Case Studies in Thermal Engineering · 2023 · 21 citations · 45 references
EngineeringMaterials EngineeringPhysicsFluid DynamicsHeat TransferNanomaterialsHeat ConductionHeat FlowHeat Transfer AnalysisHeat Transfer In FluidsHeat Transfer ModelingRadiative Heat TransferHeat Transfer FluidsHeat Transfer MechanismsHybrid NanoparticlesRadiative Heat Transfer In FluidsThermal ConductivityThermal Conductivity EffectsThermal Conductivity ModelingThermal Fluid Dynamics
To improve heat transfer, this work provides a unique theoretical mathematical model of ternary hybrid nanofluid. In this analysis, the tri-hybrid nanoparticles TiO2, Al2O3, and AA7072 are submerged in ethylene glycol (EG), resulting in the mixture TiO2+Al2O3+AA7072/EG. The tri hybridity nanofluid is considered 3-D flowing via a rotate permeable cone embedded in Darcy-Forchheimer porousness material in the existence of fluctuating temperature generating (sink) and current radiate fluxing. The Keller box scheme (KBS) is exploited to resolve the liquid flowing and temperature equations numerically after converting them to ordinary differential equations employing similarity transformations. The results are graphed, and it is shown that the tri-hybrid nanofluid (THNF) has superior thermal conductance to the hybrid nanofluid (HNF) and that the fluid's velocity and temperature develop as a consequence of enlargement in thermal radiative fluxing and variable thermal conductivity effects. Raising values of De and Fr decline drag friction but drag friction coefficient values are improved as a result of positive variation in M, Re, ς, and λ. It is apparent that the rate of heat transference amplifies owing to magnification in QT, QE and Rd but the heat transfer rate diminishes due to magnification in Re and Fr. Incremental change in volume fraction of nanoparticles φ=0.005 to 0.03 delivers more heat in the case of tri-HNFs TiO2+Al2O3+AA7072 in contrast to ethylene glycol based TiO2+Al2O3 fluid. The optimal percentage error diminishes for the drag friction phenomenon from 1.4% up to 1.1% by adopting De from 1 to 1.5 and λ=0.5. The percentage error in terms of heat transfer rate is getting smaller from 3.6% to 3.0% because of a positive change in QT by keeping Rd=1.5.
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Huijin Xu, Zhanbin Xing, Fuqiang Wang et al. · Chemical Engineering Science · 2018 · 405 citations
Abderrahim Wakif, Ali J. Chamkha, Thirupathi Thumma et al. · Journal of Thermal Analysis and Calorimetry · 2020 · 299 citations
Natural Sciences, Materials Engineering, Materials Science +16
Khalid Abdulkhaliq M. Alharbi, Maawiya Ould Sidi, N. Ameer Ahammad et al. · Micromachines · 2022 · 184 citations · Full text
Engineering, Chemical Engineering, Computational Engineering +17