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<p>This study investigates the unsteady dissipative magnetohydrodynamic (MHD) flow of a Casson nanofluid over an inverted cone, incorporating the effects of a variable heat source/sink and a higher-order chemical reaction. Water-ethylene glycol is utilized as the Casson base fluid to enrich thermal conductivity and viscosity features. The governing partial differential equations depicting the constitutive momentum, energy, and concentration transport are formulated and converted into a dimensionless form employing suitable similarity variables. These equations are then solved numerically using the finite element method. The graphs and tables is used to illustrate that that increasing the absorbency parameter, Eckert number, and thermal generation enhances the fluid velocity, while nanofluid temperature declines with a mounted Prandtl number and nanoparticle volume fraction, and the opposite effect is perceived with increased Eckert, Dufour, and Soret numbers. Moreover, higher-order chemical reactions intensify species concentration variations, influencing diffusion characteristics. The study provides valuable insights into heat and mass transfer behavior in MHD nanofluid flows, which have potential applications in industrial processes, biomedical engineering, and energy systems.</p>

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A numerical simulation of unsteady dissipative MHD Casson nanofluid transport over an inverted cone with variable heat source/consumption and high order of reacting species

  • 期刊论文

  • 发表日期：

    2025年3月21日

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  • L. Joseph Sademaki,
  • B. Prabhakar Reddy,
  • Paul M. Matao

摘要

This study investigates the unsteady dissipative magnetohydrodynamic (MHD) flow of a Casson nanofluid over an inverted cone, incorporating the effects of a variable heat source/sink and a higher-order chemical reaction. Water-ethylene glycol is utilized as the Casson base fluid to enrich thermal conductivity and viscosity features. The governing partial differential equations depicting the constitutive momentum, energy, and concentration transport are formulated and converted into a dimensionless form employing suitable similarity variables. These equations are then solved numerically using the finite element method. The graphs and tables is used to illustrate that that increasing the absorbency parameter, Eckert number, and thermal generation enhances the fluid velocity, while nanofluid temperature declines with a mounted Prandtl number and nanoparticle volume fraction, and the opposite effect is perceived with increased Eckert, Dufour, and Soret numbers. Moreover, higher-order chemical reactions intensify species concentration variations, influencing diffusion characteristics. The study provides valuable insights into heat and mass transfer behavior in MHD nanofluid flows, which have potential applications in industrial processes, biomedical engineering, and energy systems.