Numerical simulation of nonlinear flow and energy dynamics through spinning flow of Casson hybrid nanofluid past an extending surface

• Published in: Particulate science and technology Vol. 43; no. 4; pp. 667 - 679
• Main Authors: Jubair, Sidra, Ali, Bilal, Kumar, Abhinav, Ahmad Ansari, Mushtaq
• Format: Journal Article
• Language: English
• Published: Philadelphia Taylor & Francis 19.05.2025; Taylor & Francis Ltd
• Subjects: Biocompatibility; Biomedical engineering; Biosensors; Continuation methods; Energy transfer; Flow characteristics; Flow velocity; Hybrid nanofluid; Iron oxides; Magnetic fields; Nanofluids; Nanoparticles; Non-Newtonian flow; Ohmic dissipation; parametric simulation; Physical properties; Resistance heating; Simulation; Sodium alginate; Stretching; stretching sheet; Thermophoresis; Thickening agents; Velocity distribution; zero mass flux and thermal convection; Zirconium dioxide
• ISSN: 0272-6351; 1548-0046
• DOI: 10.1080/02726351.2025.2482173

The convective Casson nanofluid (CNF) flow subject to an inclined magnetic field past a stretching porous surface is studied. The hybrid nanofluid (HNF) is considered as the combination of iron oxide (Fe 3 O 4 ) and zirconium dioxide (ZrO 2 ) nanoparticles (NPs) in the sodium alginate (SA). Sodium alginate (NaC 6 H 7 O 6 ) is an organic, biocompatible and bio-degradable polymer derived from brown algae. It serves as a thickener, stabilizer, and gelling agent in a variety of industries, involving food, medicines, and ecological engineering. The inclusion of Fe 3 O 4 and ZrO 2 NPs in the SA contributes to new developments in drug delivery, biosensors, and biomedical engineering. The unique features of NPs can considerably improve the performance features of SA-based systems. Furthermore, the impact of Joule heating, Arrhenius activation energy Brownian motion, heat source and thermophoresis effect are also examined on the flow characteristics of CNF. The modeled equations are reformed into dimensionless form and then numerically resolved through the parametric continuation method (PCM). The behavior of energy, mass and velocity profile versus the variation of physical parameters is observed and displayed through graphics. For accuracy of the proposed methodology and results, the outcomes are compared to published results. It has been determined that the variation of surface porosity and magnetic field factors declines the flow rate. The flow rate enhances with the upshot of surface stretching factor, whereas drops with the influence of Casson fluid factor. The impact of thermal Biot and Eckert number boost the energy transfer rate.