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Hydromagnetic flow of magnetite–water nanofluid utilizing adapted Buongiorno model

Fateh Mebarek‐OudinaDepartment of Physics, Faculty of Sciences, University of 20 Aouˆt 1955 Skikda, Skikda, AlgeriaPreetiDepartment of Applied Mathematics, Defence Institute of Advanced Technology (Deemed to be University), Pune 411025, IndiaA. S. SabuDepartment of Mathematics, St. Thomas’ College (Autonomous), Thrissur 680001, Kerala, IndiaHanumesh VaidyaDepartment of Mathematics, Vijayanagara Sri Krishnadevaraya University, Ballari, Karnataka, IndiaR. W. LewisDepartment of Civil Engineering, Swansea University, Swansea, UKSujesh AreekaraDepartment of Mathematics, St. Thomas’ College (Autonomous), Thrissur 680001, Kerala, IndiaAlphonsa MathewDepartment of Mathematics, St. Thomas’ College (Autonomous), Thrissur 680001, Kerala, IndiaA. I. IsmailMechanical Engineering Department, College of Engineering and Islamic Architecture, Umm Al-Qura University, Saudi Arabia
2023en
ABI

Annotatsiya

The hydromagnetic flow of magnetite–water nanofluid due to a rotating stretchable disk has been numerically assessed. The nanofluid flow has been modeled utilizing the adapted Buongiorno model that considers the volume fraction-dependent effective nanofluid properties and the major slip mechanisms. In addition, experimentally gleaned functions of effective dynamic viscosity and effective thermal conductivity are deployed. The modeled equations are transformed into a first-order ODEs scheme employing Von Kármán’s similarity conversions and then resolved via the Runge–Kutta algorithm through the shooting technique. The impact of pertinent terms over the physical quantities, nanoliquid temperature and nanoliquid concentration is explained with the support of graphs. Results show that rising volume fraction of magnetite nanoparticles (NPs) and magnetic field term enhance the drag force. Mass transport rate is demoted with augmenting values of magnetic field parameter whereas is promoted with increase in Schmidt number. Further, it is detected that the changes in stretching strength parameter are directly proportional to Nusselt number and inversely proportional to the thermal field. The findings of this numerical analysis have applications in spin coating, rotating disk reactors, storage devices for computers, food processing, and rotating heat exchangers.

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