Numerical and Machine Learning Approach for Fe<sub>3</sub>O<sub>4</sub>-Au/Blood Hybrid Nanofluid Flow in a Melting/Non-Melting Heat Transfer Surface with Entropy Generation

Numerical and Machine Learning Approach for Fe<sub>3</sub>O<sub>4</sub>-Au/Blood Hybrid Nanofluid Flow in a Melting/Non-Melting Heat Transfer Surface with Entropy Generation

The physiological system loses thermal energy to nearby cells via the bloodstream. Such energy loss can result in sudden death, severe hypothermia, anemia, high or low blood pressure, and heart surgery. Gold and iron oxide nanoparticles are significant in cancer treatment. Thus, there is a growing i...

Full description

Bibliographic Details
Main Authors: Shaik Jakeer, Sathishkumar Veerappampalayam Easwaramoorthy, Seethi Reddy Reddisekhar Reddy, Hayath Thameem Basha
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Symmetry
Subjects:
Fe<sub>3</sub>O<sub>4</sub>-Au/blood Powell–Eyring hybrid nanofluid
magnetic dipole
Cattaneo–Christov heat flux
entropy generation and melting/non-melting heat transfer
Online Access:https://www.mdpi.com/2073-8994/15/8/1503

Internet

https://www.mdpi.com/2073-8994/15/8/1503

Similar Items