Akademik Veri Yönetim Sistemi
MEETCON - GALATA INTERNATIONAL CONGRESS OF APPLIED SCIENCES, İstanbul, Türkiye, 28 - 30 Kasım 2025, ss.118-125, (Tam Metin Bildiri)
This study investigates the influence of Al₂O₃ nanoparticle concentration on the thermal conductivity of water-based nanofluids using a simplified theoretical approach. The classical Maxwell model was employed to estimate the effective thermal conductivity for different nanoparticle volume fractions (𝜙 = 0–0.20). This model assumes spherical particles uniformly dispersed in the base fluid and provides a first-order prediction of composite thermal properties. Calculations were performed for water as the base fluid (𝑘𝑓 = 0.6 W/m\cdotpK) and Al₂O₃ nanoparticles (𝑘𝑝 = 36 W/m\cdotpK). Results indicate a significant enhancement in thermal conductivity with increasing nanoparticle concentration. For example, at 𝜙 = 0.05, the effective thermal conductivity increases by approximately 15%, while at 𝜙 = 0.20, the improvement exceeds 70% compared to pure water. A comparison between the Maxwell model and a linear approximation derived from its Taylor expansion highlights that the linear model is accurate only for very dilute suspensions (𝜙 ≤ 0.02), whereas deviations become substantial at higher concentrations. The findings confirm that even small additions of nanoparticles can substantially improve heat transfer properties, making nanofluids promising candidates for thermal management applications such as electronics cooling and heat exchangers. However, the analysis is limited by idealized assumptions, neglecting factors such as particle agglomeration, viscosity changes, and temperature-dependent effects. Future work should incorporate experimental validation and advanced modeling techniques to address these limitations and provide more accurate predictions for real-world systems.