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Online since: January 2014
Authors: Yun Zhe Ji, Xiao Jie Wang
Stimulation study over the capacity of air distribution to eliminate the contaminant in isolation wards Ji Yunzhe1, a and Wang Xiaojie1,b 1College of Service, Naval University of Engineering, Tianjin 300450, PR China ajiyunzhe99@163.com, bwxjwxj1973@163.com Keywords: air distribution, ACH, CFD Abstract.
The conclusion also proves that using the CFD technology to simulate could have great guiding significance on determining the various form factors of the air distributions in the wards.
This paper will research the influencing factors of the contaminant concentration in the wards by using the CFD technology to simulate the distribution and the amount change of the contaminant granular after they are released by the contaminant source.
To eliminate 90% of the particles, the simulation result in 16ACH is 0.22min longer than the result calculated theoretically, in 12ACH 0.51min, in 9ACH 1.67min, 6CH 2.01min.
People could find from the results that the difference between the simulation result and the theoretically calculated result will increase with the increase of the ventilation rate.
Online since: September 2013
Authors: Shao Wen Shang, Yan Xing
CFD technology is used for simulation to obtain the airflow organization of the garage [1].
There are 8 induced fans with jet Angle of 15 °in this simulation [2].
In order to simulate the spatial distribution of the co released in the space of garage, the volume source is used in the CFD model to send out co, 12 pollution sources are uniform distributed on the driveway, there size is 0.5 m x 0.5 m x 0.2 m.
Numerical simulation research of no duct induction ventilation system in underground garage[D].
Numerical simulation of contaminant concentration in the underground garage.
Online since: June 2008
Authors: Yool Kwon Oh, Hee Sung Yoon, Young Sun Kim
A Study on Improvement Capture Velocity for Increasing Inhalation Efficiency of Hood in Local Ventilation System Yool Kwon Oh 1,a, Young Sun Kim 2,b and Hee Sung Yoon3,c 1 Department of Mechatronics Engineering, Chosun University, 501-759, Korea 2 Department of Precision Mechanical Engineering, Chosun University, 501-759, Korea 3 Department of Advanced Parts and Materials Engineering, Chosun University, 501-759, Korea a ygoh@chosun.ac.kr, bsobasic1964@nate.com, cjiwondong@naver.com (corresponding author) Keywords: Capture Velocity, Hood, Computational Fluid Dynamic (CFD), Gas-Guide-Device (GGD), Inhalation Force, Local Exhaust Ventilation System.
For the numerical study, computational fluid dynamic (CFD) was used to predict the improvement of flow velocity with attached GGD in hood.
In this study, among various design factors of the hood, one of the local exhaust ventilation systems, the flow phenomena around and inside the hood are analyzed to improve the capture velocity of the hood by the numerical analysis using a computational fluid dynamic (CFD).
(a) 3-D hood attached GGD (b) 2-D analysis model of 5 measurement points Fig. 1 Schematic diagram of hood attached GGD and test section Numerical and Experimental method In this study, the CFD commercial code "Phoenics 3.1" used for the numerical analysis.
Numerical results of flow velocity by the measurement conditions [unit: m/sec] Rate Point 1 Point 2 Point 3 Point 4 Point 5 5 : 5 1.305 1.468 1.306 1.478 1.304 4.5 : 5.5 1.303 1.479 1.358 1.484 1.305 4 : 6 1.311 1.484 1.370 1.491 1.312 3.5 : 6.5 1.304 1.480 1.366 1.482 1.305 b=125mm 3 : 7 1.303 1.498 1.396 1.495 1.303 5 : 5 1.304 1.443 1.309 1.439 1.305 4.5 : 5.5 1.303 1.456 1.332 1.456 1.306 4 : 6 1.309 1.479 1.348 1.469 1.310 3.5 : 6.5 1.305 1.473 1.341 1.471 1.306 b=150mm 3 : 7 1.304 1.483 1.375 1.490 1.305 5 : 5 1.307 1.419 1.260 1.387 1.308 4.5 : 5.5 1.304 1.429 1.279 1.429 1.306 4 : 6 1.312 1.449 1.308 1.460 1.313 3.5 : 6.5 1.305 1.452 1.335 1.453 1.306 b=175mm 3 : 7 1.304 1.426 1.351 1.429 1.307 Fig. 3 visually shows the results of the flow simulation when the widths of the GGD were 125 mm, 150 mm and 175 mm and their X : Y ratios were 4 : 6.
Online since: February 2014
Authors: Rui Tian, Chun Li Li, Shi Lu Xing, Jian Ming Niu, Zhong Lan Tao
Most previous studies carried out by some of the empirical method and design of experiments[7], for the optimization of hydraulic conditions less, since the 21st century, high-precision and cost-effective CFD (computational fluid dynamics) simulation technology has been widely applied the membrane bioreactor design and optimization studies of membrane fouling [8,9].
We applied the Gambit which is a CFD preprocessor mesh on the model and choose body-fitted grid (T-Grid) to ensure mesh quality.
Simulation of turbulence using standard κ-ε model.
[8]Zhang Xiuhua,Wang Daoxi, Experiment and 3-D Simulation of Airlift Loop Reactor, J.
CFD simulations of membrane filtration zone in a submerged hollow fibre membrane bioreactor using a porous media approach, J.
