气液同轴离心式喷嘴雾化性能及优化设计研究

doi:10.3901/JME.2022.01.201

机械工程学报 ›› 2022, Vol. 58 ›› Issue (1): 201-211.doi: 10.3901/JME.2022.01.201

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气液同轴离心式喷嘴雾化性能及优化设计研究

游云霞¹, 侯力², 易宗礼³, 张海燕², 盛鑫²

1. 四川大学空天科学与工程学院成都 610065;
2. 四川大学机械工程学院成都 610065;
3. 清华大学机械工程学院北京 100084

收稿日期:2021-08-11 修回日期:2021-12-19 出版日期:2022-01-05 发布日期:2022-03-19
通讯作者: 侯力(通信作者),男,1956年出生,博士,教授,博士研究生导师。主要研究方向为机械设计及理论、数字化设计与制造等.E-mail:houlaoshishiyanshi@163.com
作者简介:游云霞,女,1989年出生,博士研究生。主要研究方向为航空喷嘴的数字化设计与制造、智能优化算法。E-mail:study_yyx@163.com
基金资助:
四川省科技厅重点研发资助项目（2018GZ0117）。

Study on Spray Performance and Optimization Design of Gas-liquid Coaxial Swirl Nozzle

YOU Yunxia¹, HOU Li², YI Zongli³, ZHANG Haiyan², SHENG Xin²

1. School of Aeronautics and Astronautics, Sichuan University, Chengdu 610065;
2. School of Mechanical Engineering, Sichuan University, Chengdu 610065;
3. School of Mechanical Engineering, Tsinghua University, Beijing 100084

Received:2021-08-11 Revised:2021-12-19 Online:2022-01-05 Published:2022-03-19

摘要/Abstract

摘要： 以气液同轴离心式喷嘴为研究对象，采用了一种优化后的代理模型和多目标优化算法对该喷嘴关键几何结构参数进行优化设计，得到了一个在低压状态下雾化性能更佳的新结构喷嘴。采用计算流体力学（Computational fluid dynamics，CFD）对喷嘴进行流场分析，并用试验验证了CFD数值模拟的准确性。基于改进鲸鱼算法（Levy-WOA）优化的Kriging模型建立了雾化锥角、液膜厚度、质量流率的代理模型，研究了4个关键几何参数对雾化性能的影响规律。基于代理模型采用MOGWO算法进行多目标求解，得到了一个几何参数最优组合的喷嘴。研究结果表明：Levy-WOA优化的Kriging代理模型具有更高的拟合精度和更低的预测误差，并能有效的预测4个关键几何参数对雾化性能的影响；优化设计的新喷嘴较原始喷嘴，雾化锥角增大了4.829 2%，液膜厚度减小了39.696 0%，质量流率提高了13.084 3%；试验验证新喷嘴较原始喷嘴雾化锥角提高了4%，为其他喷嘴的设计提供了一种新的可行性方法。

关键词: 气液同轴离心式喷嘴, 雾化性能, CFD, 代理模型, 多目标优化

Abstract: Taking the gas-liquid coaxial swirl nozzle as the research object, an optimized surrogate model and a multi-objective optimization algorithm are used to optimize the crucial geometric parameters of the nozzle. And a new nozzle with better spray performance under low pressure is obtained. The computational fluid dynamics (CFD) is used to analyze the flow field of the nozzle, and the accuracy of CFD numerical simulation was verified by experiments. Based on the Kriging model optimized by improved whale algorithm (levy WOA), the surrogate models of spray angle, film thickness and mass flow rate are established, which could analyze the influence of four crucial geometric parameters on spray performance. Based on the surrogate model, a nozzle with the optimal combination of geometric parameters is obtained by using MOGWO algorithm for multi-objective solution. The research indicates that the Kriging surrogate model optimized by levy WOA has higher fitting accuracy and lower prediction error, and it can effectively predict the influence of four crucial geometric parameters on spray performance. Compared with the original nozzle, the spray angle of the new designed nozzle increased by 4.829 2%, the liquid film thickness decreased by 39.696 0%, and the mass flow rate increased by 13.084 3%. The experimental results show that the spray angle of the new nozzle is 4% higher than that of the original nozzle, which provides a new feasible method for the design of other nozzles.

Key words: gas-liquid coaxial swirl nozzle, spray performance, CFD, surrogate models, multi-objective optimization

中图分类号:

TH122
TP18

游云霞, 侯力, 易宗礼, 张海燕, 盛鑫. 气液同轴离心式喷嘴雾化性能及优化设计研究[J]. 机械工程学报, 2022, 58(1): 201-211.

YOU Yunxia, HOU Li, YI Zongli, ZHANG Haiyan, SHENG Xin. Study on Spray Performance and Optimization Design of Gas-liquid Coaxial Swirl Nozzle[J]. Journal of Mechanical Engineering, 2022, 58(1): 201-211.

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气液同轴离心式喷嘴雾化性能及优化设计研究

Study on Spray Performance and Optimization Design of Gas-liquid Coaxial Swirl Nozzle

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