摘要
热管堆用高温热管的设计是存在约束的多目标优化问题,本文旨在实现高温热管的快速多目标设计优化。针对高温热管,考虑干道、槽道、丝网、烧结等吸液芯,基于改进热阻网络法,采用非支配遗传算法Ⅱ对热阻和毛细质量流量进行优化。结果表明,热管性能与工质和吸液芯有关,圆形和矩形干道采用工质钾更佳,三角槽和烧结纤维采用工质钠更佳;钠热管中热阻性能优劣依次为环形干道、丝网、矩形槽、烧结颗粒、烧结纤维、三角槽、圆形干道、矩形干道,流量性能优劣依次为环形干道、丝网、烧结颗粒、矩形槽、矩形干道、圆形干道、三角槽、烧结纤维;在800~950 K范围内,工作温度提升导致除环形干道外热阻减小89.9%以上,流量增加320.8%以上,环形干道中热阻减小93.5%,但流量减小8.8%。本研究可为核反应堆高温热管设计优化提供参考,提升高温热管性能。
The design of high-temperature heat pipe for heat pipe reactor is a multi-objective optimization problem with constraints.This paper aims to achieve rapid multi-objective design optimization of high-temperature heat pipe.For high-temperature heat pipe,main line,channel,wire mesh,sintering and other wicks are considered.In this paper,based on the improved thermal resistance network method,the non-dominant genetic algorithm II is used to optimize the thermal resistance and capillary mass flow.The results show that the performance of the heat pipe is related to the working medium and the wick.The working medium potassium is better for round and rectangular main lines,and the working medium sodium is better for triangular grooves and sintered fibers;For thermal resistance in sodium heat pipe,the ranking is in the order of circular main line,wire mesh,rectangular groove,sintered particles,sintered fiber,triangular groove,circular main line and rectangular main line;for flow,the ranking is in the order of circular main line,wire mesh,sintered particles,rectangular groove,rectangular main line,circular main line,triangular groove,sintered fiber.In the range of 800~950 K,the increase of working temperature results in the reduction of thermal resistance by more than 89.9%except for the annular main line,flow increase by more than 320.8%.In the annular main line,the thermal resistance is reduced by 93.5%,but the flow is reduced by 8.8%.This study can provide reference for the design optimization of high-temperature heat pipe of nuclear reactor,and for improving the performance of high-temperature heat pipe.
作者
田智星
王成龙
郭凯伦
张大林
田文喜
秋穗正
苏光辉
Tian Zhixing;Wang Chenglong;Guo Kailun;Zhang Dalin;Tian Wenxi;Qiu Suizheng;Su Guanghui(School of Nuclear Science and Technology,Xi'an Jiaotong University,Xi'an,710049,China)
出处
《核动力工程》
EI
CAS
CSCD
北大核心
2022年第6期85-92,共8页
Nuclear Power Engineering
基金
科技部重点研发计划(No.2019YFB1901100)
中央高校基本科研业务费专项资金(xzy022021030)
中国核动力研究设计院核反应堆系统设计技术重点实验室资助(HT-ZFYY-02-2019001)。
关键词
高温热管
非支配遗传算法Ⅱ
热阻网络
参数优化
High-temperature heat pipe
Non-dominated genetic algorithmⅡ
Thermal resistance network
Parameter optimization
