Thermal behavior of ferrofluids in a microfin tube with rotating magnetic fields: Experimental analysis and artificial intelligence modeling strategies

Abstract

The utilization of various tools by researchers to enhance heat transfer (HT) in fluid flow is steadily on the rise. These tools encompass both active and passive methods. This study involved an experimental examination of HT and fluid flow within a micro-fin tube. The strategies were implemented to improve Nu: ferrofluid, micro-fins, and a rotating magnetic field. Before implementation, the magnetic ferrofluid was evaluated for particle size and stability. The results were validated, demonstrating a good correlation with the anticipated outcomes. The use of a microfin tube and ferrofluid can enhance HT about 7–14 % and 7–22 %, respectively. Additionally, a rotating magnetic field can improve HT by approximately 10%–37 %. An empirical correlation derived from experimental data is introduced for Nu prediction. Additionally, employing artificial intelligence techniques such as ANFIS and GMDH, the Nu has been successfully estimated, showcasing the effectiveness of these models in predicting Nu.

Keywords

• Heat transfer
• Nusselt number
• Microfin tube
• Ferrofluid
• Rotating magnetic field
• Artificial intelligence