Computational analysis demonstrates that entropy generation is influenced by factors like joule heating and porosity in hybrid nanofluids.
In this article, the computational analysis of magnetohydrodynamics (MHD) flow of hybrid nanofluids using the Tiwari–Das nanofluids model toward a porous curved stretching surface is considered in the context of radiative heat flow, viscous and porosity dissipation. Moreover, aluminum oxide and copper are taken as nano‐particles and water is taken as a base fluid. Entropy rate is dependent on five factors, that is, joule heating, porosity dissipation, radiative heat flux, heat transfer, and fluid resistance. Similarity transformation is very useful to convert non‐linear partial differential equations (PDEs) into ordinary differential equations (ODEs), but in some cases it is not applicable; therefore, we will use non‐similarity transformations. The governing equations are transformed into dimensionless PDEs using a non‐similarity transformation. By using the local non‐similarity technique, PDEs are converted into ODEs. The simulation for dimensionless nonlinear systems of ODEs is solved numerically using Bvp4c. Important results for several parameters, including Bejan, velocity, entropy, and temperature profiles, are presented in detail. The results indicate that the volume fraction coefficient of and increases the fluid temperature and velocity field. The porosity parameter decreases the fluid velocity and increases the temperature profile. Furthermore, porosity and thermal radiation parameters increase the entropy generation and Bejan number. The engineering quantity of friction and heat transfer rate of is greater than .
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Haq et al. (2025) studied this question.
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