机械

光机系统散热性能直接影响系统的工作稳定性与整体性能。本文旨在提升光机系统的散热性能和结构可靠性，以降低最高温度和减小最大变形量为目标，对散热结构进行多目标优化设计。对原始和初步优化后的散热结构进行热-固耦合分析；提取初步优化后散热结构的设计参数，采用最佳空间填充设计法（Optimal Space-Filling Design,OSF）结合Kriging法构建响应面模型；运用多目标遗传算法（Multi-Objective Genetic Algorithm,MOGA）对响应面模型进行优化求解。最后对结构进行参数化重构和验证，结果表明：相较于原始结构，响应面优化后的散热结构最高温度降低了9.79%，最大变形量减少了28.3%，有效提升了光机系统的散热性能和结构可靠性。

The heat dissipation performance of optomechanical systems directly determines their operational stability and overall performance. This study aims to enhance the heat dissipation performance and structural reliability of such systems. Targeting the minimization of maximum temperature and maximum deformation, a multi-objective optimization design of the thermal management structure was conducted. Thermo-mechanical coupling analysis was performed on both the original and a preliminarily optimized structure. Key design parameters from the preliminary optimization were extracted. An Optimal Space-Filling Design(OSF), in conjunction with the Kriging method, was employed to construct the response surface model. Subsequently, a Multi-Objective Genetic Algorithm(MOGA) was applied to optimize this model. Parametric reconstruction and validation of the optimized structure were performed. Results demonstrate that, compared to the original structure, the optimized thermal management structure achieved reductions of 9.79% in maximum temperature and 28.3% in maximum deformation, thereby significantly enhancing both heat dissipation performance and structural reliability.