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Computational modelling of nanofluid flow over a curved stretching sheet using Koo–Kleinstreuer and Li (KKL) correlation and modified Fourier heat flux model

Author

Listed:
  • Punith Gowda, R.J.
  • Al-Mubaddel, Fahad S.
  • Naveen Kumar, R.
  • Prasannakumara, B.C.
  • Issakhov, Alibek
  • Rahimi-Gorji, Mohammad
  • Al-Turki, Yusuf A.

Abstract

The objective of the current paper is to study the two-dimensional, incompressible nanofluid flow over a curved stretching sheet coiled in a circle. Further, the impact of dispersion of nanoparticle CuO in base liquid water on the performance of flow, thermal conductivity and mass transfer using KKL model in the presence of Cattaneo-Christov heat flux and activation energy is deliberated. A curvilinear coordinate system is used to develop the mathematical model describing the flow phenomena in the form of partial differential equations. Further, by means of apt similarity transformations the governing boundary value problems are reduced to ordinary differential equations. Mathematical computations are simplified using Runge-Kutta-Fehlberg-45(RKF-45) process by adopting shooting method. Graphical illustrations of velocity, temperature, concentration gradients for various pertinent parameters are presented. The result reveals that, the heightening of porosity parameter heightens the thermal gradient but converse trend is depicted in velocity gradient. The enhancing values of Schmidt number and chemical reaction rate parameter declines concentration gradient whereas converse trend is depicted for upsurge in activation energy parameter.

Suggested Citation

  • Punith Gowda, R.J. & Al-Mubaddel, Fahad S. & Naveen Kumar, R. & Prasannakumara, B.C. & Issakhov, Alibek & Rahimi-Gorji, Mohammad & Al-Turki, Yusuf A., 2021. "Computational modelling of nanofluid flow over a curved stretching sheet using Koo–Kleinstreuer and Li (KKL) correlation and modified Fourier heat flux model," Chaos, Solitons & Fractals, Elsevier, vol. 145(C).
    • Handle: RePEc:eee:chsofr:v:145:y:2021:i:c:s0960077921001260
    DOI: 10.1016/j.chaos.2021.110774
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    References listed on IDEAS

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    1. Sene, Ndolane, 2020. "Second-grade fluid model with Caputo–Liouville generalized fractional derivative," Chaos, Solitons & Fractals, Elsevier, vol. 133(C).
    2. Ali, Mehboob & Sultan, Faisal & Khan, Waqar Azeem & Shahzad, Muhammad & Arif, Hina, 2020. "Important features of expanding/contracting cylinder for Cross magneto-nanofluid flow," Chaos, Solitons & Fractals, Elsevier, vol. 133(C).
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    Cited by:

    1. Song, Ying-Qing & Hamid, Aamir & Khan, M. Ijaz & Gowda, R.J. Punith & Kumar, R. Naveen & Prasannakumara, B.C. & Khan, Sami Ullah & Khan, M. Imran & Malik, M.Y., 2021. "Solar energy aspects of gyrotactic mixed bioconvection flow of nanofluid past a vertical thin moving needle influenced by variable Prandtl number," Chaos, Solitons & Fractals, Elsevier, vol. 151(C).
    2. Raja, M. Asif Zahoor & Shoaib, M. & Zubair, Ghania & Khan, M. Ijaz & Punith Gowda, R.J. & Prasannakumara, B.C. & Guedri, Kamel, 2022. "Intelligent neuro-computing for entropy generated Darcy–Forchheimer​ mixed convective fluid flow," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 201(C), pages 193-214.

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