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Insight into the dynamics of non-Newtonian Carreau fluid when viscous dissipation, entropy generation, convective heating and diffusion are significant

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Abstract

The investigation endorsed the convective flow of Carreau nanofluid over a stretched surface in presence of entropy generation optimization. The novel dynamic of viscous dissipation is utilized to analyze the thermal mechanism of magnetized flow. The convective boundary assumptions are directed in order to examine the heat and mass transportation of nanofluid. The thermal concept of thermophoresis and Brownian movements has been re-called with the help of Buongiorno model. The problem formulated in dimensionless form is solved by NDSolve MATHEMATICA. The graphical analysis for parameters governed by the problem is performed with physical applications. The affiliation of entropy generation and Bejan number for different parameters is inspected in detail. The numerical data for illustrating skin friction, heat and mass transfer rate is also reported. The motion of the fluid is highest for the viscosity ratio parameter. The temperature of the fluid rises via thermal Biot number. Entropy generation rises for greater Brinkman number and diffusion parameter.

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Authors and Affiliations

  1. School of Science, Hunan City University, Yiyang, 413000, China

    Shuang-shuang Zhou

  2. Department of Mechanical Engineering, Prince Mohammad Bin Fahd University, P. O. Box, 1664, Al-Khobar, 31952, Kingdom of Saudi Arabia

    Muhammad Ijaz Khan

  3. Department of Mathematics, Namal University, Mianwali, 42250, Pakistan

    Sami Ullah Khan

  4. Department of Mathematics, Quaid-I-Azam University 45320, Islamabad, 44000, Pakistan

    Sumaira Qayyum

Authors
  1. Shuang-shuang Zhou
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  2. Muhammad Ijaz Khan
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  3. Sami Ullah Khan
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  4. Sumaira Qayyum
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Correspondence to Muhammad Ijaz Khan.

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Zhou, Ss., Khan, M.I., Khan, S.U. et al. Insight into the dynamics of non-Newtonian Carreau fluid when viscous dissipation, entropy generation, convective heating and diffusion are significant. Appl. Math. J. Chin. Univ. 39, 34–46 (2024). https://doi.org/10.1007/s11766-024-3682-y

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  • DOI: https://doi.org/10.1007/s11766-024-3682-y

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