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Online since: September 2014
Authors: Xiu Guo Zhao, Xin Xi Xu, Chen Su, Fu Niu, Shu Lin Tan, Jun Shu Han, Xu Dong Ren, Wen Chang Zhang, Zhen Hai Gao
Introduction The computational fluid dynamics (CFD) has become a kind of the most common and effective method, is used to analylzeyse indoor environment including flow field and temperature distributions distribution[1].
CFD can cope with the problem of fluid flow, heat transfer, and contamination transport.
The distributions rule for flow field and temperature field are analyszed based on the numerical simulation results[2-6], which can provide foundation for designing reasonable ventilation system based on optimizing air motion.
The three conversation principles, involving mass, momentum and energy are fundamental to CFD simulation[8].
An Eexample of Vverification, Vvalidation, and Rreporting of Iindoor Eenvironment CFD Analyses.
Online since: August 2011
Authors: Peng Li, Han Chen, Xue Dong Chen
Computational fluid dynamics (CFD) was employed to numerically calculate the air flow field.
Then, the numerical simulation study was carried out with the well-known CFD soft—FLUENT to obtain the load carrying capacity, stiffness and pressure distribution in the bearing clearance.
Table 1 Parameters of different restrictors Case Bearing code Restrictor type Supply hole diameter [mm] Supply hole height [mm] Spaceing distance between supple holes [mm] 1 1X0.30 Single hole 0.30 0.35 0 2 4X0.15 2X2 four holes 0.15 0.35 0.4 3 9X0.10 3X3 nine holes 0.10 0.35 0.3 Governing Equations of CFD Simulation and the Boundary Conditions Governing Equations.
Simulation Results and Discussions Validity of the Numerical Simulation.
Fig.3 Comparison of CFD results with experimental data in [9].
Online since: December 2013
Authors: Nilotpala Bej, Kalyan Prasad Sinhamahapatra
CFD study on the effects of nozzle number on turbulent flow and energy separation in a Ranque-Hilsch vortex tube Nilotpala Bej1,a, K.P.
Simulation results and discussion The simulations of multi-nozzles 3D models have been carried out on a 72 cores SUPERMICRO High Performance Computing (HPC) Machine.
Total pressure contours in RANS simulation with two nozzles Fig. 4.
Total pressure contours in RANS simulation with four nozzles Fig. 5.
Total pressure contours in RANS simulation with six nozzles Fig. 6.
Online since: January 2016
Authors: Wan Mohd Faizal Wan Mahmood, Mohamed Abed Alabas Siba, Rasidi Rasani, Mohd Zaki Nuawi, Mohamed Nassir
The turbulent flow in orifice plate was investigated and solved numerically using 3-D Navier-Stockes (N-S) equations by employing commercial CFD code ANSYS.
For applying CFD, the proper selections of grid level and turbulence model are important to describe fluid motions.
The choice of turbulence model depends on considerations such as the physics encompassed in the flow, the established practice for a specific class of problem, the level of accuracy required, the available computational resources, and the amount of time available for the simulation [10].
The solution was carried out using commercial CFD code ANSYS, version 14.0 and mesh of 2,350,000 elements and convergent solutions were sought such that the residuals fell below error of 10- 4.
CFD analysis of incompressible turbulent swirling flow through Zanker plate.
Online since: December 2010
Authors: Yuan Yi Liu, Rui Guang Li
With the development of computer technology and fluid dynamics, a significant way of research about fluid flow is constituted by numerical simulation, theoretical analysis and experimental study.
Numerical simulation of Impeller -machinery has now become the most active area of research [1].
The paper bases on the Renault-averaged Navier-Stokes equations and a standard turbulence model, creates impeller and draft-tube molding separately of CFD and predicts the properties of stamping and welding multistage centrifugal pumps by CFD numerical calculation.
Analysis of CFD of Impeller and Draft-tube Clearance Value.
