Visualization of the Evolution of a Single Vapor Bubble During Boiling of a Subcooled Liquid: Experience in Automating the Processing of High-Speed Video Recording Results

Q4 Computer Science
N.V. Vasil’ev, S.N. Vavilov, Yu.A. Zeigarnik, N.A. Azarov
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引用次数: 0

Abstract

Subcooled liquid boiling makes it possible to remove extremely high heat flux densities (tens, and under certain conditions even hundreds of MW/m2). This method is used for cooling rocket nozzles, in metallurgy, in thermonuclear power and special installations (cooling of beam targets), pulsed magnetohydrodynamic (MHD) installations. However, the calculations of this process are based on purely empirical correlations. The lack of experimental data on the characteristics of bubbles (size evolution, life time, formation frequency) hinders the development of mathematical models and calculation methods. The paper presents a program developed in the Python 3.10 environment for automated processing of high-speed video recordings of the evolution of a single bubble during boiling of a subcooled liquid. Comparison of frame processing, carried out «manually» and with the help of the developed program, showed a fairly high agreement between the results. The developed method makes it possible to significantly reduce the time spent on processing the experimental material and to include a significantly larger array of experimental data in the analysis.
过冷液体沸腾过程中单个蒸汽泡演变的可视化:高速录像结果自动化处理的经验
过冷液体沸腾可以去除极高的热流密度(数十,在某些条件下甚至数百MW/m2)。该方法用于冷却火箭喷嘴,冶金,热核动力和特殊装置(冷却束靶),脉冲磁流体动力(MHD)装置。然而,这一过程的计算是基于纯粹的经验相关性。关于气泡特性(尺寸演化、寿命、形成频率)的实验数据的缺乏阻碍了数学模型和计算方法的发展。本文介绍了一个在Python 3.10环境下开发的程序,用于自动处理在过冷液体沸腾过程中单个气泡演变的高速视频记录。在“手动”和开发的程序的帮助下进行的帧处理的比较,显示了结果之间相当高的一致性。所开发的方法可以显著减少处理实验材料所花费的时间,并在分析中包含显著较大的实验数据阵列。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Scientific Visualization
Scientific Visualization Computer Science-Computer Vision and Pattern Recognition
CiteScore
1.30
自引率
0.00%
发文量
20
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