Challenges and improvements in applying a particle image velocimetry (PIV) approach to granular flows

Luca Sarno, Yih Chin Tai, Armando Carravetta, Riccardo Martino, Maria Nicolina Papa, Chih Yu Kuo

研究成果: Conference article同行評審

7 引文 斯高帕斯(Scopus)


The particle image velocimetry (PIV) is a well-established non-invasive optical technique for measuring the velocity field in fluids. Recently, the PIV approach has been extended to granular flows, where the medium under investigation is composed of a discrete number of grains that are typically non-transparent and of super-millimetric size. Granular PIV (g-PIV) still represents a non-standard application, as some accuracy concerns arise. In particular, since granular flows can be highly sheared, the choice of appropriate interrogation windows for the PIV analysis is not trivial. As well, owing to the spatially-averaged nature of the PIV approach, the estimation of second-order statistics remains a very challenging task. Here, we report a laboratory investigation on dry granular flows composed of glass spheres in a rotating drum. The velocity measurements at the sidewall are obtained by using a window deformation multi-pass PIV approach, where the open-source code PIVlab has been specifically used. Different combinations of the number of PIV passes and of interrogation windows are investigated. A slightly modified version of PIVlab allowed us to carry out g-PIV calculations with an arbitrary number of passes (i.e. greater than 4). Comparisons among different analyses helped us to identify reliable settings for g-PIV applications.

期刊Journal of Physics: Conference Series
出版狀態Published - 2019 六月 5
事件26th A.I.VE.LA. Annual Meeting - Milan, Italy
持續時間: 2018 十一月 292018 十一月 30

All Science Journal Classification (ASJC) codes

  • 物理與天文學 (全部)


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