4.2 Article

Underwater LED-based Lagrangian particle tracking velocimetry

期刊

JOURNAL OF VISUALIZATION
卷 25, 期 5, 页码 1035-1046

出版社

SPRINGER
DOI: 10.1007/s12650-022-00832-z

关键词

Lagrangian particle tracking; Shake-The-Box; Flow diagnostics; LED illumination; Tidal turbine hydrodynamics; Tip vortex; Rotor wake

资金

  1. UK Engineering and Physical Sciences Research Council (EPSRC) [EP/V009443/1]
  2. UK Engineering and Physical Sciences Research Council [EP/I02932X/1]
  3. [EP/M014738/1]

向作者/读者索取更多资源

A new white-light volumetric flow measurement technique is introduced for largescale facilities. This technique enables accurate measurement of large volumes without the need for a class-4 laser. Experimental results show that the LED-based Lagrangian particle tracking velocimetry can effectively measure the tip vortex formation and near wake of a tidal turbine in a water tank.
A new white-light volumetric flow measurement technique is presented that can be used in largescale facilities. The technique enables large volumes to be measured with high temporal and spatial resolution and without the need for a class-4 laser. This LED-based Lagrangian particle tracking velocimetry is demonstrated by measuring the tip vortex formation and the near wake of a 1.2 m diameter tidal turbine in a 25 m diameter, 2 m deep tank. Seven streamwise-distributed volumes of interest are combined, each 334 mm long, 244 mm wide and 140 mm deep, reaching up to one diameter downstream of the turbine. The system does not require re-calibration when moved. By assuming a periodic flow field, a phase-averaged flow field was reconstructed with a temporal resolution of 3.9 ms and a spatial resolution of 5.4 mm. The large volume and high time and spatial resolution could enable key research questions to be addressed on high-Reynolds-number flows and could provide valuable benchmark data for numerical model development and code validation.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.2
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据