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Optimization of Thermal and Pressure Drop Performance in Circular Pin Fin Heat Sinks Using the TOPSIS Method

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  • Jemit Adhyaru

    (Department of Mechanical Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai 603203, India)

  • Mohan Uma

    (Department of Computational Intelligence, SRM Institute of Science and Technology, Kattankulathur, Chennai 603203, India)

  • Vedagiri Praveena

    (Department of Mechanical Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai 603203, India)

  • Prabhu Sethuramalingam

    (Department of Mechanical Engineering, SRM Institute of Science and Technology, Kattankulathur, Chennai 603203, India)

Abstract

This study aims to optimize the thermal performance of pin fin heat sinks by minimizing the maximum temperature of the heat source. Using ANSYS ICEPAK, simulations were conducted for various design parameters, including the number of fins, inlet flow rate, and fin thickness, across circular fins in both inline and staggered arrangements. The circular staggered configuration with 36 fins (3 mm thick) and a flow rate of 6 CFM (Cubic Feet per Minute) achieved the lowest temperature of 34.96 °C, outperforming the inline arrangement. The Taguchi method helped strike a balance between heat transfer and pressure drop, revealing that flow rate has a greater influence when varied compared to the number of fins and fin thickness. An optimal configuration was identified with 36 fins and a flow rate of 4 CFM, which was less sensitive to operational variations. Analysis of Variance (ANOVA) revealed that inlet flow rate significantly impacts heat sink performance, while polynomial regression models demonstrated strong generalization capabilities, with Root mean square error (RMSE) of 8.92%. These findings provide reliable predictive tools and practical insights for optimizing heat sink designs in electronics cooling applications. By utilizing the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method, the coefficient of relative closeness (Cn*) is plotted as a main effect. Referring to the multi-objective optimization-based TOPSIS method, it is found that the attributes are partly from the inlet flow rate (Q) are 63.4% of the number of fins (Nf) (25.05%).

Suggested Citation

  • Jemit Adhyaru & Mohan Uma & Vedagiri Praveena & Prabhu Sethuramalingam, 2024. "Optimization of Thermal and Pressure Drop Performance in Circular Pin Fin Heat Sinks Using the TOPSIS Method," Energies, MDPI, vol. 17(24), pages 1-36, December.
    • Handle: RePEc:gam:jeners:v:17:y:2024:i:24:p:6340-:d:1545227
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    References listed on IDEAS

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    1. Pinar Eneren & Yunus Tansu Aksoy & Maria Rosaria Vetrano, 2023. "Practical Challenges in Nanofluid Convective Heat Transfer Inside Silicon Microchannels," Energies, MDPI, vol. 16(23), pages 1-18, December.
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