultural University, Nanjing, China 210031 awangjian@njau.edu.cn, bhbang@njau.edu.cn Keywords: CFD, Plated PE plastic steel pipe, Multi-span grape rain shed, GSCAD, Design Abstract.
The wind pressure distribution of multi-span grape rain shed frame is simulated by CFD software, and the structure of multi-span grape rain shed is optimized in this paper.
Fig. 1 Schematic diagram multi-span grape rain shed Introduction to CFD numerical simulation method Computational fluid dynamics (CFD) is a sophisticated design and analysis tool that allows us to study different design limitations based on a computational model.
The CFD software used in the present work was FLUENT 6.2.
Wind pressure distribution simulation of multi-span grape rain shed based on CFD.

Student *Corresponding author: LI Jian-ping, Male, Professor Keywords: CFD, Twisted-tape, Flow field, Heat transfer, Parameters optimization Abstract.
The model of heat transfer tube was established to obtain the distribution of velocity field, temperature field and pressure field with the aid of the computational fluid dynamics (CFD).
Simulation Results.
Table 1 shows how the physical properties of the fluid are designated in the simulation.
Conclusion In this paper, CFD has been adopted to simulate velocity field, temperature field and pressure field in the pipe with and without twisted-tape inserted.

From the computational fluid dynamics (CFD) simulation of Servco fume cupboard using κ-ω turbulence model, it is found that recirculation region behind the sash is the potential contributor to the leakage of the contaminants due to its large size.
In this paper, the effect of baffle openings on flow distributions of a Servco fume cupboard will be presented as a result of computational fluid dynamics (CFD) simulation using κ-ω turbulence model.
Introduction From the computational fluid dynamics (CFD) simulation of Servco fume cupboard using κ-ω turbulence model, it is found that recirculation region behind the sash is the potential contributor to the leakage of the contaminants due to its large size [1].
In this paper, the effect of baffle openings on flow distributions of a Servco fume cupboard will be presented as a result of computational fluid dynamics (CFD) simulation using κ-ω turbulence model.
CFD Set-up.

Simulation Analysis on Wastewater Anaerobic Tank Stench in Collecting Hood with Properties of Environmental Materials Zhao Du1,4,a, Ning Du2,b, Yujie Chen3,c 1School of Environmental Science and Engineering, Hebei University of Science and Technology, Shijiazhuang Hebei 050018, People’s Republic of China 2Shijiazhuang Light Industry Technical School, Shijiazhuang Hebei 050051, People’s Republic of China 3Shijiazhuang Mechanic Technical School, Shijiazhuang Hebei 050061, People’s Republic of China 4Pollution Prevention and Control Key Laboratory of Biotechnology in Hebei Province, Shijiazhuang Hebei 050018, People’s Republic of China aduzhao12@163.com, b1311156002@qq.com, ccyj850620@163.com Keywords: Anaerobic Tank，Stench-collecting Hood，CFD Abstract.
Computational fluid dynamics(CFD) is an effective approach to study with standard κ—ε turbulent model.
CFD predominate results show that: the exhaust flow, tuyere pressure, velocity and pollutant concentration had a greater influence on the flow field distribution.
Using fluent software module to the model of flow field simulation, the standard kappa epsilon - predominate turbulence model is a simulation indoor 3 d gas turbulence model is good.
Simulation results At z = 0.5 m above the liquid level of the static pressure contours (Fig.3) and velocity contours (Fig.4), the concentration of cloud image (Fig.5), Air – Pressure relation Curve (Fig.6).