Scholarlink

<p>Influence of heat transfer in Williamson nanofluids mixed with up lifting motile thermophile microorganisms across a wedge/cone’s walls is defined in this article. Second-order velocity slip effects with the conditions of variable non-isothermal/isosolutal in existences of magnetic field are also examined. A transmuted formulation is engaged in an ordinary differential form by involving similarity transformations with the appropriate boundaries. A robust coding based on bvp4c in computational software MTLAB is used to calculate the problem. The graphical and numerical results concerning physical quantities, including velocity, temperature, concentration, and gyrotactic microbe density, are examined under the impact of physical parameters. The enhancement in velocity of Newtonian and Williamson nanofluids is noticeable through a cone than through a wedge. Furthermore, the reduction in thermal impression and concentration of the nanofluid flow is more apparent for Williamson fluids compared to Newtonian fluids. Furthermore, these ideas are more prominent for the wedge in comparison with the cone. In addition to the numerical results, an ANN model is generated and trained for the current study and the results are generated. It is noteworthy that the ANN-generated results are up to the mark and the ANN model can be directly used to compute the results.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Thermal analysis of Williamson nanofluid in cone and wedge geometries: an ANN optimization

  • 期刊论文

  • 发表日期：

    2025年9月6日

查看全文
  • Muhammad Zaman,
  • Shah Jahan,
  • Muhammad Sohail,
  • Muhammad Farman,
  • Kottakkaran Sooppy Nisar

摘要

Influence of heat transfer in Williamson nanofluids mixed with up lifting motile thermophile microorganisms across a wedge/cone’s walls is defined in this article. Second-order velocity slip effects with the conditions of variable non-isothermal/isosolutal in existences of magnetic field are also examined. A transmuted formulation is engaged in an ordinary differential form by involving similarity transformations with the appropriate boundaries. A robust coding based on bvp4c in computational software MTLAB is used to calculate the problem. The graphical and numerical results concerning physical quantities, including velocity, temperature, concentration, and gyrotactic microbe density, are examined under the impact of physical parameters. The enhancement in velocity of Newtonian and Williamson nanofluids is noticeable through a cone than through a wedge. Furthermore, the reduction in thermal impression and concentration of the nanofluid flow is more apparent for Williamson fluids compared to Newtonian fluids. Furthermore, these ideas are more prominent for the wedge in comparison with the cone. In addition to the numerical results, an ANN model is generated and trained for the current study and the results are generated. It is noteworthy that the ANN-generated results are up to the mark and the ANN model can be directly used to compute the results.