航天医学与医学工程

目的 在产品研制过程中，振动环境是设计人员考虑的重要因素，动力学特性能够表征产品抵抗振动环境的能力。传统动力学设计流程依赖试验迭代，设计周期长、成本高。本研究提出一种产品动力学特性人机交互式优化设计方法，为解决此问题提供新思路。方法 产品动力学特性人机交互式优化设计方法融合人、机协同优势，综合利用两者特长，通过人工判读计算机模态振型动画，识别结构在振动环境中的薄弱位置，采用人机交互方式对产品的拓扑结构进行强指向性的迭代优化。本研究采用该方法对一种薄壁结构产品进行优化设计。结果 优化后产品在不增加重量的同时，基频与优化前相比，提高133%，正弦激励下节点响应与优化前相比，降低77%，最大应力与优化前相比，降低94%。优化后产品满足设计要求，优化效果明显。结论 该薄壁结构产品的动力学特性人机交互式优化设计验证了该方法可行、有效，达到了缩短研制周期和节约成本的目的，可为类似产品的优化设计提供参考。

Objective In the development of products, vibration environments are critical factors to consider, as the dynamic characteristics of these products reflect their ability to withstand vibrational loads. Traditional dynamic design processes for products rely on experimental iterations, leading to long design cycles and high costs. This study proposes a human-computer interactive optimization design method for the dynamic characteristics of products, offering a potential solution to address these challenges. Methods The proposed method integrates the strengths of both human beings and computers, leveraging their respective expertise. By manually interpreting computer-generated modal animation results, structural weaknesses under vibrational loads are identified. Subsequently, a human-computer interactive approach is employed to iteratively optimize the product's topology with strong directional guidance. This method was applied to optimize a thin-walled cylindrical product currently under development. Results After optimization, the product's fundamental frequency increased by 133% without weight gain. Under sinusoidal excitation, node response decreased by 77% and maximum stress decreased by 94% compared to the pre-optimization state. The optimized product meets design requirements with significant improvement. Conclusion The human-computer interactive optimization method for dynamic characteristics has been successfully validated through this thin-walled product. This approach is both feasible and effective, achieving the goal of reducing design cycles and costs which can be served as valuable references for optimizing similar products.