A highly accurate model for prediction of thermal conductivity of carbon-based nano-enhanced PCMs using an artificial neural network
Nano-PCMs, which contain nanostructured materials, can enhance the low thermal conductivity of phase change materials (PCMs). It is crucial to predict the precise thermal conductivity of nano-PCM to assess the heat transfer during phase change procedures such as melting and solidification. In this s...
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| Автори: | , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Elsevier
2023-11-01
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| Серія: | Energy Reports |
| Предмети: | |
| Онлайн доступ: | http://www.sciencedirect.com/science/article/pii/S2352484723011368 |
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