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<p>Present study shows how chemical reactions affect the periphery layer flows of MHD nanofluid’s across non-linear stretching sheets using magnetic fields and variables connected to Brownian motion and thermophoresis. Different physical assumptions together with dimensionless parameters lead to the development of governing equations. The transformation of equations into third-order ODEs becomes possible through similarity transformations then leads to a first-order system that MATLAB solves through its built-in bvp4c function. A numerical analysis of nanofluid velocity &amp; temperature and concentration distributions takes place through graphic representations of dimensionless parameters. We display the validation data in a table format, demonstrating high concurrence with previously documented results. The boundary layer nanofluid velocity weakens when the stretching sheet parameter rises yet the temperature and concentration values increase as heat and mass transfer rates decline together with an elevated skin friction condition. When the rate of the chemical response is sped up, the concentration of the nanofluid drops, which improves mass transfer. When <i>n</i> = 1 the model becomes a linear stretching sheet so it serves to analyze linear and nonlinear stretching sheet dynamics. This study gives a complete picture by combining heat transfer, mass diffusion, MHD effects, chemical processes, and viscous dissipation. Other studies only looked at certain parts of the problem. It is the thing that can analyse flow over a linear and non-linear stretching surface. This model provides important information about the flow behavior of nanofluids affected by magnetic fields and chemical interactions. This helps improve industrial fluid handling and thermal management, especially in energy systems and power generation. It supports better heat transfer in MHD power generators, cooling in nuclear reactors, thermal protection in re-entry vehicles, and magnetically guided drug delivery.</p>

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Computational modelling of thermal and mass transport in MHD nanofluid flow across a non-linear surface with chemical response and viscous dissipation

  • 期刊论文

  • 发表日期：

    2025年5月22日

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  • G. Jithender Reddy,
  • V. V. L. Deepthi,
  • R. Srinivasa Raju,
  • B. Mallikarjuna Reddy,
  • Farhan Ali

摘要

Present study shows how chemical reactions affect the periphery layer flows of MHD nanofluid’s across non-linear stretching sheets using magnetic fields and variables connected to Brownian motion and thermophoresis. Different physical assumptions together with dimensionless parameters lead to the development of governing equations. The transformation of equations into third-order ODEs becomes possible through similarity transformations then leads to a first-order system that MATLAB solves through its built-in bvp4c function. A numerical analysis of nanofluid velocity & temperature and concentration distributions takes place through graphic representations of dimensionless parameters. We display the validation data in a table format, demonstrating high concurrence with previously documented results. The boundary layer nanofluid velocity weakens when the stretching sheet parameter rises yet the temperature and concentration values increase as heat and mass transfer rates decline together with an elevated skin friction condition. When the rate of the chemical response is sped up, the concentration of the nanofluid drops, which improves mass transfer. When n = 1 the model becomes a linear stretching sheet so it serves to analyze linear and nonlinear stretching sheet dynamics. This study gives a complete picture by combining heat transfer, mass diffusion, MHD effects, chemical processes, and viscous dissipation. Other studies only looked at certain parts of the problem. It is the thing that can analyse flow over a linear and non-linear stretching surface. This model provides important information about the flow behavior of nanofluids affected by magnetic fields and chemical interactions. This helps improve industrial fluid handling and thermal management, especially in energy systems and power generation. It supports better heat transfer in MHD power generators, cooling in nuclear reactors, thermal protection in re-entry vehicles, and magnetically guided drug delivery.