article · Alexandria Engineering Journal
Computational modelling examined the flow of a steady, electrically conducting hybrid nanofluid over an impermeable slender stretchable surface. The hybrid fluid combined water with silver and magnesium oxide nanoparticles, which are recognised for broad-spectrum antibacterial characteristics and biomaterial detection purposes. The model incorporated the effects of variable magnetic fields, heat generation, Hall current, and chemical reactions to examine thermal energy propagation rates for industrial and biological processes. Governing partial differential equations were converted into ordinary differential equations using similarity transformations and evaluated numerically. The findings demonstrate that axial velocity rises with increases in the Hall current and the velocity power index parameter. In contrast, the fluid velocity declines when nanoparticle volume fractions or the sheet wall thickness parameter increase.
Controlling heat and fluid movement over stretching materials is crucial for improving advanced thermal and manufacturing processes. By assessing how magnetic forces, Hall currents, and nanoparticle concentrations govern fluid flow, this research offers insights into fine-tuning energy propagation. Such fluid dynamics models are relevant to designing more effective cooling, heating, and fluid-handling systems in specialized industrial and biomedical equipment.
The work targets potential uses in thermal energy propagation, biomaterial detection, and antibacterial applications for industrial and biological devices. However, this is early-stage theoretical and computational research based on mathematical modelling. Practical commercialisation is distant, as experimental validation, formulation stability testing, and hardware prototyping would be necessary before industrial engineers or medical device manufacturers could deploy the concepts in commercial systems.
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The current study addresses the flow of steady electrically conducting hybrid nanofluid (HNF) across an impermeable slender stretchable sheet. The flow distribution takes into consideration the effects of variable magnetic fields, heat production, Hall current and chemical reactions. A computational model is established for the purpose to amplify the energy communication rate and enhance the productivity and performance of thermal energy propagation for several industrial and biological purposes. The hybrid nanofluid is comprised of silver and magnesium oxide nanomaterials in the working fluid water. Among transition metals and alloys, magnesium oxide and silver nanoparticles (NPs) have been extensively documented to have broad-spectrum antibacterial properties. Silver NPs are the most extensively employed inorganic NP, having several applications in biomaterial detection and antibacterial actions. The scenario has been expressed as a system of PDEs. Which are simplified to the system of ODEs through similarity replacements. The computing approach PCM is used to subsequently evaluate the acquired 1st order differential equations. The outcomes are checked with the bvp4c package and existing literature for consistency and validity. It has been noticed that the axial velocity profile enhances with the effect of Hall current m and velocity power index constraint n, while reducing with the variation of nanoparticles volume friction ϕ1,ϕ2 and slender sheet wall thickness parameter δ.
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DOI: 10.1016/j.aej.2022.03.054
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