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HEAT TRANSFER ANALYSIS OFMHD CNTS NANOFLUID FLOW OVER A STRETCHING SHEET

巻 11, 発行 2, 2020, pp. 133-147
DOI: 10.1615/SpecialTopicsRevPorousMedia.2020030647
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要約

This article is investigates the effect of aligned magnetic field flow and heat transfer of carbon nanotubes over a moving extensible stretching surface through a porousmedium. Definitions of thermal radiation and heat generation/absorption are utilized in the thermal expression. Carbon nanotubes (single-walled and multiwalled) and base fluids (seawater, blood, and ethylene glycol) are used to explore the impacts of heat transfer characteristics. A similarity transformation is used to transform the governing boundary layer coupled partial differential equations into a system of nonlinear ordinary differential equations, which are explored numerically using the Runge−Kutta fourth-ordermethod along with shooting procedure. The streamlines are closer to the surface wall when there are lower values of magnetic parameter and porosity parameter. Strengthening the thermal radiation parameter value enhances the rate of heat transfer. A comparative study between the formerly published results and the present results for a special case is found to be in tremendous agreement.

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によって引用された
  1. Javed Fatima, Riaz Muhammad Bilal, Iftikhar Nazish, Awrejcewicz Jan, Akgül Ali, Heat and Mass Transfer Impact on Differential Type Nanofluid with Carbon Nanotubes: A Study of Fractional Order System, Fractal and Fractional, 5, 4, 2021. Crossref

  2. Mandal Gopinath, Pal Dulal, Entropy Generation Analysis of Radiated Magnetohydrodynamic Flow of Carbon Nanotubes Nanofluids with Variable Conductivity and Diffusivity Subjected to Chemical Reaction, Journal of Nanofluids, 10, 4, 2021. Crossref

  3. Jakeer Shaik, Polu Bala Anki Reddy, Homotopy perturbation method solution of magneto-polymer nanofluid containing gyrotactic microorganisms over the permeable sheet with Cattaneo–Christov heat and mass flux model, Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering, 2021. Crossref

  4. Bala Anki Reddy P., Jakeer Shaik, Thameem Basha H., Reddisekhar Reddy Seethi Reddy, Mahesh Kumar T., Multi-layer artificial neural network modeling of entropy generation on MHD stagnation point flow of Cross-nanofluid, Waves in Random and Complex Media, 2022. Crossref

  5. Jakeer Shaik, Reddy P Bala Anki, Entropy generation on the variable magnetic field and magnetohydrodynamic stagnation point flow of Eyring–Powell hybrid dusty nanofluid: Solar thermal application, Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 236, 13, 2022. Crossref

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