Online since: January 2016
Authors: Normah Mohd Ghazali, Robiah Ahmad, Husain Zaidan
Fig.2: Multi –layer heat sink: thermal resistance network for and layers Table 1: Description of Equation for Thermal Resistance network (R) Authours Channel geometry Materials, Coolant types Nature of the work, method Analysis List out all assumptions devices Description of Equation for Thermal Resistance (R) Baodong Shao, Heming Cheng (2012) L×W=6mm×6mm, and fin are 196 and 50[µm] double-layer,--- deionized water Optimization and Numerical Simulation (CFD) software& adaptive GA cool a chip power is 200[W] heat flux is 556[W/cm2] N.
Experiments and Modeling Single-Phase flow one-dimensional, simulations using CFD electronic Assuming an isothermal condition systems P.Skandakumaran,A.Ortega, T.
Skandakumaran et al. [17] developed a simple thermal resistance network model for both single and stacked(multilayer) heat sinks, Numerical simulation using CFD were performed and compared with experimental results .
The most recent study is 2007 by Shao et al. [7, 16], who developed a new method for optimization by utilizing the cross-sectional sizes of the micro-channels at the heat flux of 278[W/cm2).They optimized the configuration sizes of micro channels cooling heat sinks using the thermal resistance network model with CFD method for simulation.
Jianyun and H.M Cheng,Optimization and Numerical Simulation of Multi-layer Micro channel Heat Sink”, Procedia Engineering 31(2012) 928 – 933
Online since: June 2014
Authors: Fei Zhao, Hai Bo Yang, Dong Bai Sun, Rong Zhu, Zhi Qiang Fan
Divided into consideration specific heat ratio change and not consider two kinds of scheme design of 1.4Ma nozzle profile and build the model using the arc line method, numerical simulation is carried out through the CFD software Fluent, analysis of two kinds of design scheme comparison.
The Numerical Simulation of the Nozzle In order to compare two design is good or bad, through the CFD software FLUENT on the numerical simulation of nozzle flow field, and the simulation results were compared and analyzed.
In order to improve the accuracy of 3D model simulation.
Supersonic / hypersonic nozzle design and numerical simulation of specific heat surface[D].
Designing and numerical simulation on two dimensions supersonic nozzle[J].
Online since: July 2016
Authors: Ben Thornber, Abhijeet Kumar
Intake Design and Methodology This section will expound the intake design and CFD modelling methodology that was used for the intake studied.
Boon (2006) undertook a comprehensive CFD study of the intake.
Table 3: CFD study flow conditions Flow condition Symbol Mach 2 Mach 5 Freestream Static Pressure P∞ [Pa] 2453 5.1 Freestream Static Temperature T∞ [K] 120.55 36.83 Reynolds Number Re 21.1 x 106 0.108 x 106 Results and Discussion Viscous turbulent simulations were run on the four designed geometries.
Large eddy simulation of the transition process from regular to irregular shock-wave boundary layer interactions. s.l., 8th International Symposium on Turbulence and Shear Flow Phenomena
Numerical simulation of shock impingement on blunt cowl lip in viscous hypersonic flows.
Online since: March 2011
Authors: Zhan Qiang Liu, Chun Hui Ji
Liu1,b 1School of Mechanical Engineering, Shandong University, Jinan, Shandong 250061, China amelius@sdu.edu.cn, bji_chunhui_love@126.com Keywords: Aeroacoustic noise, Face milling cutter, Numerical simulation, Spectra analysis Abstract.
Flow field of cutter surface was numerically simulated by the resolution of the Navier-Stokes equations (CFD) and five zones on cutter surface were founded to be the important noise source.
O-center of cutter; O’-observer; S-source cell Fig.1 Observer’s position as so as the source of noise Calculation and analysis of flow field using computational fluid dynamics (CFD) In order to capture the complicate and complex physical features of a face milling cutter, a commercial computational fluid dynamics (CFD) code, Fluent, is applied to perform the flow field analysis, which solves the Navier-Stokes equation using an unstructured finite volume-method.
Simulation and analysis of aerodynamics for high speed face milling cutters.
Online since: July 2011
Authors: Tao Jiang, Guang Yan Xue, Yi Ping You
Numerical simulation is carried out by the fluid dynamic analysis software to truly reflect the coupling effect of different types of flow field on various rods of truss structure.
Wind load analysis of typical truss structure based on CFD Structure analysis conditions Based on a certain 1000 tons crawler crane truss structure, establishing truss structures geometric model (see Fig.1).
The comparion between the simulation results and the analysis results according to standard rules is shown in Fig.5.
Conclusions Based on a certain 1000 tons crawler crane truss structure, numerical simulation has been carried out to analyze the effect of wind load on the truss structure in steady-state wind field and dynamic-state wind field.
To the calculation according to the design rules, the analysis based on CFD can accurately simulate the working condition of truss structure, and the information of stress distribution in flow field is expressed comprehensively.
Online since: December 2025
Authors: Andrey N. Dmitriev, Mikhail M. Tsymbalist, Yulia E. Burova, Galina Yu. Vitkina
The development of computing power and Computational Fluid Dynamics (CFD) methods has enabled the creation of 3D models that facilitate the simulation of multidimensional physical and chemical processes in a blast furnace.
Review on modeling and simulation of blast furnace, Steel research international. 89 (2018) 1700071
Simulation of the blast furnace process by a mathematical model, ISIJ international. 32 (1992) 470-480
Discrete particle simulation of solid flow in a three-dimensional blast furnace sector model, Chemical Engineering Journal. 278 (2015) 339-352
Three-dimensional CFD-DEM simulation of raceway transport phenomena in a blast furnace, Fuel. 334 (2023) 126574
Showing 2471 to 2480 of 5269 items