发夹式换热器壳程流体传热特性及多目标优化  

Heat transfer characteristics and multi‑objective optimization of a shell‑side fluid in a hairpin heat exchanger

作　　者：李雅侠[1] 王鑫[1] 李百慧 张丽 张静[1] LI YaXia;WANG Xin;LI BaiHui;ZHANG Li;ZHANG Jing(College of Mechanical and Power Engineering;College of Chemical Engineering,Shenyang University of Chemical Technology,Shenyang 110142,China)

机构地区：[1]沈阳化工大学机械与动力工程学院,沈阳110142 [2]沈阳化工大学化学工程学院,沈阳110142

出　　处：《北京化工大学学报(自然科学版)》2025年第2期26-33,共8页Journal of Beijing University of Chemical Technology(Natural Science Edition)

基　　金：国家自然科学基金(51506133);辽宁省教育厅一般项目(LJ2020037)。

摘　　要：采用数值模拟方法研究了发夹式换热器的壳程流体换热特性,并以提高综合性能指标PEC(总换热量与总功耗之比)和减小无量纲材料成本M'(换热器材料成本与原结构材料成本之比)为目标建立神经网络模型,采用非支配排序遗传算法(NSGA-Ⅱ)对无量纲参数折流板间距l'、折流板缺口高度h'、曲率半径r'和雷诺数Re这4个设计变量进行多目标优化。结果显示:在本研究范围内,弯管段的换热量占换热器总换热量的5.0%~16.3%,而功耗仅占总功耗的0.5%~1.0%,说明弯管段结构的存在使得发夹式换热器在功耗小幅增加的情况下换热性能显著提高;参数优化后,得到l'的最佳取值为2.50,h'、r'、Re的最佳取值范围分别为0.33~0.45、0.80~1.30、8000~11000。从优化解集中选取两个代表性解,与原结构相比,优化结构1的PEC提高了25.12%,M'基本不变;优化结构2的PEC提高了17.93%,M'值降低了6.56%,结果表明多目标优化对发夹式换热器结构参数的优化效果明显。The shell-side fluid heat transfer characteristics of a hairpin heat exchanger have been studied by numerical simulation.In order to improve the comprehensive performance index PEC(the ratio of total heat trans-fer to total power consumption)and reduce the dimensionless material cost M'(the ratio of heat exchanger material cost to original structure material cost),a neural network model was established.The non-dominated sorting genetic algorithm(NSGA-Ⅱ)was used to optimize the four design variables of the key dimensionless parameters:baffle spacing l',baffle notch height h',curvature radius r'and Reynolds number Re.The results show that within the scope of this study,the heat transfer of the elbow section accounts for 5.0%-16.3%of the total heat transfer of the heat exchanger,while the power consumption only accounts for 0.5%-1.0%of the total power consumption,indicating that the existence of the elbow section structure significantly improves the heat transfer performance of the hairpin heat exchanger with only a slight increase in power consumption.After parameter optimization,the optimal value of l'is 2.50,and the optimal value ranges of h',r'and Re are 0.33-0.45,0.80-1.30 and 8000-11000,respectively.Two representative solutions were selected from the optimal solution set.Compared with the original structure,the PEC of the optimized structure 1 is increased by 25.12%,and the M'is essentially unchanged.The PEC of optimized structure 2 increased by 17.93%,and the M'decreased by 6.56%,indicating that multi-objec-tive optimization has an obvious advantage in the optimization of the structural parameters of hairpin heat exchangers.

关 键 词：发夹式换热器 结构参数 强化传热 非支配排序遗传算法(NSGA-Ⅱ) 多目标优化 

分 类 号：TK124[动力工程及工程热物理—工程热物理]