Flow and heat transfer optimization of a fin-tube heat exchanger with vortex generators using Response Surface Methodology and Artificial Neural Network
Using vortex generators (VGs) in fin-tube heat exchangers (FTHEs) is one of the main options to increase their performance. Although numerical models can replace the expensive experimental studies, suggesting an optimum design configuration using numerical models involves trial and error procedures...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2022-11-01
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| Series: | Case Studies in Thermal Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214157X22006815 |