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<p>The interplay of mixed natural and forced convection in adiabatic enclosures is crucial for a range of engineering applications, including heat exchangers and magneto-convective cooling systems. While previous studies have investigated combinations of influential factors, including wall geometry, magnetic fields, moving objects, and the behavior of Newtonian and non-Newtonian fluids, none have comprehensively explored these factors altogether. Thus, the aim of this study is to investigate these parameters collectively within a unified framework. Through numerical simulations, the effects of cylinder orientation, Richardson numbers (Ri), Hartmann numbers (Ha), power-law indices (n), and nanoparticle volume fractions (φ) on heat transfer are systematically examined. The findings reveal that increasing the power-law index significantly elevates the average Nusselt number (Nu) across all fluid types. In shear-thinning nanofluids, a higher Richardson number generally lowers the average Nu, while in conditions dominated by forced convection (low Ri), a higher Ha boosts Nu. The addition of nanoparticles invariably improves the Nu, indicating improved heat transfer. When utilizing magnetic fields, an overall increase in Nu is observed, with specific optimal nanoparticle fractions identified for varying Ha conditions, 4% at low Ha and 5% at high Ha. Additionally, positioning of hot cylinders significantly influences heat transfer rates; placing the hot cylinder on the right optimizes Nu in shear-thinning and Newtonian fluids across all Ri, whereas this setup lowers Nu in shear-thickening fluids except at the lowest Ri = 0.1. These results provide enhanced control over heat transfer mechanisms, offering pathways for optimizing thermal management in advanced energy and industrial applications.</p>

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Numerical Investigation of Magneto-Convection: Heat Transfer and Fluid Dynamics of Newtonian/Non-Newtonian Nanofluids Between Hot and Cold Cylinders in an Adiabatic Wavy Enclosures

  • 期刊论文

  • 发表日期：

    2025年6月16日

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  • Amirhossein Bagheri Sarvestani,
  • Amir Hossein Vakilzadeh,
  • Kourosh Javaherdeh,
  • Reza Kamali,
  • Hossein Bakhshipour

摘要

The interplay of mixed natural and forced convection in adiabatic enclosures is crucial for a range of engineering applications, including heat exchangers and magneto-convective cooling systems. While previous studies have investigated combinations of influential factors, including wall geometry, magnetic fields, moving objects, and the behavior of Newtonian and non-Newtonian fluids, none have comprehensively explored these factors altogether. Thus, the aim of this study is to investigate these parameters collectively within a unified framework. Through numerical simulations, the effects of cylinder orientation, Richardson numbers (Ri), Hartmann numbers (Ha), power-law indices (n), and nanoparticle volume fractions (φ) on heat transfer are systematically examined. The findings reveal that increasing the power-law index significantly elevates the average Nusselt number (Nu) across all fluid types. In shear-thinning nanofluids, a higher Richardson number generally lowers the average Nu, while in conditions dominated by forced convection (low Ri), a higher Ha boosts Nu. The addition of nanoparticles invariably improves the Nu, indicating improved heat transfer. When utilizing magnetic fields, an overall increase in Nu is observed, with specific optimal nanoparticle fractions identified for varying Ha conditions, 4% at low Ha and 5% at high Ha. Additionally, positioning of hot cylinders significantly influences heat transfer rates; placing the hot cylinder on the right optimizes Nu in shear-thinning and Newtonian fluids across all Ri, whereas this setup lowers Nu in shear-thickening fluids except at the lowest Ri = 0.1. These results provide enhanced control over heat transfer mechanisms, offering pathways for optimizing thermal management in advanced energy and industrial applications.