Numerical investigation for optimizing thermal performance of Al2O3-TiO2/water hybrid nanofluid: An artificial neural network approach based on Levenberg–Marquardt algorithm

Numerical investigation for optimizing thermal performance of Al2O3-TiO2/water hybrid nanofluid: An artificial neural network approach based on Levenberg–Marquardt algorithm

This study investigates the heat and mass transfer characteristics of a Casson hybrid nanofluid composed of TiO2 and Al2O3 nanoparticles dispersed in water over a stretching sheet. The model incorporates key physical effects, including magnetic field (MHD), thermal radiation, porosity, heat generati...

Full description

Saved in:
Bibliographic Details
Main Authors: Khalid Arif, Syed Tauseef Saeed, Talha Anwar, Shajar Abbas, Muhammad Nauman Aslam
Format: Article
Language:English
Published: Elsevier 2025-09-01
Series:International Journal of Thermofluids
Subjects:
Casson model
Hybrid nanofluid
Artificial neural network
Thermal radiation
Chemical reaction
Activation energy
Online Access:http://www.sciencedirect.com/science/article/pii/S2666202725003064
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

http://www.sciencedirect.com/science/article/pii/S2666202725003064

Similar Items