Numerical Investigation of Heat Transfer Enhancement Using Nanofluids
Abstract
The rapid advancement of modern engineering systems has led to increased heat generation within compact and high-performance devices such as electronic components, automotive engines, heat exchangers, and renewable energy systems. Conventional heat transfer fluids including water, air, and ethylene glycol possess inherently low thermal conductivity, which limits their effectiveness in dissipating high heat fluxes. To address this challenge, nanofluids—engineered colloidal suspensions of nano-sized solid particles dispersed within a base fluid—have emerged as a promising alternative for thermal enhancement applications. In the present study, a numerical investigation is conducted to analyze the heat transfer characteristics of nanofluids under forced convection conditions using Computational Fluid Dynamics (CFD). Aluminum oxide (Al₂O₃) nanoparticles dispersed in water are considered as the working nanofluid due to their favorable thermophysical properties and wide industrial applicability. The numerical model is developed by solving the governing equations of mass, momentum, and energy conservation using the finite volume method. A single-phase homogeneous approach is adopted to model the nanofluid behavior. The effects of key parameters such as nanoparticle volume fraction and Reynolds number on temperature distribution, convective heat transfer coefficient, Nusselt number, and pressure drop are systematically examined. The numerical results demonstrate that the inclusion of nanoparticles significantly enhances heat transfer performance compared to the base fluid. However, this enhancement is accompanied by an increase in fluid viscosity and pressure drop, indicating the need for optimal nanoparticle concentration selection. The findings of this study highlight the potential of nanofluids as advanced working fluids for next-generation thermal management systems and provide valuable insights for their practical implementation in engineering applications.
Fields of Study & Subjects
Nanofluid Flow and Heat Transfer
Heat Transfer and Optimization
Heat Transfer Mechanisms
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 2 February 2026