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

IF 2.8 2区工程技术 Q2 ENGINEERING, MECHANICAL

Experimental Thermal and Fluid Science Pub Date : 2025-02-10 DOI:10.1016/j.expthermflusci.2025.111443

Yanling Yang , Kang Cen , Mengxin Li , Chunlan Zhao , Yixi Wang , Wei Lie , Yuan Wei , Qiang Yuan

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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.

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液氮射流破碎特性的实验研究及相关分析

液氮（LN2）因其在各个领域的潜在应用而受到越来越多的关注。当LN2射流意外释放到饱和压力较低的环境中时，可能会形成两相流，造成重大危害。为了研究LN2射流的两相流动特性，设计了一套温度和压力可调的低温实验系统。利用Buckingham定理对影响射流特性的因素进行了量化。通过多元回归分析，确定了影响射流形态转变的关键特征参数，并建立了不同破碎状态下射流形态转变准则。结果表明，所建立的过渡准则能较准确地预测从机械破碎到部分闪蒸、部分闪蒸到完全闪蒸的形态转变，预测结果与实验数据的最大误差分别在±5%和±15%以内。采用决策树模型识别影响流量系数的关键特征参数，采用多元线性拟合方法建立不同破碎工况下流量系数的相关性。结果表明，流量系数相关预测具有良好的预测性能，其最大误差分别在±9.5%、±5%和±15%以内。

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来源期刊

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.