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Multi-Objective Particle Swarm Based Optimization of an Air Jet Impingement System by Martínez-Filgueira, Pablo; Zulueta, Ekaitz; Sánchez-Chica, Ander; Fernández-Gámiz, Unai; Soriano, Josu is a Engineering article available to read on EtoBox.

What is Multi-Objective Particle Swarm Based Optimization of an Air Jet Impingement System about?

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.

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

Author

Martínez-Filgueira, Pablo; Zulueta, Ekaitz; Sánchez-Chica, Ander; Fernández-Gámiz, Unai; Soriano, Josu

Publisher

MDPI AG; Multidisciplinary Digital Publishing Institute (MDPI); Basel: Molecular Diversity Preservation International (MDPI), 2008- (ISSN 1996-1073)

Published

2019

Language

EN

Field

Engineering (Physical Sciences)