双层H形分形流道冷却结构性能分析与多目标优化OA

With increasing integration of electronic components,the challenges associated with heat dissipation due to high heat flux density are becoming increasingly significant.Enhancing both the performance and uniformity of heat dissipation can effectively extend the service life of electronic components and improve their performance stability.To address the heat dissipation requirements of densely arranged high-power chips,this paper enhances the double-layer H-shaped fractal microfluidic liquid cold plate,originally designed based on fractal theory,by optimizing its flow channel arrangement to improve heat dissipation uniformity.First,a method to optimize the distribution of local runners is proposed,and several parameters that may influence heat dissipation performance and uniformity are defined.Subsequently,a univariate analysis method is employed to identify three parameters suitable for optimization,which are then utilized as design variables to establish a Kriging response model correlating the objective functions.Finally,the Mantis Search Algorithm(MOMSA)is applied for multi-objective optimization,resulting in the identification of optimized geometric parameters.The results indicate that the maximum temperature(Tmax)and temperature difference(△T)corresponding to the optimized flow channel are reduced by 11.74％and 26.15％,respectively,demonstrating significant optimization effects.This study presents an effective approach for enhancing the heat dissipation performance of fractal flow channels,thereby increasing their applicability under conditions of high heat flux density.