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
来源：
INTERNATIONAL JOURNAL OF HEAT AND FLUID FLOW | 2025年 / 115卷
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.
引用
收藏
页数：15
相关论文
共 150 条
[1]  
Abdelrazik A.S., Sayed M.A.M., Omar A.M.A., Ayman F.M., Alshimaa H.E., Oulguidoum A., Kotob E., Helmy M.H.M., Potential of molecular dynamics in the simulation of nanofluids properties and stability, J. Mol. Liq., 381, (2023)
[2]  
Abed A.M., Abdulkadhim A., Mohammed H.A., Hamzah H.K., Farooq H.A., Mejbel Abed I., Mahjoub Said N., Numerical simulation on thermohydraulic performance of different types of nanofluids in a corrugated-triangular channel, J. Taibah Univ. Sci., 18, (2024)
[3]  
Abir F.M., Shin D., Specific heat capacity of solar salt-based nanofluids: molecular dynamics simulation and experiment, Materials, 17, (2024)
[4]  
Adun H., Wole-Osho I., Okonkwo E.C., Ruwa T., Agwa T., Onochie K., Ukwu H., Bamisile O., Dagbasi M., Estimation of thermophysical property of hybrid nanofluids for solar Thermal applications: Implementation of novel Optimizable Gaussian Process regression (O-GPR) approach for Viscosity prediction, Neural Comput. Appl., 34, pp. 11233-11254, (2022)
[5]  
Afzal S., Qayyum M., Chambashi G., Heat and mass transfer with entropy optimization in hybrid nanofluid using heat source and velocity slip: a Hamilton-Crosser approach, Scientific Rep., 13, pp. 1-21, (2023)
[6]  
Aglawe K.R., Yadav R.K., Thool S.B., Preparation, applications and challenges of nanofluids in electronic cooling: A systematic review, Mater. Today Proc., 43, pp. 366-372, (2021)
[7]  
Ahmadloo E., Azizi S., Prediction of thermal conductivity of various nanofluids using artificial neural network, Int. Commun. Heat Mass Transfer, 74, pp. 69-75, (2016)
[8]  
Ahmed F., Reza-E-Rabbi S., Ali M.Y., Ali L.E., Islam A., Rahman M.A., Roy R., Islam M.R., Ahmmed S.F., Numerical modeling of a MHD non-linear radiative Maxwell nano fluid with activation energy, Heliyon, 10, (2024)
[9]  
Ahmed Z., Parida S., Ranjit P.S., Singh V.K., Al2O3-CO2 nanofluid transport properties: a molecular dynamics study and machine learning predictive modelling, Heat Transfer Eng., 44, pp. 1747-1761, (2023)
[10]  
Ajeena A.M., Farkas I., Vig P., Energy and exergy assessment of a flat plate solar thermal collector by examine silicon carbide nanofluid: an experimental study for sustainable energy, Appl. Therm. Eng., 236, (2024)
12345678910