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Design Optimization of Pin Fin Geometry Using Particle Swarm Optimization Algorithm

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  • Nawaf Hamadneh
  • Waqar A Khan
  • Saratha Sathasivam
  • Hong Choon Ong

Abstract

Particle swarm optimization (PSO) is employed to investigate the overall performance of a pin fin.The following study will examine the effect of governing parameters on overall thermal/fluid performance associated with different fin geometries, including, rectangular plate fins as well as square, circular, and elliptical pin fins. The idea of entropy generation minimization, EGM is employed to combine the effects of thermal resistance and pressure drop within the heat sink. A general dimensionless expression for the entropy generation rate is obtained by considering a control volume around the pin fin including base plate and applying the conservations equations for mass and energy with the entropy balance. Selected fin geometries are examined for the heat transfer, fluid friction, and the minimum entropy generation rate corresponding to different parameters including axis ratio, aspect ratio, and Reynolds number. The results clearly indicate that the preferred fin profile is very dependent on these parameters.

Suggested Citation

  • Nawaf Hamadneh & Waqar A Khan & Saratha Sathasivam & Hong Choon Ong, 2013. "Design Optimization of Pin Fin Geometry Using Particle Swarm Optimization Algorithm," PLOS ONE, Public Library of Science, vol. 8(5), pages 1-9, May.
    • Handle: RePEc:plo:pone00:0066080
    DOI: 10.1371/journal.pone.0066080
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    References listed on IDEAS

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    1. Nash, John, 1950. "The Bargaining Problem," Econometrica, Econometric Society, vol. 18(2), pages 155-162, April.
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    1. Ocłoń, Paweł & Łopata, Stanisław & Stelmach, Tomasz & Li, Mingjie & Zhang, Jian-Fei & Mzad, Hocine & Tao, Wen-Quan, 2021. "Design optimization of a high-temperature fin-and-tube heat exchanger manifold – A case study," Energy, Elsevier, vol. 215(PB).
    2. Qiao Zhao & Mounir Mecheri & Thibaut Neveux & Romain Privat & Jean-Noël Jaubert & Yann Le Moullec, 2023. "Search for the Optimal Design of a Supercritical-CO 2 Brayton Power Cycle from a Superstructure-Based Approach Implemented in a Commercial Simulation Software," Energies, MDPI, vol. 16(14), pages 1-31, July.
    3. Xinmiao Li & Jing Li & Yukeng Wu, 2015. "A Global Optimization Approach to Multi-Polarity Sentiment Analysis," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-18, April.
    4. Touqeer Ahmed Jumani & Mohd Wazir Mustafa & Nawaf N. Hamadneh & Samer H. Atawneh & Madihah Md. Rasid & Nayyar Hussain Mirjat & Muhammad Akram Bhayo & Ilyas Khan, 2020. "Computational Intelligence-Based Optimization Methods for Power Quality and Dynamic Response Enhancement of ac Microgrids," Energies, MDPI, vol. 13(16), pages 1-22, August.

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