Optimization of open micro-channel heat sink with pin fins by multi-objective genetic algorithm

Abstract

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.

Optimization of Disk Magnetic Coupler Based on Orthogonal Test and Multiobjective Genetic Algorithm

“…Te orthogonal test is an experimental design method that uses orthogonal tables to arrange experiments and perform multifactor and multilevel data analysis [27]. In this article, the purpose of the orthogonal test is to investigate the infuence of geometric parameters of the disk magnetic coupler on maximum magnetic torque and eddy current loss.…”

“…Model Formation. Te response surface approximation was performed to obtain the ftting polynomial function between the objective functions and the design variables [27]. Te response surface approximation model is a secondorder model, which has an intercept term, a linear term, a square term, and a quadratic interaction term [27,28]:…”

“…Te root mean square error, the sum of squared errors, and multivariate statistical coefcients were used to estimate the efectiveness of the ftting equation of the maximum magnetic torque and eddy current loss, which is defned as follows [27]:…”

“…In the multiobjective optimization design of the disk magnetic coupler, the Pareto optimal solution is not unique, but multiple solutions form Parteo optimal solution set [27]. Te Pareto solution set of the objective functions is clustered by Kmeans clustering algorithm to fnd a group of the representative solution set in the Pareto solution set, as shown in Figure 13.…”

Design and Optimization of Heat Sinks for the Liquid Cooling of Electronics with Multiple Heat Sources: A Literature Review

“…A similar approach has been adopted by Wang et al [121]. Jiang and Pan [122] used the orthogonal test, NSGA-II, and k-mean clustering methods for multi-objective optimization of rectangular fins. Their results showed that a non-uniform fin array with higher pin heights (at the second and fourth row) and thinner fin thicknesses (along the direction of flow) could reduce the thermal resistance of the heat sink.…”