基于遗传算法的管式除雾器多目标优化设计  

Multi-objective optimization of a tube separator by genetic algorithm

作　　者：杨来顺 王建星 孙煜 徐明海[1] YANG Lai-shun;WANG Jian-xing;SUN Yu;XU Ming-hai(College of Pipeline and Civil Engineering,China University of Petroleum(East China),Qingdao 266580,China;Key Laboratory of Space Utilization,Technology and Engineering Center for Space Utilization,Chinese Academy of Sciences,Beijing 100094,China)

机构地区：[1]中国石油大学(华东)储运与建筑工程学院,山东青岛266580 [2]中国科学院空间应用工程与技术中心中国科学院太空应用重点实验室,北京100094

出　　处：《高校化学工程学报》2020年第3期792-801,共10页Journal of Chemical Engineering of Chinese Universities

基　　金：国家自然科学基金(51276199);中央高校基本科研业务费专项资金(17CX06021)。

摘　　要：开孔管式除雾器是一种具有较低流动阻力的除雾器,为了研究其结构对性能的影响、设计高效低阻的管式除雾器,借助计算流体力学(CFD)软件,分析了设计变量(翅片直径、螺距、管长和入口流速)对除雾效率和压降的单因素和多因素影响,通过响应面法(RSM)建立数学关系式,并利用第2代非支配排序遗传算法(NSGA-Ⅱ)进行多目标优化设计,得到了一系列具有较高除雾效率和较低流动阻力除雾器结构的帕累托优化点集。结果表明,增加螺距、管长和入口流速有利于增加除雾效率,加长螺距可以减小流动阻力。与初始设计对比发现,帕累托优化点的除雾效率增加了20.2%,压降降低了60.5%。而且,帕累托优化结果的预测精度较高。A tube separator with punched holes is a demister with low flow resistance.In order to study the structure-performance relationship and design a high-efficiency and low-resistance separator,the single-factor and multi-factor effects of design variables(fin diameter,pitch,tube length and inlet flow rate) on separation efficiency and pressure drop were analyzed by computational fluid dynamics(CFD).Mathematical relations were established by response surface methodology(RSM) and second-generation non-dominated sorting genetic algorithm(NSGA-II) was used.A multi-objective optimization design was performed,and a series of Pareto optimized point sets with higher efficiency and lower flow resistance separator structure were obtained.The results show that in order to maximize separation efficiency,it is necessary to increase tube length,screw pitch,and inlet velocity.The flow resistance can be reduced by increasing the pitch.Compared with the initial design,the defogging efficiency of the demister increases by 20.2% and the pressure drop decreases by 60.5% after optimization.Moreover,the Pareto optimization results have high prediction accuracy.

关 键 词：管式除雾器 遗传算法 响应面法 多目标优化 数值模拟 

分 类 号：TQ021.1[化学工程]