Addition of MWCNT-Al2O3 nanopowders to water- ethylene glycol (EG) base fluid for enhancing the thermal characteristics: Design an optimum feed-forward neural network

Addition of MWCNT-Al2O3 nanopowders to water- ethylene glycol (EG) base fluid for enhancing the thermal characteristics: Design an optimum feed-forward neural network

Prediction the thermal conductivity of nanofluids has been subject of many researches. Artificial Neural Networks are used to obtain thermal conductivity of NAnofluids because not only this method is fast and acurate but also it can reduce the Lab costs. To predict the thermal conductivity of water-...

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Bibliographic Details
Main Authors: Shi Fuxi, Sajad Hamedi, Mehdi Hajian, Davood Toghraie, As'ad Alizadeh, Mabood Hekmatifar, Nima Sina
Format: Article
Language:English
Published: Elsevier 2021-10-01
Series:Case Studies in Thermal Engineering
Subjects:
Thermal conductivity
ANNs
Nanofluids
Levenberg marquardt algorithm
Surface fitting method
Online Access:http://www.sciencedirect.com/science/article/pii/S2214157X21004561

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