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...

詳細記述

書誌詳細
出版年:Micro and Nano Systems Letters
主要な著者: Mohammad Hemmat Esfe, Fatemeh Amoozad, Hossein Hatami, Davood Toghraie
フォーマット: 論文
言語:英語
出版事項: SpringerOpen 2024-01-01
主題:
オンライン・アクセス:https://doi.org/10.1186/s40486-023-00195-6