ArticleDiscover nano2026
Numerical simulation of heat transfer through radiative hybrid nanofluid flow subject to thermal convection past a porous stretching surface.
Article in Discover nano, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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4 authors.
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Abstract
In this study, a rigorous numerical simulation of the hybrid nanofluid (AA7072-AA7075/methanol) flow over a rotating porous stretching surface is presented. Such a configuration has great importance for aerospace thermal management and high-performance engines' cooling. The main aim is to study the synergistic effect of Soret, Dufour effects, thermal radiation, and exponential heat sources on the efficiency of the fluid flow. For centrifugal pumping systems and heat exchangers that have rotational stresses and multi-physical constraints, such a modeling framework is necessary to optimize the system. This study aims to connect theoretical magnetohydrodynamics with the practical applications to cooling applications within the industrial sector by using the Parametric Continuation Method (PCM). From the comparative analysis of current work, it has been noticed that there is a strong correlation between the current and published results, which ensures the authenticity of these results. From the tabular results, it has been observed that the skin friction enhances up to 74.7319% and 62.0497% by varying the A7072 and AA7075 NPs volume friction from 0.01 to 0.03, whereas it drops up to 34.1635% with the variation in the mixed convection factor. The energy transfer rate enhances up to 22.1359% by varying the thermal radiation factor from 0.3 to 0.7, whereas it drops up to 20.0484% and 21.0407% by varying the exponential heat source parameter and Dufour number from 0.1 to 0.5 and 0.2 to 0.6, respectively. The Sherwood number drops by up to 18.6451% by varying the activation energy factor from 1.0 to 5.0, while enhances up to 17.1852% with variation in the rate of chemical reaction factor.
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