{"title":"Dynamics of jet breakup and the resultant drop size distribution: effect of nozzle size and impingement velocity","authors":"Pavan Kumar Kirar, Nikhil Kumar, Kirti Chandra Sahu","doi":"arxiv-2409.07056","DOIUrl":null,"url":null,"abstract":"We conduct systematic experiments to investigate the dynamics of liquid jet\nbreakup and the resulting droplet size distribution, emphasizing the influence\nof liquid jet velocity and needle exit diameter. We precisely control jet\nformation using a pressurized water tank equipped with needles of different\nsizes. Our study quantifies breakup dynamics through dimensionless parameters\nsuch as the liquid Weber number and the needle exit area ratio. Our key\nfindings identify three distinct breakup regimes, such as dripping, Rayleigh,\nand wind-induced, each dictated by the interplay of surface tension and\naerodynamic forces for various combinations of liquid jet velocity and needle\nexit diameter. We construct a regime map to delineate different breakup\nbehaviours in the We - Ar space. It is observed that lower jet velocities\nproduce narrow probability density functions for jet breakup length due to\nstable jets, whereas higher velocities result in broader distributions.\nIncreasing jet velocity extends breakup lengths for moderate flow rates due to\nenhanced stability in the Rayleigh regime, but higher velocities induce\ninstability, leading to shorter breakup lengths. Additionally, we analyze the\neffects of the needle exit area ratio and liquid Weber number on droplet size\ndistribution, highlighting the transition from mono-modal to bi-modal\ndistribution under varying conditions.","PeriodicalId":501125,"journal":{"name":"arXiv - PHYS - Fluid Dynamics","volume":"59 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - Fluid Dynamics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.07056","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
We conduct systematic experiments to investigate the dynamics of liquid jet
breakup and the resulting droplet size distribution, emphasizing the influence
of liquid jet velocity and needle exit diameter. We precisely control jet
formation using a pressurized water tank equipped with needles of different
sizes. Our study quantifies breakup dynamics through dimensionless parameters
such as the liquid Weber number and the needle exit area ratio. Our key
findings identify three distinct breakup regimes, such as dripping, Rayleigh,
and wind-induced, each dictated by the interplay of surface tension and
aerodynamic forces for various combinations of liquid jet velocity and needle
exit diameter. We construct a regime map to delineate different breakup
behaviours in the We - Ar space. It is observed that lower jet velocities
produce narrow probability density functions for jet breakup length due to
stable jets, whereas higher velocities result in broader distributions.
Increasing jet velocity extends breakup lengths for moderate flow rates due to
enhanced stability in the Rayleigh regime, but higher velocities induce
instability, leading to shorter breakup lengths. Additionally, we analyze the
effects of the needle exit area ratio and liquid Weber number on droplet size
distribution, highlighting the transition from mono-modal to bi-modal
distribution under varying conditions.
我们进行了系统的实验,研究液体射流破裂的动力学以及由此产生的液滴粒度分布,强调液体射流速度和针出口直径的影响。我们使用一个装有不同大小针头的加压水箱来精确控制射流的形成。我们的研究通过液体韦伯数和针出口面积比等无量纲参数来量化破裂动力学。我们的主要发现确定了三种不同的破裂状态,如滴落、瑞利和风引起的破裂,每种状态都是由液体喷射速度和针出口直径的不同组合下表面张力和空气动力的相互作用决定的。我们构建了一个体系图,以划分 We - Ar 空间中的不同断裂行为。我们观察到,较低的射流速度会因稳定的射流而产生较窄的射流破裂长度概率密度函数,而较高的射流速度则会产生较宽的分布。在中等流速下,射流速度的增加会延长破裂长度,这是由于瑞利机制的稳定性增强所致,但较高的射流速度会导致不稳定性,从而缩短破裂长度。此外,我们还分析了针出口面积比和液体韦伯数对液滴大小分布的影响,强调了在不同条件下从单模式到双模式分布的过渡。