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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OA

Structural optimization of composite heat transfer enhancement elements based on multi-objective particle swarm optimization algorithm

中文摘要英文摘要

设计了一种边槽螺旋翅片复合Kenics型静态混合器,采用数值模拟与实验相结合的方法对该混合器的湍流速度场和温度场进行研究,基于场协同原理对传热性能进行评价,采用多目标粒子群优化算法对结构进行优化设计.实验结果表明,叶片区的高速流与扭曲交叉的流线诱导强涡旋结构生成,使温度场与速度场协同性更好,有效提升传热效率.当螺长比为0.39、内外元件宽度比为 0.25、截面边槽数为 6 和槽深比为 0.06 时,该混合器的综合传热性能最优.相较于传统的Kenics型静态混合器,Nu提高了3.05%~17.13%,综合传热评价系数提升了6%~14%.

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%.

张春梅;安奕昕;卢颢轩;冯超然;谢明豪

沈阳化工大学 机械与动力工程学院,辽宁 沈阳 110142沈阳化工大学 机械与动力工程学院,辽宁 沈阳 110142沈阳化工大学 机械与动力工程学院,辽宁 沈阳 110142沈阳化工大学 机械与动力工程学院,辽宁 沈阳 110142沈阳化工大学 机械与动力工程学院,辽宁 沈阳 110142

化学化工

静态混合器传热性能多目标粒子群优化算法结构优化

static mixerheat transfer performancemulti-objective particle swarm optimization algorithmstructural optimization

《石油化工》 2026 (3)

355-364,10

辽宁省应用基础研究项目(2023JH2/101300006).

10.3969/j.issn.1000-8144.2026.03.006

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