基于灰色关联分析法的双流体喷嘴喷雾特性研究

金属矿山 ›› 2025, Vol. 54 ›› Issue (9): 192-198.

基于灰色关联分析法的双流体喷嘴喷雾特性研究

李　刚^1,2,3,4 　姜伯洋¹ 　周　刚¹ 　郭立稳⁵ 　吴将有^2,3,4

1. 山东科技大学安全与环境工程学院,山东青岛 266590;2. 金属矿山开采安全与灾害防治全国重点实验室, 安徽马鞍山 243000;3. 金属矿产资源高效循环利用国家工程研究中心,安徽马鞍山 243000;4. 国家金属矿山固体废物处理与处置工程技术研究中心,安徽马鞍山 243000;5. 华北理工大学应急管理与安全工程学院,河北唐山 063210

出版日期:2025-09-15 发布日期:2025-10-10
作者简介:李　刚(1982—),男,正高级工程师,博士后,博士研究生导师。
基金资助:
国家自然科学基金面上项目(编号:52274215);“十四五”国家重点研发计划项目(编号:2022YFC2904104)。

Study on Spray Characteristics of Two-fluid Nozzles Based on Grey Relational Analysis

LI Gang ^1,2,3,4 　 JIANG Boyang ¹ 　 ZHOU Gang ¹ 　 GUO Liwen ⁵ 　 WU Jiangyou ^2,3,4

1. College of Safety and Environmental Engineering,Shandong University of Science and Technology,Qingdao 266590,China; 2. State Key Laboratory of Safety and Disaster Prevention for Metal Mines,Maanshan 243000,China;3. National Engineering Research Center of High Efficient Cyclic Utilization of Metallic Mineral Resources,Maanshan 243000,China;4. National Engineering Technology Research Center for Solid Waste Treatment and Disposal in Metal Mines,Maanshan 243000,China;5. School of Emergency Management and Safety Engineering,North China University of Science and Technology,Tangshan 063210,China

Online:2025-09-15 Published:2025-10-10

摘要/Abstract

摘要： 矿产资源高强度开发导致矿山粉尘问题愈发严重,严重威胁井下安全生产和工人职业健康。喷雾降尘技术可有效控制粉尘,喷雾特性的优劣与最终降尘效果相关性强,提升雾化效果可有效改善工作环境。双流体雾化喷嘴较单流体压力喷嘴优点明显,但喷嘴内、外流场与液态介质之间相互作用复杂,现场应用中间环节参数研究不够深入,导致喷雾特性控制针对性不强,为高效降尘带来困难。基于此,以双流体雾化喷嘴中的空气雾化喷嘴为研究对象,研究了供水压力、供气压力 2 个关键参数对射程、水流量、气流量和 D50 、D90 5 个喷雾特性参数的作用形式和影响规律,利用灰色关联分析法分析了不同参数对喷雾特性影响的重要度,确定了不同喷雾特性参数的敏感指标,并对喷雾过程进行了优化控制。研究结果表明:供水压力与射程、水流量和雾滴粒径呈正相关关系,供气压力与气流量呈正相关关系;射程和水流量、气流量、雾滴粒径分别对供水压力变化、供气压力变化、液气压力比变化敏感。研究结果可实现对喷雾特性的针对性调控,为加快建设矿山湿式控除尘体系提供理论依据。

关键词: 喷雾降尘　雾化效果　空气雾化喷嘴　灰色关联分析法　敏感指标

Abstract: The high-intensity exploitation of mineral resources has led to increasingly severe dust problems in mines,seriously threatening the safety of underground production and the occupational health of workers. Spray dust suppression technology can effectively control dust,and the quality of spray characteristics is strongly related to the final dust suppression effect. Improving the atomization effect can effectively improve the working environment. Compared with single-fluid pressure nozzles,dual-fluid atomizing nozzles have obvious advantages,but the interaction between the internal and external flow fields of the nozzle and the liquid medium is complex. The intermediate parameters in the field application have not been deeply studied,resulting in poor targeted control of spray characteristics and difficulties in achieving efficient dust suppression. Based on this,the air atomizing nozzle in the dual-fluid atomizing nozzle was taken as the research object. The influence forms and laws of two key parameters,water supply pressure and gas supply pressure,on five spray characteristic parameters,namely range,water flow rate, gas flow rate,D50 and D90 ,were studied. The grey relational analysis method was used to analyze the importance of different parameters on spray characteristics,and the sensitive indicators of different spray characteristic parameters were determined. The spray process was optimized and controlled. The study results show that water supply pressure is positively correlated with range,water flow rate and droplet size,and gas supply pressure is positively correlated with gas flow rate;range and water flow rate,gas flow rate,and droplet size are respectively sensitive to changes in water supply pressure,gas supply pressure,and liquid-gas pressure ratio. The research results can achieve targeted control of spray characteristics and provide a theoretical basis for accelerating the construction of a wet dust control system in mines.

Key words: spray dust reduction,atomization effect,air blast atomizer,grey relational analysis,sensitive index

中图分类号:

TD714

李　刚, 　姜伯洋　周　刚　郭立稳　吴将有, . 基于灰色关联分析法的双流体喷嘴喷雾特性研究 [J]. 金属矿山, 2025, 54(9): 192-198.

LI Gang , 　 JIANG Boyang 　 ZHOU Gang 　 GUO Liwen 　 WU Jiangyou , . Study on Spray Characteristics of Two-fluid Nozzles Based on Grey Relational Analysis[J]. Metal Mine, 2025, 54(9): 192-198.

扫码分享