article · Journal of Radiation Research and Applied Sciences
This research evaluates the three-dimensional flow and heat transfer behaviour of a tetra hybrid nanofluid moving over a stretching sheet. The mathematical model utilises blood as a Casson base liquid combined with four distinct nanoparticles: zirconium dioxide, molybdenum disulfide, multi-walled carbon nanotubes, and uranium dioxide. The analysis incorporates the effects of solar thermal radiation and varying nanoparticle shapes, including spheres, columns, and lamina. Governing nonlinear partial differential equations are transformed and resolved using the analytical Adomian Decomposition Method alongside the numerical Explicit Runge-Kutta Technique. Results reveal that the tetra hybrid nanofluid increases skin friction by 11.78 percent and the Nusselt number by 1.83 percent compared to standard blood fluid. Furthermore, the shape of the nanoparticles substantially influences flow resistance and thermal performance, showing relevant implications for medical fluid dynamics.
Understanding how complex nanofluids behave under thermal radiation and varying particle shapes provides foundational insights into specialised fluid mechanics. Because the model uses blood as a base fluid, the theoretical findings help researchers better grasp heat transport and flow dynamics in biological environments, potentially assisting the design of advanced therapeutic systems.
The work represents early-stage theoretical and numerical research. While the findings indicate potential utility for medical applications such as cancer treatment, tissue repair, and drug delivery systems, the study relies entirely on mathematical modelling. Practical commercialisation would require significant laboratory formulation, experimental validation, and preclinical testing before medical device developers or pharmaceutical researchers could apply these insights.
AI-generated from the published abstract. Always read the original work before citing.
This study investigates the 3D flow characteristics of a tetra hybrid nanofluid across a stretching sheet, taking into account thermal radiation , shape factors (sphere, column, and lamina), and the effects of a Casson base liquid (blood). Four nanoparticles are considered: ZrO₂, MoS₂, MWCNTs , and UO₂. Nonlinear ODEs are derived from the governing nonlinear PDEs using similarity transformations. The model's performance is evaluated through both numerical and analytical solutions, with the analytical solution constructed using the Adomian Decomposition Method (ADM) and the numerical solution with the help of the Explicit Runge-Kutta Technique (ERKM). The effects of key parameters across velocity, temperature profiles, Nusselt numbers and skin friction , is illustrated. Results for specific cases are compared between the numerical and analytical approaches. Columns, spheres, and lamina are examples of the nanoparticle shapes used in the investigation. Overall, 11.78% and 1.83% improvement can be observed in Skin friction and Nusselt number for considering ZrO 2 -MoS 2 -MWCNTs-UO 2 /Blood Casson tetra-hybrid nanofluid than normal blood fluid. Skin friction is improved by 4.90%, but the Nusselt number is reduced by 2.03% for the Casson fluid parameter. Lamina-typed nanoparticles admit minimum, sphere-typed nanoparticles admit maximum skin friction , whereas reverse effects are found in local Nusselt numbers . Hence, this study benefits medicine, specifically cancer treatment, tissue repair, and drug delivery systems.
This page summarises published work. The authoritative version sits with the publisher.
DOI: 10.1016/j.jrras.2025.101292
Is something wrong with this record? Report it or request removal.
Discussion
Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.
No discussion yet. Open the first thread.
New to MARATTO™? Create a free account.
