基于MOEA/D的高温热管参数分析及多目标优化  

Parameter Analysis and Multi-objective Optimization of High Temperature Heat Pipe based on MOEA/D

作　　者：邢佳慧 倪浪 向立平 李星佑 高帆 XING Jia-hui;NI Lang;XIANG Li-ping;LI Xing-you;GAO Fan(College of Mechanical Engineering,University of South China,Hengyang 421001,China;School of Nuclear Science and Technology,University of South China,Hengyang 421001,China)

机构地区：[1]南华大学机械工程学院,湖南衡阳421001 [2]南华大学核科学技术学院,湖南衡阳421001

出　　处：《节能技术》2025年第1期92-96,F0003,共6页Energy Conservation Technology

基　　金：国家自然科学基金资助项目(52075528,11872374);2022年度省级大学生创业实践项目(S202210555137)。

摘　　要：为了提升高温热管工作性能,改进了传统热阻网络模型,利用MOEA/D算法优化蒸发段长度、壁厚和吸液芯厚度,以实现总热阻、传热极限和吸液芯质量流量最优,得到Pareto最优解。数值模拟结果表明:改进后的热阻网络模型与多组实验值对比总热阻误差均低于7%;总热阻受吸液芯厚度影响最为明显,吸液芯厚度越大总热阻越大;吸液芯质量流量与吸液芯厚度及壁厚成正比;传热极限与吸液芯厚度成反比;在750~850 K内,总热阻最佳可达0.0266 K/W,同实验值相比降低31%。本研究能提供更优的设计参数以提升热管工作性能。In order to improve the high temperature heat pipe work performance,improves the traditional thermal resistance network model,the MOEA/D algorithm was used to optimize the evaporation section,the thickness of the wall thickness and liquid core length,in order to realize the total thermal resistance,heat transfer limit and suction mass flow,the optimal liquid core,get the Pareto optimal solutions.The numerical simulation results show that the total thermal resistance error of the improved thermal resistance network model is lower than 7%compared with the experimental values.The total thermal resistance is most obviously affected by the thickness of the suction core,and the larger the thickness of the suction core,the greater the total thermal resistance.The mass flow rate of suction core is proportional to the thickness and wall thickness of suction core.The heat transfer limit is inversely proportional to the thickness of the suction core.In the range of 750 K~850 K,the optimal total thermal resistance can reach 0.0266 K/W,which is 31%lower than the experimental value.This study can provide better design parameters to improve the performance of heat pipes.

关 键 词：高温热管 热阻网络 参数优化 基于分解的多目标算法 PARETO最优解集 

分 类 号：TK124[动力工程及工程热物理—工程热物理]