ArticleDiscover nano2026
A numerical analysis of the water-based ternary hybrid nanofluid between two rotating disks subject to thermal radiation and homogeneous-heterogeneous reactions.
Article in Discover nano, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Pressure and entropy analysis of Casson tetra hybrid nanofluid flow in a rotating cone disk system with ANN and QNN prediction.Discover nano · 2026Article
- Modeling of electro-diffusive ternary nanofluid flow between rotating disks using the Poisson-Nernst-Planck framework with a non-Fourier heat-flux model.Discover nano · 2026Article
- Enhanced thermal efficiency of hybrid nanofluid with heat generation and thermal radiation effects.Discover nano · 2026Article
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Authors and funding
5 authors.
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Abstract
This work involves detailed numerical research on tri-hybrid nanofluid flow that takes place between two gyrating disks with integrated effects of the magnetic field, Joule heating, thermal radiation, as well as, homogeneous-heterogeneous reactions. The main equations have solved through bvp4c approach in dimensionless from. It has found in this work that the stretching factor at the bottom disk increases the axial flow, and the radial flow exhibits a twofold action. Axial and tangential velocities are directly proportional to Reynolds number but inversely proportional to the effects of the magnet whereas radial velocity is a mixed proportion. The rotational factor of tangential flow increases. Thermal profiles increase as Eckert, Reynolds, magnetic and radiation parameters increase. The concentration undergoes a decreasing trend when the homogeneous factors, heterogeneous factors and Schmidt numbers are increased and an increasing trend when Reynolds number is increased. There is great congruence in comparative results and Nusselt and Sherwood number are measured in tables and are used to determine the heat and mass transfer. This study contains useful information on how to optimize reactive thermal systems using rotating geometries and multimodal nanofluids, and can find its applications in energy systems and chemical reactors as well as innovative cooling technologies.
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