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Online since: June 2007
Authors: Said Mufarji, Donald Igwegbu, Babs Mufutau Oyeneyin
The technique integrates CFD and 3-D reservoir simulation concepts to define and quantify the effects of different operating conditions on discretised reservoir blocks.
The study was carried out using a modelled computational grid block generated by the CFD solver.
The CFD simulation results comparison of instantaneous velocities between liquid phase and solid phase is one of the key features which makes the investigation more realistic compared to experimental studies which can not measure individual solid particles speeds separately in a multiphase of oil, water, gas and fines while all continuously flow together.
Such simulation results as shown in Fig. 3, were further analyzed.
A unique technique that integrates CFD and 3-D reservoir simulation concepts to define and quantify the effects of fines migration in a multiphase environment has been initiated for the first time.
Online since: November 2011
Authors: Qing Zhen Yang, Li Hai Chen, Jin Hui Cui
So, the method of numerical simulation has become more and more popular[4,5].
Fig.1 Geometry of the baseline and ejector nozzles Simulation of CFD The simulation of CFD is the basis of the IR computation and is calculated with FLUENT.
This method is based on the connectivity information of the CFD mesh.
The numerical simulation model of infrared radiation characteristics for the aeroengine exhaust system has been built and a code is developed with RMCM combining with the CFD calculation.
Backward monte carlo method simulation in radiative heat transfer.
Online since: October 2013
Authors: Jian Xin Chen, Qing Wu, Li Ping Guo, Yin Hui Li, Ai Dang Lu
The use of Computational Fluid Dynamics (CFD) has changed the traditional design process.
The Star CCM+ model used in this paper is new generation simulation software of CFD.
The flow field simulation of mixing process can be classified as flow field simulation contains the moving parts.
Geometry files are imported into CFD software of Star CCM+ for grid partition.
Study and Multi-Phase CFD Modelling of Ammoium Sulphate Crystallization.
Online since: February 2026
Authors: Tien Chien Jen, Samuel Ogbonna Enibe, Alexander Achanya Agada, Onyebuchi Israel Ibeagwu
A CFD simulation was carried out because of the following reasons: 1.
Time Efficiency: the CFD simulations is typically faster than building physical prototypes or conducting experiments.
Initial efforts to run the simulations on a computer with 4 GB RAM failed.
[14] Rek Z, Rudolf M, Zun I, (2012) Application of CFD Simulation in the Development of a New Generation Heating Oven, J.
[15] Misha S, Mat S, Ruslan M.H, Sopian K, Salleh E, (2013) The Prediction of Drying Uniformity in Tray Dryer System using CFD Simulation, Int.
Online since: October 2011
Authors: N. Karthikeyan, B T N Sridhar
Also, the experimental results show that the radial and centerline pressure profiles through various coaxial jets has good correlation with the CFD simulation.
A CFD model was developed and compared with the experiments.
At NPR 2.5 for x/D closer to exit plane the pressure is over-predicted by the CFD.
Ø A CFD simulation using ‘k-e’ two equation turbulence model was performed to predict the mixing characteristics of the supersonic jets.
It confirms that the simulation results have a good agreement with experimental measurements.
Online since: July 2014
Authors: Jing Yin Wang, Rui He Wang, Yong Huang, Li Hong Zhu
The effects of the particle size on the erosion of the plugged tee are studied by computational fluid dynamics (CFD).
Mathematical models of the flow of the compressed air with the entrained cutting particles through the plugged tee are built and imported into the CFD through embedding procedures.
Prepare for CFD Simulation The geometric model of the CFD simulation is the internal flow field of the plugged tee, as is shown in Fig. 1.
After boundary conditions and the parameter of the particle size are given, the simulation results are obtained.
According the simulation results, the residence time of the particles in the inlet section is obtained (Table 1).
Online since: November 2011
Authors: Lin Wang, Shinya Kawamura, Osamu Tonomura, Shinji Hasebe
First, γ is determined by CFD simulation-based pilot studies.
