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.

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In order to solve the optimization problem of the disk magnetic coupler, the two optimization schemes, the orthogonal test and multiobjective genetic algorithm, were used to optimize the disk magnetic coupler to maximize the magnetic torque while reducing the eddy current loss, and then the correctness of the optimization results was verified by electromagnetic simulation experiments. The eddy current loss and magnetic torque of the optimized disk magnetic coupler were normalized by using the comprehensive evaluation function. After orthogonal test and multiobjective genetic algorithm optimization, the comprehensive evaluation value of the disk magnetic coupler increased by 2.43 times and 3.30 times, respectively, and the optimization effect of multiobjective genetic algorithm is more significant. The relative errors between theoretical and simulated values of the maximum magnetic torque and eddy current loss by multiobjective genetic algorithm are 2.22%–4.72% and 1.13%–6.41%, respectively, suggesting that the optimization method is feasible. The research results show that the multiobjective genetic algorithm optimization can significantly improve the performance of magnetic disk coupler, which can provide theoretical and technical basis for the design of disk magnetic coupler.

In order to efficiently solve the problem of optimization of the micro-channel heat sink, an optimization strategy combining intelligent algorithms and computational fluid dynamics was proposed. The micro-channel heat sink with the trapezoidal cavity and solid/slotted oval pins was proposed to enhance heat transfer. The aspect ratio, distance from the center of the oval pin to the center of the cavity, and slot thickness were design variables. The thermal resistance and pumping power of the micro-channel heat sink were objective functions. Within the selected range of design variables, thirty groups of uniformly sampled sample points were obtained by the Latin hypercube experiment. The three-dimensional model was established by Solidworks software, and the numerical simulation was carried out by using Fluent software. The genetic algorithm optimized back propagation neural network to construct the prediction model, and the simulated data of Latin hypercube sampling were trained to obtain the nonlinear mapping relationship between design variables and objective functions. The optimal combination of structural parameters of the micro-channel heat sink was obtained by optimization of the genetic algorithm, which was verified by numerical simulation. The results show that the optimization scheme was suitable for getting the optimal value of the structural parameters of the micro-channel heat sink, which provided a reference for the optimal design of the micro-channel heat sink.