Comprehensive study and scientific process to increase the accuracy in estimating the thermal conductivity of nanofluids containing SWCNTs and CuO nanoparticles using an artificial neural network
Abstract This investigation aimed to evaluate the thermal conductivity ratio (TCR) of SWCNT-CuO/Water nanofluid (NF) using experimental data in the T range of 28–50 ℃ and solid volume fraction range of SVF = 0.03 to 1.15% by an artificial neural network (ANN). MLP network with Lundberg-Marquardt alg...
Збережено в:
| Автори: | , , , |
|---|---|
| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
SpringerOpen
2024-01-01
|
| Серія: | Micro and Nano Systems Letters |
| Предмети: | |
| Онлайн доступ: | https://doi.org/10.1186/s40486-023-00195-6 |
| Теги: |
Немає тегів, Будьте першим, хто поставить тег для цього запису!
|
