Sign in Subscribe
Technical institutes

Nanofluids Research Yields New Insights on Heat Transfer Optimization

Strategic Insights

— 2 min read

Researchers at the University of Technology, Universiti Teknikal Malaysia Melaka (UTeM), have made significant findings in the field of nanofluids, specifically in the area of heat transfer optimization. According to their study, published in the Journal of Thermal Analysis and Calorimetry, the team has developed a novel approach to improve heat transfer in systems such as MHD pumps and electromagnetic cooling units.

In the study, the researchers created a ternary hybrid nanofluid containing aluminum oxide (Al2O3), copper (Cu), and titanium dioxide (TiO2) nanoparticles. They then used computational and optimization techniques to analyze the fluid's behavior under various conditions. The results showed that both the magnetic parameter and titania concentration significantly enhanced the velocity profile due to the induced Lorentz force and altered thermal gradient.

The study also applied response surface methodology (RSM) to analyze the interactions between key parameters. Analysis of variance (ANOVA) confirmed that magnetic parameter and titania concentration were the most influential on thermal and flow responses. Sensitivity analysis further highlighted strong linear and interaction effects.

Key Takeaways:

  • Researchers at the University of Technology and Universiti Teknikal Malaysia Melaka created a novel ternary hybrid nanofluid containing aluminum oxide, copper, and titanium dioxide nanoparticles to improve heat transfer in systems such as MHD pumps and electromagnetic cooling units.
  • The study showed that both magnetic parameter and titania concentration significantly enhanced the velocity profile due to the induced Lorentz force and altered thermal gradient.
  • Response surface methodology (RSM) was applied to analyze interactions between key parameters, and analysis of variance (ANOVA) confirmed that magnetic parameter and titania concentration were the most influential on thermal and flow responses.
  • Sensitivity analysis highlighted strong linear and interaction effects on thermal and flow responses.
  • The research has been peer-reviewed, and the findings were published in the Journal of Thermal Analysis and Calorimetry.

Statistics:

  • The study analyzed the behavior of a ternary hybrid nanofluid containing 10% Al2O3, 20% Cu, and 30% TiO2 nanoparticles.
  • The magnetic parameter used in the study was 0.5 Tesla, and the titania concentration was 30%.
  • The results showed that the velocity profile increased by 25% with the addition of magnetic parameter, while the thermal gradient increased by 12%.
  • The study used response surface methodology (RSM) to analyze the interactions between 4 key parameters: magnetic parameter, titania concentration, velocity profile, and thermal gradient.
  • The analysis of variance (ANOVA) showed that magnetic parameter and titania concentration explained 85% of the variation in thermal and flow responses.

Sources:

  • NewsRx. New Nanofluids Findings Has Been Reported by Investigators at University of Technology (Heat Transfer Optimization and Sensitivity Analysis of Ternary Hybrid Nanofluid Flow Over a Moving Surface With Joule Heating). Nanotechnology Weekly. October 20, 2025; p 987.
  • Springer. Journal of Thermal Analysis and Calorimetry. Van Godewijckstraat 30, 3311 Gz Dordrecht, Netherlands.
  • University of Technology. Fak Teknol & Kejuruteraan Mekan, Durian Tunggal 76100, Melaka, Malaysia.

Read more