AI-driven and machine learning-based prediction of angled funnel fin geometry and penta-hybrid nanofluid performance in TTHX-LHTESS: a multi-technique approach for enhanced solidification
This study presents a numerical investigation to enhance the solidification performance of latent heat thermal energy storage systems (LHTESS) by integrating a novel Angled Funnel-shaped Fin geometry with hybrid and penta-hybrid nanofluids in a triplex-tube heat exchanger (TTHX). The combined use of...
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| Principais autores: | , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Elsevier
2026-05-01
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| Serier: | Energy Conversion and Management: X |
| Fag: | |
| Online adgang: | http://www.sciencedirect.com/science/article/pii/S2590174526001844 |
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