The interaction between the free surface dynamics and flow is of fundamental importance in studies pertaining sloshing with the aim of designing effective damping methods in e.g. rockets powered by liquid fuel. In evaluating the velocity field of the liquid, Particle Image Velocimetry (PIV) is the most suitable candidate metrology as it is able to provide high resolution and accurate velocimetry data. However, while PIV is a tested method for stationary interfaces, dynamic surfaces remain problematic for the inherent image processing. As the free surface changes position between two consecutive images, standard central difference PIV discards valuable information due to disappearing particles when the interrogation window is fixed in the physical reference. This reduction in effective image density also lowers the correlation robustness, which is especially detrimental in understanding the velocity exchange mechanisms between surface and bulk velocity. Moreover, strong velocity gradients are introduced in the flow as particle images near the interface move in harmony with the free surface while this motion is dampened out with increasing distance from the interface. Besides difficulties associated with the experimental setup (such as e.g. reflections, interface detection, etc.), the problems pertaining image processing thus make sloshing liquids challenging PIV applications. In this paper a novel image analysis approach is presented aimed at improving the overall accuracy, reliability and resolution of PIV velocity measurements for the study of sloshing phenomena.
|Publication status||Published - 2017|
|Event||12th International Symposium on Particle Image Velocimetry - Busan, Busan, Korea, Democratic People's Republic of|
Duration: 19 Jun 2017 → 21 Jun 2017
|Conference||12th International Symposium on Particle Image Velocimetry|
|Country||Korea, Democratic People's Republic of|
|Period||19/06/17 → 21/06/17|
- image mapping