Computational Analysis of the Morphological Aspects of Triadic Hybridized Magnetic Nanoparticles Suspended in Liquid Streamed in Coaxially Swirled Disks

• Published in: Nanomaterials (Basel, Switzerland) Switzerland), 2022-02, Vol.12 (4), p.671
• Main Authors: Qureshi, Zubair Akbar, Bilal, Sardar, Shah, Imtiaz Ali, Akgül, Ali, Jarrar, Rabab, Shanak, Hussein, Asad, Jihad
• Format: Article
• Language: English
• Subjects: Aluminum oxide; Composite materials; computational analysis (shooting technique); Computer applications; Copper; Differential equations; Fluid flow; heat and mass flux; Heat exchangers; Heat flux; Heat transfer; Iron oxides; Lubricants & lubrication; Magnetic fields; MHD; Morphology; morphology effect; Nanofluids; Nanoparticles; Peclet number; Rotating disks; Runge-Kutta method; Shear stress; Temperature profiles; Thermal conductivity; triadic hybridize nanofluid model
• ISSN: 2079-4991; 2079-4991
• DOI: 10.3390/nano12040671

Currently, pagination clearly explains the increase in the thermophysical attributes of viscous hybrid nanofluid flow by varying morphological aspects of inducted triadic magnetic nanoparticles between two coaxially rotating disks. Copper metallic nanoparticles are inserted with three different types of metallic oxide nanoparticles: Al O , Ti O, and Fe O . Single-phase simulation has been designed for the triadic hybrid nanofluids flow. The achieved expressions are transmuted by the obliging transformation technique because of dimensionless ordinary differential equations (ODEs). Runge-Kutta in collaboration with shooting procedure are implemented to achieve the solution of ODEs. The consequences of pertinent variables on associated distributions and related quantities of physical interest are elaborated in detail. It is inferred from the analysis that Cu-Al O metallic type hybrid nanofluids flow shows significant results as compared with the other hybrid nanoparticles. The injection phenomenon on hybrid nanofluids gives remarkable results regarding shear stress and heat flux with the induction of hybridized metallic nanoparticles. Shape and size factors have also been applied to physical quantities. The morphology of any hybrid nanoparticles is directly proportional to the thermal conductance of nanofluids. Peclet number has a significant effect on the temperature profile.