Loading…
Heatlines and other visualization techniques for confined heat transfer systems
•Numerical visualization techniques for natural convection system.•Heatlines and other suitable visualization techniques are discussed.•Applications of different techniques are demonstrated with suitable examples.•The usefulness and limitations of different techniques are discussed. Efficient visual...
Saved in:
Published in: | International journal of heat and mass transfer 2018-03, Vol.118, p.1069-1079 |
---|---|
Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Summary: | •Numerical visualization techniques for natural convection system.•Heatlines and other suitable visualization techniques are discussed.•Applications of different techniques are demonstrated with suitable examples.•The usefulness and limitations of different techniques are discussed.
Efficient visualization techniques are required to understand the flow physics for any numerical simulation. For convective heat transfer problems, most widely used techniques to visualize the fluid flow and heat transfer are streamlines and isotherms respectively. These methods are not sufficient to address the degrees of complexity associated with the complicated convective problems. Thus, different visualization techniques have been developed to represent the results depending on the problem. In this article, an effort has been made to collate visualization techniques in literature for convective heat transfer system like, heatlines, energy streamlines, energy flux vectors, proper orthogonal decomposition (POD), Poincare map etc. The fundamentals of different techniques are briefly discussed, applications of these techniques are shown with proper examples. The usefulness and limitations of these techniques are also discussed. Heatline is found to be the best visualization tool for two dimensional steady situations. However, in 3D and transient scenario Lagrangian approach or POD can be used. |
---|---|
ISSN: | 0017-9310 1879-2189 |
DOI: | 10.1016/j.ijheatmasstransfer.2017.11.075 |