Nicholas A. Lucido, Parth D. Khokhani, Elijah D. Andrews, Harish Ganesh
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引用次数: 0
Abstract
Particle-laden liquid flows, such as sand-water flows encountered in turbidity currents, are difficult to measure due to optical-opacity. Radiation-based methods, such as X-ray densitometry, are a useful tool to measure the local volume fraction regardless of opacity; however, applying the method to flows with comparable density of phases is challenging due to poor signal-to-noise ratios (SNR). In this study, time-resolved X-ray densitometry using a medical-style X-ray source and a hybrid photon-counting (HPC) detector is applied to perform line-of-sight-integrated volume fraction measurements in a turbid flow of simulated sand (glass particles) and water. Measurements were performed over a range of simulated particle volume fractions using known thicknesses of glass matching the composition of the particles. As each pixel counts incident photons in a given exposure time, spatial and temporal summation is indistinguishable from collecting data with larger pixels or longer exposures. Leveraging this, an a posteriori approach to significantly improve measurement SNR is presented. Using this method with expected values between 0 and 0.113, the maximum measured volume fraction error is improved from \(\pm 0.015\) at 18.1 pixel/mm and 500 frame/s to \(\pm 0.005\) at 2.6 pixel/mm and 100 frame/s. The methodology is demonstrated on a lock-exchange turbidity current in a laboratory setting, showing the viability of photon-counting densitometry to the study of sand-water flows. This approach can enable detailed study of the internal dynamics particle-laden liquid flows, thus providing crucial data.
期刊介绍:
Experiments in Fluids examines the advancement, extension, and improvement of new techniques of flow measurement. The journal also publishes contributions that employ existing experimental techniques to gain an understanding of the underlying flow physics in the areas of turbulence, aerodynamics, hydrodynamics, convective heat transfer, combustion, turbomachinery, multi-phase flows, and chemical, biological and geological flows. In addition, readers will find papers that report on investigations combining experimental and analytical/numerical approaches.