Through to implement numerical simulation of flow Q= 2, series J=4 for low specific speed welding multistage centrifugal pumps, it has exposed the interior flow characteristic and mechanism of impeller and draft-tube.
Online since: June 2014
Authors: Lin Hua Piao, Jing Bo Chen, Jing Jing Zhao, Xia Ding
Using ANSYS-FLOTRAN CFD software, the finite element simulation is conducted by a series of procedures, such as two-dimensional model building of gyroscope, meshing, loads applying and equation solving, and two dimensional airflow distribution of different outlet diameters in sensitive element are calculated.
In this paper, we use the FLOTRAN CFD analysis of ANSYS software to have a comparative study in the two different nozzle dimensions, and try to illustrate the meaning of outlet dimension improve the properties of fluidic gyroscope.
Fig. 3 Two-dimensional simplified model of cavity Solve with Finite Element Method The FLOTRAN CFD analysis of ANSYS software is an advanced tools used to study two dimensional and three dimensional flow fields, the simulation typically comprises modeling, loading and solving [4].
Select FLOTRAN CFD analysis of ANSYS software.
“Numerical simulation of practical engineering in ANSYS”[M].
Online since: December 2010
Authors: Ming Hsiang Shih, Yu Kuang Zhao, Ting Yu Chen, Wen Pei Sung
n Fig.1 shows the CFD simulation results that reveal a greater variation in the east wall outside temperature.
At 2:00 pm, the simulation indicates that the westward rooftop outside temperature rises with the moving solar radiation so that the thermal flow movement is the fastest at this place.
n The CFD simulated results are shown in Fig. 3.
At 8:00 am, the simulation indicates that under the influence of the cold current, the building outside temperature is lower than expected.
/Date Jul. 29.1 35.3 23.8 83.5 5.2 72 43/9 9 Apr. 22.5 30.9 14.8 303.0 5.9 72 45/28 13 Fig.1 The CFD simulation results of temperature (summer) (a) 8:00 am Fig. 1The CFD simulation results of temperature (summer) (b) 2:00 pm Fig. 2 The CFD simulation results of air stream (summer) (a) 8:00 am Fig. 2 The CFD simulation results of air stream (summer) (b) 2:00 pm Fig.3 The CFD simulation results of temperature (winter) (a) 8:00 am Fig. 3 The CFD simulation results of temperature (winter) (b) 2:00 pm Fig. 4 The CFD simulation results of air stream (winter) (a) 8:00 am Fig. 4 The CFD simulation results of air stream (winter) (b) 2:00 pm east wall outside temperature east wall inside temperature temperature difference 8:00am 10:00 am 7:00 pm Figure 5.
Online since: October 2015
Authors: Mark Jermy, Tim Flint, Tze How New, Wei Hua Ho
Methodology CFD Methodology.
The Large Inflation Refined case was used for the simulation.
CFD (i) and Experimental PIV (ii) results are shown side by side.
Comparisons between CFD and PIV results.
The positions of TEVs are well matched by the CFD results.
Online since: September 2013
Authors: Qiu Xia, Xiang Pan Guang
Simulation Analysis Model of CFD Analysis.
This paper established two kinds of CFD model: Traditional model and optimization model.
FLUENT simulation and result analysis.
Simulation results of the traditional model Figure 4 is the simulation results of water hydraulic poppet valve of the traditional model.
Simulation results of the optimization model Figure 5 is the simulation results of water hydraulic poppet valve of the optimization model.
Online since: April 2013
Authors: Han Chen, Xue Dong Chen, Jin Cheng Zhu
In order to capture details of transient turbulent flow, large eddy simulation (LES) is employed.
CFD Methodology.
In this study, the computational fluid dynamics (CFD) software ANSYS-Fluent is employed, and particularly, the large eddy simulation (LES) method is used to capture the transient turbulent flow field.
The air used in the simulation is assumed to obey the ideal gas law.
In order to justify our CFD model, the existing experiment data [7] on pressure distribution in an aerostatic bearing are utilized for comparison.
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