ArticleScientific reports2024
Entropy driven optimization of non-linear radiative chemically reactive sutterby nanofluid flow in presence of gyrotactic micro-organism with Hall effect and activation energy.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- A deep neural network model for heat transfer in darcy-forchheimer hybrid nanofluid flow with activation energy.Scientific reports · 2026Article
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Authors and funding
6 authors.
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No grant is acknowledged in the PubMed record.
Abstract
The enormous potential of nanotechnology has drawn attention to many different fields. Using nanoparticles, bio-convection has become a key phenomenon in industrial and technical applications. Nanofluids have emerged as effective solutions for addressing complex heat transfer challenges in modern engineering. This study aims to develop a comprehensive three-dimensional model of Sutterby nanofluid flow with bio-convection, investigating the effects of nonlinear thermal radiation, gyrotactic microorganisms, and magnetic fields on thermal efficiency and entropy generation. By investigating entropy optimization, chemical processes, activation energy, viscous dissipation, and magnetic field effects, the research aims to improve Sutterby nanofluid efficiency. This model reveals the dynamics of Sutterby nanofluid behavior by using partial differential equations (PDEs) and successively converted into an ordinary differential equation (ODE) system. The converted equations are solved numerically using numerical technique bvp4c. The results of analyses show relationships between the concentration of nanofluid, Biot numbers, and microorganism profiles. The results indicate that while an increase in Biot number improves microorganism profiles, an increase in Lewis and Peclet numbers decreases nanofluid concentration. Critical elements that greatly affect mass distribution, heat transmission, and flow dynamics include magnetic fields, chemical processes, and activation energy. With the help of tables, the effects of physical parameters on skin friction, Nusselt numbers, and local Sherwood numbers are thoroughly investigated.
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