Machine learning investigation of marangoni convection in hybrid nanofluids with Darcy-Forchheimer. [PDF]
Qureshi H, Altmeyer S, Zubair M.
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Predictive framework to evaluate ternary nanocomposite over surface subjected to novel physical perspective. [PDF]
Bilal S, Asadullah.
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Thermal performance of Falkner Skan model (FSM) for (GOMoS2)/(C2H6O2-H2O) 50:50% nanofluid under radiation heating source. [PDF]
Bani-Fwaz MZ +6 more
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A machine learning analysis for hybrid nanofluid flow between two co-axial cylinders. [PDF]
Batool K +7 more
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Response surface optimization for Minsta-Gherasim hybrid nanofluid flow over a porous surface with varying water temperature levels and magnetic influence. [PDF]
Ashique A +6 more
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Thermal Performance Analysis of a Nonlinear Couple Stress Ternary Hybrid Nanofluid in a Channel: A Fractal-Fractional Approach. [PDF]
Murtaza S +6 more
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Numerical investigation of MHD stratified flow over an inclined cylinder with Brownian motion, thermophoresis and waste discharge concentration effects. [PDF]
Rafique K +5 more
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Thermo-economic performance and sensitivity analysis of ternary hybrid nanofluids
Journal of Molecular Liquids, 2021Abstract The thermo-economic performance of the Al2O3-TiO2-Cu/water ternary hybrid nanofluid was investigated experimentally. The shear stress, viscosity, and thermal conductivity were measured at 0.005–1 vol% over temperature range of 20–60 °C. The morphology and stability of nanofluids were characterized by SEM and UV–Vis spectrophotometer analyses.
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Abstract The rising demand for electricity (energy) to cool the conditioning space leads to the searching for alternate, emission-free and sustainable technologies. The regenerative (dew-point) evaporating coolers are proved to be energy-efficient and eco-friendly devices for a wide range of climatic conditions.
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