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Uncertainty analysis of PIV measurements in bubbly flows considering sampling and bubble effects with ray optics modeling
Nuclear Engineering and Design ( IF 1.7 ) Pub Date : 2020-08-01 , DOI: 10.1016/j.nucengdes.2020.110677
Yang Liu , Chengqi Wang , Yalan Qian , Xiaodong Sun , Yang Liu

Abstract In this paper, a modeling-based approach is developed to investigate the external sources of uncertainty in particle image velocimetry (PIV) measurements for two-phase bubbly flows. Primarily relied on ray optics modeling, this study focuses on the uncertainty in PIV measurements due to bubble-induced light distortion. In addition, the uncertainty due to sampling is also considered through synthetic PIV images generated from Monte Carlo sampling. Based on a PIV-planar laser induced florescence (PLIF) measurement system, three case studies are performed and discussed, considering respectively the sampling effect, bubble effect, and the combination of these two effects. These case studies confirm the validity of the ray optics modeling in obtaining accurate particle images through a benchmark test. Furthermore, it is also found that the bubble effect could significantly influence the particle images. On the other hand, the result of the case study with synthetic PIV images indicates that the bubble effect on particle images can be minimized by removing “outliers” in the obtained velocity vector field through a multi-pass post-processing procedure. However, the uncertainty of the velocity measurements will still increase.

中文翻译:

考虑采样和气泡效应的气泡流中 PIV 测量的不确定性分析和射线光学建模

摘要 在本文中,开发了一种基于建模的方法来研究两相气泡流粒子图像测速 (PIV) 测量中不确定性的外部来源。本研究主要依赖于射线光学建模,重点关注因气泡引起的光畸变导致的 PIV 测量的不确定性。此外,还通过蒙特卡罗采样生成的合成 PIV 图像考虑了由于采样引起的不确定性。基于 PIV 平面激光诱导荧光 (PLIF) 测量系统,进行并讨论了三个案例研究,分别考虑了采样效应、气泡效应以及这两种效应的组合。这些案例研究证实了射线光学建模在通过基准测试获得准确粒子图像方面的有效性。此外,还发现气泡效应可以显着影响粒子图像。另一方面,使用合成 PIV 图像的案例研究结果表明,通过多通道后处理程序去除获得的速度矢量场中的“异常值”,可以最大限度地减少气泡对粒子图像的影响。然而,速度测量的不确定性仍然会增加。
更新日期:2020-08-01
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