Open AccessOptimization of open micro-channel heat sink with pin fins by multi-objective genetic algorithm
Author(s) -
Meixia Jiang,
Pan Zhang
Publication year - 2022
Publication title -
thermal science/thermal science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.339
H-Index - 43
eISSN - 2334-7163
pISSN - 0354-9836
DOI - 10.2298/tsci211023015j
Subject(s) - heat sink , thermal resistance , heat transfer , materials science , sink (geography) , dissipation , computer science , channel (broadcasting) , cluster analysis , mechanical engineering , mechanics , thermodynamics , engineering , physics , computer network , cartography , machine learning , geography
Microchannel heat sink is an effective way to solve the heat dissipation problem of electronic devices because of its compact structure and outstanding heat dissipation ability. In order to obtain the high efficiency and low resistance microchannel heat sink , a new structure of open rectangular microchannel heat sink with pin fins was proposed to enhance heat transfer. The orthogonal test method was used to design the experiment, and the three-dimensional software Solidworks was used to establish 25 groups of open rectangular microchannel heat sink with pin fins structure model which has different structural parameters. The numerical calculation was carried out with ANSYS Fluent simulation software and the experimental values with the structural parameters of the microchannel heat sink as variables were obtained. According to the simulated experimental values, the objective functions of thermal resistance and pumping power were constructed, and the agent model between objective functions and the optimization variables were established. The Pareto optimal solutions of objective functions were calculated by non dominated sorting genetic algorithm NSGA-II, which was analyzed by k-means clustering analysis and five clustering points were obtained, and five clusters points were compared and verified by simulation. it was found that there was effective tradeoff points between the highest and lowest points of the five clustering which can make both the pumping power and thermal resistance within the optimal range, so as to obtain the optimal microchannel heat sink.