Gyroid型TPMS结构非均匀填充的主动冷却结构性能分析OA
Performance analysis of active cooling structures with non-uniform filling Gyroid-type TPMS structures
基于Gyroid型三周期极小曲面结构(TPMS)填充的主动冷却结构性能提升设计问题,讨论三周期极小曲面构型描述参数(形状描述参数和厚度)的非均匀分布对冷却效果的影响.通过冷却管道中填充4个单胞的主动冷却结构的冷却效果的数值仿真,分析TPMS结构厚度、形状等描述参数的不同分布对冷却性能的影响.通过对不同厚度下的均匀填充TPMS结构的冷却性能分析,验证了TPMS的厚度与冷却效果正相关.然后运用正交实验的方法,分析了39组不同形状参数C分布的梯度填充TPMS冷却结构的冷却性能,获得了冷却效果最佳的形状参数.其冷却效果相较于均匀填充结构的冷却效果提升5.05%,表明通过合理的非均匀填充设计,可有效提高三周期极小曲面冷却结构的冷却效果.
This article studies the performance improvement design problem of active cooling structures with filled Gyroid-type triply periodic minimal surface structures(TPMS),and discusses the influence of non-uniform distribution of configuration description parameters(shape description parameters and thickness)of TPMS structures on the cooling performance.Specifically,through numerical simulation of the active cooling structure with four cells filled,the influence of different distributions of descriptive parameters such as thickness and shape of the TPMS structure on cooling performance is analyzed.Firstly,by analyzing the cooling performance of uniformly filled TPMS structures with different thicknesses,it was verified that the thickness of TPMS is positively correlated with the cooling performance.Then,using the orthogonal experimental method,the cooling performance of 39 gradient-filled TPMS cooling structures with different shape parameter C distributions was analyzed,and the shape parameters with the best cooling performance were obtained.Compared with the cooling performance of the uniformly filled structure,its cooling performance has increased by 5.05%,indicating that through a reasonable non-uniform filling design,the cooling performance of the triply periodic minimal surface cooling structure can be effectively improved.
胡宇新;刘书田
大连理工大学工程力学系,工业装备结构分析优化与CAE软件全国重点实验室,大连 116024大连理工大学工程力学系,工业装备结构分析优化与CAE软件全国重点实验室,大连 116024
数理科学
Gyroid型三周期极小曲面非均匀分布正交实验梯度填充冷却效果
Gyroid type triply periodic minimal surfacenon-uniform distributionorthogonal experimentgradient fillingcooling effect
《计算力学学报》 2026 (2)
169-175,7
国家自然科学基金(U2341232)资助项目.
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