Comparative analysis of MHD HFE-7100, HFE-7200 and HFE-7500 based nanofluids with Soret and Dufour effects using artificial neural network

Abstract Nimonic 80A/HFE-7100, HFE-7300, and HFE-7500 nanofluids with Marangoni convection, Joule heating, and thermal-solutal gradients are compared using the Xue thermal conductivity model and the computational capability of supervised neural networks with Levenberg Marquardt algorithm (SNN-LMA)....

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Autori principali:	Munawar Abbas, Muhammad Azhar Iqbal, Saba Liaqat, Abdulbasit A. Darem, Durdana Rustamova Farkhad, Farkhod Rakhmonov, Zuhair Jastaneyah, Hakim AL Garalleh
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Springer 2026-07-01
Serie:	Discover Mechanical Engineering
Soggetti:	Nimonic 80A/HFE-7100, HFE-7300 and HFE-7500 nanofluids Darcy–Forchheimer flow Marangoni convection Soret and Dufour effects MHD Artificial neural network
Accesso online:	https://doi.org/10.1007/s44245-026-00296-7
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