scholarly journals How Does Your Fluid Flow?

2003 ◽  
Vol 125 (12) ◽  
pp. 35-37
Author(s):  
Jean Thilmany

This article reviews the method of analyzing fluid flow in structures and designs, which is enjoying a burst of interest. Twenty years later, manufacturers across a myriad of industries are licensing the technology from a pool of vendors who now market computational fluid dynamics (CFD) packages of many stripes. Engineers use CFD to predict how fluids will flow and to predict the quantitative effects of the fluid on the solids with which they are in contact. Airflow is commonly studied with the software. Many mechanical engineers do not need access to all the bells and whistles an advanced CFD program can provide. Advanced analysis programs are usually the purview of a user trained on a particular CFD package. Engineers used CFD to determine how to best position the fans so that air flowed inside the refrigerator and the freezer in the most efficient way. After studying fluid flow simulations, they made prototypes of the most promising modeled designs to see if the prototypes matched CFD simulation results.

Author(s):  
M. Alfaro Cano ◽  
A. Hernandez-Guerrero ◽  
C. Rubio Arana ◽  
Aristotel Popescu

One of the requirements for existing personal computers, PCs, is that the hardware inside must maintain an operating temperature as low as possible. One way to achieve that is to place the hardware components at locations with enough airflow around it. However, the relationship between the airflow and temperature of the components is unknown before they are placed at specific locations inside a PC. In this work a Computational Fluid Dynamics (CFD) analysis is coupled to a Design of Experiment (DOE) methodology to answer typical minitower key questions: a) how do the possible positions of hardware components affect their temperature?, and b) is it possible to get an optimal placement for these hardware components using the data collected by the CFD simulation results? The DOE methodology is used to optimize the analysis for a very large number of possible configurations. The results help in identifying where the efforts need to be placed in order to optimize the positioning of the hardware components for similar configurations at the designing stage. Somehow the results show that general conclusions could be drawn, but that there are not specific rules that could be applied to every configuration.


2012 ◽  
Vol 557-559 ◽  
pp. 2249-2252 ◽  
Author(s):  
Song Lin Xu ◽  
Wen Qiang Mi

A computational fluid dynamics (CFD) model was used to simulate unsteady fluid flow in a two-dimensional channel. The flow was computed for several different geometries and velocity. Calculations show different flow patterns of the cavity spacer, the submerged spacer and the zigzag spacer. Applications of two-dimensional CFD simulation give a visual method to determine the advantages of each spacer type.


Author(s):  
S N A Ahmad Termizi ◽  
C Y Khor ◽  
M A M Nawi ◽  
Nurlela Ahmad ◽  
Muhammad Ikman Ishak ◽  
...  

2013 ◽  
Vol 368-370 ◽  
pp. 599-602 ◽  
Author(s):  
Ian Hung ◽  
Hsien Te Lin ◽  
Yu Chung Wang

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 results have strong implications for air conditioning design and can improve the indoor air quality of assembly halls.


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