Experimental study and correlation analysis of breakup characteristics of liquid nitrogen jets

IF 2.8 2区 工程技术 Q2 ENGINEERING, MECHANICAL
Yanling Yang , Kang Cen , Mengxin Li , Chunlan Zhao , Yixi Wang , Wei Lie , Yuan Wei , Qiang Yuan
{"title":"Experimental study and correlation analysis of breakup characteristics of liquid nitrogen jets","authors":"Yanling Yang ,&nbsp;Kang Cen ,&nbsp;Mengxin Li ,&nbsp;Chunlan Zhao ,&nbsp;Yixi Wang ,&nbsp;Wei Lie ,&nbsp;Yuan Wei ,&nbsp;Qiang Yuan","doi":"10.1016/j.expthermflusci.2025.111443","DOIUrl":null,"url":null,"abstract":"<div><div>Liquid nitrogen (LN<sub>2</sub>) has garnered increasing attention due to its potential applications in various fields. When the LN<sub>2</sub> jet is accidentally released into an environment with a lower saturation pressure, it may lead to significant hazards due to the formation of a two-phase flow. In this study, a cryogenic experimental system with adjustable temperature and pressure was developed to investigate the two-phase flow behavior of LN<sub>2</sub> jets. The influencing factors affecting jet characteristics are quantified by Buckingham theorem. Through multiple regression analysis, the key feature parameters affecting the jet morphological transition are identified, and the transition criteria of different breakup regimes were developed. The results show that the transition criteria can accurately predict the morphological transitions from mechanical breakup to partially flashing and partially flashing to fully flashing, and the maximum error between the predicted results and the experimental data are within ±5 % and ±15 %, respectively. The key feature parameters affecting the discharge coefficient are identified by decision tree model, and the correlation of discharge coefficient in different breakup regimes is proposed by multivariate linear fitting method. The results show that discharge coefficient correlation has good predictive performance, and its maximum errors are within ±9.5 %, ± 5 % and ±15 %, respectively.</div></div>","PeriodicalId":12294,"journal":{"name":"Experimental Thermal and Fluid Science","volume":"164 ","pages":"Article 111443"},"PeriodicalIF":2.8000,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Experimental Thermal and Fluid Science","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0894177725000378","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, MECHANICAL","Score":null,"Total":0}
引用次数: 0

Abstract

Liquid nitrogen (LN2) has garnered increasing attention due to its potential applications in various fields. When the LN2 jet is accidentally released into an environment with a lower saturation pressure, it may lead to significant hazards due to the formation of a two-phase flow. In this study, a cryogenic experimental system with adjustable temperature and pressure was developed to investigate the two-phase flow behavior of LN2 jets. The influencing factors affecting jet characteristics are quantified by Buckingham theorem. Through multiple regression analysis, the key feature parameters affecting the jet morphological transition are identified, and the transition criteria of different breakup regimes were developed. The results show that the transition criteria can accurately predict the morphological transitions from mechanical breakup to partially flashing and partially flashing to fully flashing, and the maximum error between the predicted results and the experimental data are within ±5 % and ±15 %, respectively. The key feature parameters affecting the discharge coefficient are identified by decision tree model, and the correlation of discharge coefficient in different breakup regimes is proposed by multivariate linear fitting method. The results show that discharge coefficient correlation has good predictive performance, and its maximum errors are within ±9.5 %, ± 5 % and ±15 %, respectively.
求助全文
约1分钟内获得全文 求助全文
来源期刊
Experimental Thermal and Fluid Science
Experimental Thermal and Fluid Science 工程技术-工程:机械
CiteScore
6.70
自引率
3.10%
发文量
159
审稿时长
34 days
期刊介绍: Experimental Thermal and Fluid Science provides a forum for research emphasizing experimental work that enhances fundamental understanding of heat transfer, thermodynamics, and fluid mechanics. In addition to the principal areas of research, the journal covers research results in related fields, including combined heat and mass transfer, flows with phase transition, micro- and nano-scale systems, multiphase flow, combustion, radiative transfer, porous media, cryogenics, turbulence, and novel experimental techniques.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信