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

Pablo Martínez-Filgueira, Ekaitz Zulueta, Ander Sánchez-Chica, Unai Fernández-Gámiz and Josu Soriano
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Pablo Martínez-Filgueira: CS Centro Stirling S. Coop., Avenida Álava 3, 20550 Aretxabaleta, 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

Energies, 2019, vol. 12, issue 9, 1-16

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.

Keywords: particle swarm optimization; multi-objective optimization; air jet impingement; crossflow; cooling enhancement (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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