Atomization performance optimization of series dual-chamber self-excited oscillation nozzle using the entropy weight method combined with gray theory

被引：1

作者：

Nie, Songlin ^{[1
]}

Song, Yuwei ^{[1
]}

Ji, Hui ^{[1
]}

Qin, Tingting ^{[1
]}

Yin, Fanglong ^{[1
]}

Ma, Zhonghai ^{[1
]}

机构：

[1] Beijing Univ Technol, Coll Mech & Energy Engn, Beijing 100124, Peoples R China

来源：

PHYSICS OF FLUIDS | 2024年 / 36卷 / 09期

基金：

中国国家自然科学基金; 北京市自然科学基金;

关键词：

GAS-LIQUID RATIO; HYDRODYNAMIC CAVITATION; MULTIOBJECTIVE OPTIMIZATION; SPRAY CHARACTERISTICS; FLOW; EMISSION; REACTOR; OIL; JET;

D O I：

10.1063/5.0224761

中图分类号：

O3 [力学];

学科分类号：

08 ; 0801 ;

摘要：

In this study, a series dual-chamber self-excited oscillation nozzle (SDSON) for atomization was developed for photodecomposition of oily wastewater. In order to address the computational complexity associated with optimizing this nozzle, a surrogate model that integrates computational fluid dynamics simulation is proposed. By employing a multi-objective optimization algorithm that combines Genetic Algorithm and Non-dominated Sorting Genetic Algorithm II, significant improvements in atomization performance have been achieved. The influencing factors of atomization and their interactions on the nozzle's atomization performance have been analyzed. The entropy weight method was employed in conjunction with gray theory to rank the optimal solutions based on weighted correlation evaluation, resulting in the determination of the most favorable design solutions. The optimized design exhibited significant enhancements in turbulence kinetic energy and gas volume fraction at the nozzle outlet. Atomization experiments confirmed that the optimized SDSON generated smaller and more uniformly sized droplets under identical inlet pressure conditions, thereby greatly improving atomization performance.

引用

页数：22