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<p>The wavy fin made with a wavelike pattern that enhances surface area and boosts heat transfer efficiency by disturbing the airflow for better cooling and makes them perfect for applications in energy conversion devices. Hence, a new mathematical model describing the heat transfer through wavy fin under the Local Thermal Non-Equilibrium (LTNE) is developed. The LTNE framework is employed because the solid and fluid phases exhibit distinct thermal characteristics. Consequently, separate energy equations are formulated for the solid and fluid phases. The fin is wetted with penta-hybrid nanofluid in order to improve the system’s thermal efficiency. The impact of nanoparticle morphology, more especially spherical and blade-like shapes, on the thermal properties of the fin is also investigated. The Runge–Kutta–Fehlberg fourth fifth-order (RKF45) method is used to solve the governing nonlinear ordinary differential equations numerically after they are non-dimensionalised. The numerical results are benchmarked with pre-existing results and are closely aligned with them. One important finding demonstrates that waviness improves interphase heat transfer, making the fluid hotter in the mid-region while conduction keeps the solid hotter at the base and tip. Further, from the analysis, it is seen that, the solid temperature rise due to the penta-hybrid nanofluid ranges from around 6% at the base to nearly 66% at the tip at an almost the difference of 6%. Blade-shaped nanoparticles deliver even greater thermal enhancement due to their stronger fluid interaction and larger effective surface area. The Artificial Neural Network (ANN) model’s accuracy in forecasting the efficiency of the fin is supported by the regression coefficient <InlineEquation ID="IEq1"> <EquationSource Format="TEX">\(R = 1\)</EquationSource> <EquationSource Format="MATHML"><math> <mrow> <mi>R</mi> <mo>=</mo> <mn>1</mn> </mrow> </math></EquationSource> </InlineEquation>.</p>

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A compact local thermal non-equilibrium model for thermal optimization of corrugated fin in the presence of penta-hybrid nanofluids

  • 期刊论文

  • 发表日期：

    2026年6月1日

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  • Manaswini R,
  • S. Manjunatha,
  • T. N. Tanuja,
  • B. J. Gireesha

摘要

The wavy fin made with a wavelike pattern that enhances surface area and boosts heat transfer efficiency by disturbing the airflow for better cooling and makes them perfect for applications in energy conversion devices. Hence, a new mathematical model describing the heat transfer through wavy fin under the Local Thermal Non-Equilibrium (LTNE) is developed. The LTNE framework is employed because the solid and fluid phases exhibit distinct thermal characteristics. Consequently, separate energy equations are formulated for the solid and fluid phases. The fin is wetted with penta-hybrid nanofluid in order to improve the system’s thermal efficiency. The impact of nanoparticle morphology, more especially spherical and blade-like shapes, on the thermal properties of the fin is also investigated. The Runge–Kutta–Fehlberg fourth fifth-order (RKF45) method is used to solve the governing nonlinear ordinary differential equations numerically after they are non-dimensionalised. The numerical results are benchmarked with pre-existing results and are closely aligned with them. One important finding demonstrates that waviness improves interphase heat transfer, making the fluid hotter in the mid-region while conduction keeps the solid hotter at the base and tip. Further, from the analysis, it is seen that, the solid temperature rise due to the penta-hybrid nanofluid ranges from around 6% at the base to nearly 66% at the tip at an almost the difference of 6%. Blade-shaped nanoparticles deliver even greater thermal enhancement due to their stronger fluid interaction and larger effective surface area. The Artificial Neural Network (ANN) model’s accuracy in forecasting the efficiency of the fin is supported by the regression coefficient \(R = 1\) R = 1 .