Case Studies in Thermal Engineering (Jun 2022)

Bioconvection attribution for effective thermal transportation of upper convicted Maxwell nanofluid flow due to an extending cylindrical surface

  • Amna Mariam,
  • Imran Siddique,
  • Sohaib Abdal,
  • Fahd Jarad,
  • Rifaqat Ali,
  • Nadeem Salamat,
  • Sajjad Hussain

Journal volume & issue
Vol. 34
p. 102062

Abstract

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The growth of compact density heat gadgets demands effective thermal transportation. The option of nanofluid plays a dynamic role in this requirement. This research shows the impact of gyrotactic microorganisms on non-Newtonian fluid (Maxwell fluid) passing on the expanding cylindrical surface. The main objective of the present observation is to determine the heat and mass transportation of Maxwell nanofluid. The convective boundary condition and zero mass flux conditions are incorporated. In mathematical derivation, the approximation of the boundary layer is applied. The primal motivation pertains to exaggerating the thermal transport of heat exchangers in industrial processes. To attain the effects of Brownian motion as well as thermophoresis the Buongiorno nanofluid is utilized. By assimilating suitable transformation, the concluding simultaneous for a non-linear set of equations is tackled numerically by hiring Runge-Kutta procedure. The coding is developed and run in the Matlab environment. The leading partial differential system is converted into an ordinary differential system. The role of emerging parameters is elaborated. Also tangible quantities i.e. Skin friction factor, Nusselt number, Sherwood number, and motile density coefficient are enumerated. An accession in the magnetic field causes depreciation in the velocity profile. Where increment in Schmidt number Sc causes a decrement in Sherwood number. The suitable ranges of parameters where increasing or decreasing behavior becomes smooth are taken as 0.0 ≤ M ≤ 6.0, 0.0 ≤ γ ≤ 0.8, 0.7 ≤ Pr ≤ 1.0, 0.1 ≤ Nt ≤ 0.7, 0.01 ≤ Nb ≤ 0.1, 3.0 ≤ Sc ≤ 6.0, 2.0 ≤ Lb ≤ 7.0, 0.1 ≤ Pe ≤ 0.7 and 1.0 ≤ δ ≤ 7.0. The applications of the current study can be seen in chemical and metallurgical industries, the process of thermo-fluid, power generation, executed via condensers, cooling, and heating in large buildings, transportation, etc.

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