Finally, the design result is validated through CFD simulation.
CFD simulations are executed for four T-MRs with different dimensions.
Finally, the validity of the eP3DLAM-based design result was confirmed by CFD simulation.
The parameters in eP3DLAM are determined on the basis of four CFD simulation results.
Online since: August 2013
Authors: Hsien Te Lin, Ian Hung, Yu Chung Wang
ananodogy@yahoo.com.tw blinsiraya@yahoo.com.tw cta.yang168@msa.hinet.net Keywords: Stratified air conditioning design, Assembly hall, CFD Abstract.This study focuses on the performance of air conditioning design at the Dazhi Cultural Center and uses a computational fluid dynamics (CFD) simulation to discuss the differences in wind velocity and ambient indoor temperature between “all-zone air conditioning design” and “stratified air conditioning design”.
The study uses CFD simulation software to compare the indoor environment quality of the stratified air conditioning design with the all-zone air conditioning design.
Fig. 1 All-zone air conditioning design Fig. 2 Stratified air conditioning design (Blue arrows mean air outlets, red arrows mean return vents) Methodology 1) Study methods and tools Computational fluid dynamics (CFD) has been widely regarded as a useful tool in the building environment in recent years, so this study also uses CFD software to simulate the indoor air environment.
The all-zone air conditioning design The stratified air conditioning design Section A (21.0℃) (20.1℃) Section B (22.2℃) (20.5℃) Section C (23.5℃) (21.8℃) Fig. 5 Temperature graphs of three sections (The values are average temperature of seating and stage areas) Conclusion In this study, the three conclusions are as follows: 1) The simulation of the all-zone air conditioning design clearly shows that most cold air is wasted in the top space of the assembly hall.
However, as the distance between air outlets and people in the assembly hall is closer, the location of air outlets and return vents must be carefully designed to avoid excessive or inadequate airflow. 3) The results of CFD simulation comparison of the all-zone air conditioning design with the stratified air conditioning design under the same airflow volume reveal that stratified design is better in the wind velocity and temperature fields, it can increase 0.02~0.09m/s of the wind velocity and decrease about 2℃ temperature than the all-zone air conditioning design, They prove that the use of stratified air conditioning design in assembly halls is feasible and useful.
Online since: August 2013
Authors: Jing Zhao Zhang
CFD Design and Analysis on Circular Slotted Fin Surfaces of Two-row Tubes Heat Exchangers Jingzhao ZHANGa Key Laboratory of Western Mine Exploitation and Hazard Prevention Ministry of Education, School of Energy Engineering, Xi'an University of Science and Technology, Xi'an 710054, China azhangjz98@126.com Keywords: CFD, numerical simulation, slotted fin surfaces, Nusselt number Abstract.
The major purpose of the present study is to design an efficient circular slotted fin surface for use in gas intercoolers through CFD software.
CFD Model Physical Models.
The physical parameters of the air, fin and tube in the numerical simulation are presented in Table 2.
Results of the numerical simulation Comparison results of Nusselt number under identical pressure drop are shown in Fig.4 (b).
Online since: July 2017
Authors: Beatriz Cristina Silvério, Kássia Graciele dos Santos, Dilson David Luiz Costa, Leticia Vitareli Souza, Ricardo Francisco Pires, Davi Leonardo Souza, José Luiz Vieira Neto
For this, was performed simulations through the CFD and DEM techniques to evaluate the influence of the parameters: restitution coefficient (h ), friction ( m f ) and the coefficient of elasticity or spring ( K ) of the linear model "spring-dashpot".
Simulations Methodology.
In this work, an Eulerian control-volume multiphase CFD governing equation [10] was used to simulate the gas phase using the CFD package ANSYS FLUENT® 14.0.
The CFD-DEM calculates the velocity field for the fluid phase, and uses these data to calculate the particulate phase.
CFD-DEM Simulations.
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