Bridging computational and experimental boundaries: a review of theoretical modeling and experimental validation of hybrid nanofluids in heat transfer applications

被引:0
作者
Smrity, Araf Mim Ahmed [1 ]
Yin, Peng [1 ]
机构
[1] Univ Louisiana Lafayette, Dept Mech Engn, Lafayette, LA 70503 USA
关键词
Hybrid nanofluids; Heat transfer; Thermal conductivity; Theoretical modeling; Experimental validation; Effective Medium Theory; Molecular Dynamics; Machine learning; THERMAL-CONDUCTIVITY; RHEOLOGICAL BEHAVIOR; SIO2; NANOFLUIDS; PERFORMANCE; VISCOSITY; PREDICTION; COOLANT;
D O I
10.1016/j.ijheatfluidflow.2025.109873
中图分类号
O414.1 [热力学];
学科分类号
摘要
This review explores the development and performance evaluation of hybrid nanofluids, emphasizing their potential in enhancing thermal management capabilities across diverse heat transfer applications. Hybrid nanofluids, formulated by dispersing combinations of metallic and metal oxide nanoparticles within conventional fluids, exhibit superior thermal conductivity, controlled viscosity, and improved stability compared to traditional mono nanofluids. This review synthesizes both classical and advanced theoretical modeling approaches including Maxwell and Hamilton-Crosser models, Molecular Dynamics simulations, Monte Carlo methods, and emerging machine learning techniques, highlighting their predictive capabilities and respective limitations. Furthermore, comprehensive analysis of various experimental techniques, such as transient hot-wire, rotational rheometry, and steady-state methods, provides insights into characterization of hybrid nanofluids' thermophysical properties. The practical applications of these fluids are explored specifically within solar thermal systems, automotive cooling, electronics cooling, and heat exchanger systems. The review identifies prevailing challenges such as nanoparticle stability, agglomeration, and scalability, and suggests future research directions to optimize formulations and practical industrial adoption of hybrid nanofluids.
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页数:15
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