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Online since: July 2014
Authors: Jin Li, Yuan You
Name Section view Axonometric drawing Description Modal a Planar dimensions: 75m*75m Side interfaces on the windward side and the leeward side: Vertical Window height: 1.2 m Sash: center-pivoted type Modal b Planar dimensions: 75m*75m Side interfaces on the windward side and the leeward side: Tilting outward by 60° Window mode: The same as model a Model c Planar dimensions: 75m*75m Side interfaces on the windward side and the leeward side: Tilting inward by 60° Window mode: The same as model a Note: On the section views, air flows from left to right. 1.2 Determination of the air flow equation In the simulation based on Fluent software in this paper, the standard k-ε two-equation model, i.e. a semi-empirical model including a transfer equation about turbulent kinetic energy and another about diffusion rate, was used.
Table 5 Average Wind Velocities in the Seating Area in Different Models Model Average wind velocity in the gallery seat area on the windward side (m\s) Average wind velocity in the stall area on the windward side (m\s) Average wind velocity in the stall area on the leeward side (m\s) Average wind velocity in the stall area on the windward side (m\s) Model a 0.142 0.415 0.075 0.049 Model b 0.234 0.709 0.197 0.062 Model c 0.096 0.618 0.113 0.075 In the nephograms and vector diagrams about wind velocity simulation, the warmer the colors, the larger the corresponding wind velocities will be; the cooler the colors, the smaller the corresponding wind velocities will be.
Computational Fluid Dynamics Analysis: Theory and Application of CFD Software [M].
CFD and Architectural Environment Design [M].
A CFD-based test method for control of indoor environment and space ventilation [J].
Online since: August 2013
Authors: Juan Xu, Zong Rui Hao, Hai Yan Bie, Zhong Hai Zhou
Study of flow characteristics of oil and water in the process of stirring Zongrui Hao1, a, Juan Xu1, b, Haiyan Bie2, c Zhonghai Zhou1 1 Institute of Oceanographic Instrument of Shandong Academy of Science, Qingdao, 266001, China 2 College of Chemistry and Chemical Engineering of Ocean University of China, Qingdao, 266100, China ahaozr001@sina.com, bxujuan101066@163.com, csalany001@163.com Keywords: Stirring, Multiphase flow, Flow pattern, Numerical simulation Abstract.
Numerical simulation results and analysis As the density of oil is lower than water, the influence of oil-water is the combined action of the buoyancy and the shearing force in the stirring process.
CFD simulation of liquid-phase mixing in soild-liquid stirred reactor, Computers and Chemieal Engineering.
Online since: February 2012
Authors: Feng Liu, Liang Ma, Liang Liang Chen, Guang Hui Wei
The simulation velocity magnitude is compared well with the measured data.
Otherwise, if the direct simulation of gas-water two-phase unsteady flow, iterative calculation is easy to divergence[9].
Compare simulation value of velocity with measured value, both in good agreement.
It show that the mathematical model is correct, use plant dam-domain simulation in porous media coverage is feasible.
[5] Wang Fu-jun Computational Fluid Dynamics analysis—CFD Software Principles and Applications.
Online since: October 2011
Authors: Miao Yin Su, He Quan Lu, Jie Gang Mu, Shui Hua Zheng, Jin Jing Zhao, Hui Wang
The paper studies the relationship between axial force and breadth of back blade by numerical simulation and experiment.
Table 1 The range of back blades breadth t back blades breadth t (mm) 2 3 4 5 5.5 t/s (%) 33.3 50 66.7 83.3 91.2 Numerical Simulation and Analysis To the centrifugal flow field numerical simulation, the first step is to using the corresponding three-dimensional CAD software to modeling the flow field area, the flow field grid by the discrete space only after modeling of the fluid region, and finally set the boundary conditions of the end CFD software is used to import mesh solver for a reasonable simulation.
And then compare the results of numerical simulation and the experiment in graph is shown in Fig. 8.
Fig. 8 The results of numerical simulation and the test Comparison graph It can be seen from the above graph that the two curves of numerical simulation result and experimental result is basically the same, which proves reliability of the numerical simulate result.
Moreover, it is clearly shown that the value of the numerical simulation result is larger than experiment result.
Online since: November 2006
Authors: Marcos A.S. Barrozo, Claudio Roberto Duarte, Valéria V. Murata, R.A.A. Rosa
THE USE OF CFD TECHNIQUE IN THE STUDY OF THE SPOUTED BED C.
Numerical simulations have become popular in the field of dense gas-solid two-phase flows.
Many researches have been making numerical simulations of fluidized beds and spouted beds.
Numerical simulation is a useful tool to get detailed information about the phenomena without disturbing the flows.
Online since: August 2013
Authors: Qian Wang, Jin Bai, Zhi Xia He, Peng Gang Zhang
Influence of Piston Initial State on HCCI Combustion in Micro Free-piston Engine Using Experiment Images and CFD Analysis Jin BAI Qian WANG Zhixia HE Penggang ZHANG School of Energy and Power Engineering, Jiangsu University, Zhenjiang 212013, China perking1984@yahoo.cn Keywords: free piston, micro engine, HCCI, visualization, numerical simulation Abstract:The visualization experimental setup of micro free-piston engine has been built, the process of single shot compression combustion in micro combustion chamber has been observed by the high-speed digital camera; Based on the propane combustion kinetics, the numerical calculation method for combustion process coupling with the free-piston movement was put forward, through editing the dynamic mesh subroutine in STAR-CD, the process of homogeneous charge compression ignition (HCCI) in the micro chamber was studied; The influence of piston initial state on HCCI combustion process was analyzed , indicating that the piston mass
In this paper, combined with the visualization experiment and numerical simulation method, the influence of piston mass and initial velocity on the process of HCCI in micro free piston engine was analyzed quantitatively.
