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Multi-Objective Particle Swarm Based Optimization of an Air Jet Impingement System

Author

Listed:
  • Pablo Martínez-Filgueira

    (CS Centro Stirling S. Coop., Avenida Álava 3, 20550 Aretxabaleta, Spain
    Nuclear Engineering & Fluid Mechanics Department, University of the Basque Country, UPV/EHU, Nieves Cano 12, 01016 Vitoria-Gasteiz, Spain)

  • Ekaitz Zulueta

    (System Engineering & Automation Control Department, University of the Basque Country, UPV/EHU, Nieves Cano 12, 01016 Vitoria-Gasteiz, Spain)

  • Ander Sánchez-Chica

    (System Engineering & Automation Control Department, University of the Basque Country, UPV/EHU, Nieves Cano 12, 01016 Vitoria-Gasteiz, Spain)

  • Unai Fernández-Gámiz

    (Nuclear Engineering & Fluid Mechanics Department, University of the Basque Country, UPV/EHU, Nieves Cano 12, 01016 Vitoria-Gasteiz, Spain)

  • Josu Soriano

    (CS Centro Stirling S. Coop., Avenida Álava 3, 20550 Aretxabaleta, Spain)

Abstract

Air jet impingement systems have proven to be a very efficient way of heat transfer in single phase flows, which has allowed them to be applied in several industries. However, the complexity of the physical phenomena that take place in the cooling or heating processes makes the task of designing and sizing a system of this type very difficult. The objective of this work is to develop a methodology for the optimization of the impingement plate for electronic components cooling systems. The component chosen to exemplify this work is an insulated gate bipolar transistor (IGBT) such as those employed in photovoltaic inverters. The proposed methodology is divided into the thermo-hydraulic calculation process and the optimization of the system. This optimization is carried out using a multi-objective particle swarm optimization (PSO) algorithm that seeks the best compromise between two variables: Component temperature and manufacturing time of the impingement plate. The result is a calculation tool that can quickly find the solution that meets the requirements of the designer without the need to evaluate all possible solutions.

Suggested Citation

  • Pablo Martínez-Filgueira & Ekaitz Zulueta & Ander Sánchez-Chica & Unai Fernández-Gámiz & Josu Soriano, 2019. "Multi-Objective Particle Swarm Based Optimization of an Air Jet Impingement System," Energies, MDPI, vol. 12(9), pages 1-16, April.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:9:p:1627-:d:226881
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    References listed on IDEAS

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    1. Yan Wang & Qing Gao & Tianshi Zhang & Guohua Wang & Zhipeng Jiang & Yunxia Li, 2017. "Advances in Integrated Vehicle Thermal Management and Numerical Simulation," Energies, MDPI, vol. 10(10), pages 1-30, October.
    2. Kai Chen & Zeyu Li & Yiming Chen & Shuming Long & Junsheng Hou & Mengxuan Song & Shuangfeng Wang, 2017. "Design of Parallel Air-Cooled Battery Thermal Management System through Numerical Study," Energies, MDPI, vol. 10(10), pages 1-22, October.
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    Cited by:

    1. Liang Xu & Tao Yang & Yanhua Sun & Lei Xi & Jianmin Gao & Yunlong Li, 2021. "Flow and Heat Transfer Characteristics of a Swirling Impinging Jet Issuing from a Threaded Nozzle of 45 Degrees," Energies, MDPI, vol. 14(24), pages 1-26, December.
    2. Ander Sánchez-Chica & Ekaitz Zulueta & Daniel Teso-Fz-Betoño & Pablo Martínez-Filgueira & Unai Fernandez-Gamiz, 2019. "ANN-Based Stop Criteria for a Genetic Algorithm Applied to Air Impingement Design," Energies, MDPI, vol. 13(1), pages 1-17, December.

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