石油化工2026，Vol.55Issue(3)：355-364,10.DOI:10.3969/j.issn.1000-8144.2026.03.006
基于多目标粒子群优化算法的复合型传热强化元件的结构优化
Structural optimization of composite heat transfer enhancement elements based on multi-objective particle swarm optimization algorithm
摘要
Abstract
A Kenics composite static mixer with side-slot spiral fins was designed.The turbulent velocity field and temperature field within the mixer were investigated by combining numerical simulation and experiment.The heat transfer performance was evaluated based on the field synergy principle,and the structure parameters were optimized using the multi-objective particle swarm optimization algorithm.The experimental results show that the high-speed flow in the blade region and the twisted cross-flow streamlines induce strong vortex structures,which enhance the synergy between the temperature field and velocity field,and effectively improve the heat transfer efficiency.The optimal comprehensive heat transfer performance of the mixer is achieved when the spiral length ratio is 0.39,the inner/outer component width ratio is 0.25,the number of side slots in the cross-section is 6,and the slot depth ratio is 0.06.Compared with the traditional Kenics static mixer,Nu increases by 3.05%-17.13%,and the comprehensive heat transfer evaluation coefficient factor increases by 6%-14%.关键词
静态混合器/传热性能/多目标粒子群优化算法/结构优化Key words
static mixer/heat transfer performance/multi-objective particle swarm optimization algorithm/structural optimization分类
化学化工引用本文复制引用
张春梅,安奕昕,卢颢轩,冯超然,谢明豪..基于多目标粒子群优化算法的复合型传热强化元件的结构优化[J].石油化工,2026,55(3):355-364,10.基金项目
辽宁省应用基础研究项目(2023JH2/101300006). （2023JH2/101300006）