Fig.2 Experimental setup Fig.3 The compression combustion process under different gap conditions Model validation.As the experiment work is developing gradually, the numerical simulation is also developing at the same time, validation of experiment and simulation results is necessary and meaningful.
Fig.5 makes good comparison of experimental and numerical simulation results, and more variable parameter simulation could be calculated.
Fig.4 Images from experiment Fig.5 A comparison of piston position data Results and discussion Simulation results under different piston mass.Fig. 6(a) to 6(c) show the simulation results of HCCI compression combustion under different piston mass conditions, the micro combustion chamber diameter is 3mm, the free-piston initial velocity is 30m/s, the equivalence ratio is 0.5, the initial temperature is 300K, the initial pressure is 0.1Mpa, and the piston mass are respectively 0.5g,1g,1.5g and 2g.
Online since: August 2013
Authors: Ming Guo Hua, Zhen Jiang Yu, Bo Wei Lei
Fig.3 Air flow model Fig.4 Gas in goaf and workface diffusion model Fig.5 Nephogram of gas concentrations distribution in goaf without drainage measure Analysis of numerical simulation of draining goaf methane with pipe at the upper corner To make sure of the proper methane drainage parameters of the upper corner, coordinated with actual conditions of N3-8 workface, numerical simulation on the height of 0.6-2.4m from the bottom in return airway is adopted.
According to the actual situation of Changcun coal mine working face N3-8 site,the upper corner area is blocked with closed wall piled sacks filled with waste rock.A relatively confined space is formed in the upper corner that gas can gather, thus facilitating the drainage.In the numerical simulation process, closed wall blocked on the corner can be approximately regarded as a long-2m, thick 1m ,high 1.8m entity, the entity for the porous medium, the porosity of 0.5%, the viscous coefficient.The gas in the working face of simulation after the drainage effect as shown in Figure 10.The simulation results show that drainage gas concentration in the pipe can reach 31%, the concentration of gas in upper corner down to 0.6% after the plugging measures are taken at the upper corner.
Field application situation According to the drainage parameters determined by the numerical simulation,we do the mobile gas extraction technology experiments in the face of the Lu'an Group Changcun Coal N3-8.The site gas concentration measured results and numerical simulation results are basically the same.The concrete measured data shown in Fig11 .
(5)The face of the Changcun Coal N3-8 is used as experimental field,doing the piping layout based on the parameters determined by numerical simulation,and the actual application results and the simulation results are basically the same.The drag pipe drainage technology provides a feasible new method to manage the gas of the upper corner.It has important significance for reducing the gas concentration of the upper corner and ensuring safety in production.
[In Chinese] [3] Hu Qianting,Liang Yunpei,Liu Jianzhong.CFD simulation of goaf gas now patterns[J].Journal of China Coal Society,2007,32(7):719-723.
Online since: June 2020
Authors: Qing Hao Yang, Xin Jian Xie, Jia Qi Liu
The structure of growth chamber is designed and optimized according to the simulation result.
In this simulation, the horizontal VPE growth system is used.
It is illustrated in Fig.3 that the simulation of AlN concentration was studied.
Therefore, it is important to choose the appropriate mesh density in the simulation process.
[15] Yang C, Zhu Z T, CFD based Flow Field Analysis of Shielding Gas in Ultrasonic Assisted Laser MIG Hybrid Welding Torch[J], Materials Reports, 2018, 32 (S1): 539-542
Online since: October 2011
Authors: Tao Sun, Yun Liang Yu, Zhong Yi Wang, Shu Guang Chu
By the method of numerical simulation, researches on cylindrical exhaust ejector, lobed exhaust ejector and lobed exhaust ejector with twisted blades are conducted in this paper to study the effects of different ejector structures on flow field uniformity.
Numerical Simulation Lobed exhaust ejector uses lobe nozzle to strengthen mixing of secondary flow and primary flow to improve ejector coefficient, achieve adequate mixing in a very short axial distance.
To avoid the influence of mesh accuracy on flow, refined grids are adapted, which can improve simulation accuracy and control grid quantity.
Table 3 Ejector coefficient statistics Model I Model II Model III Ejector coefficient n 1.32 1.29 1.31 Conclusions Through numerical simulation of the cylindrical ejector, lobed ejector and lobed ejector with twisted blades, we can achieve conclusions as follows: 1.
Birk: Experimental and CFD Study of An Exhaust Ejector with Round Entraining Diffuser, in: Proceedings of ASME Turbo Expo 2007: Power for Land, Sea and Air.GT2007-27643 [5] Zhang J Z, Li L G, Wu G C: submitted to Journal of Nanjing University of Aeronautics&Astronautics.1996. (06), 745- 749
Online since: November 2013
Authors: T. Kishen Kumar Reddy, B. Srivastha, B. Majumdar, M. Sowjanya
Simulation of Initial Ribbon Formation during Planar Flow Melt Spinning Process M.
Fig. 1 Schematic of PFMS process Fig. 2 Air domain – A 3D model used in the simulation.
A 3D model is developed to simulate the ribbon formation during planar flow melt spinning process using commercial CFD software.
Temperature dependent viscosity and constant surface tension are considered for the molten metal during simulation.
Hence, simulations were carried out up to 1.2 ms with a time step of 1e-5.
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