Cross-validation of 3D particle tracking velocimetry for the study of granular flows down rotating chutes

摘要: Three-dimensional particle tracking velocimetry (3D-PTV) is a promising technique to study the behavior of granular flows. The aim this paper cross-validate 3D-PTV against independent or more established techniques, such as image (PIV), electronic ultrasonic sensor measurements for bed height, and discrete element model (DEM), complicating circumstance in which particles are flowing down rotating chute. was used gain access Lagrangian trajectory data surface flows, from both velocity height chute were derived. method based on imaging colored tracer that introduced material, viewed three directions. cameras collected consecutive frames known time interval apart PTV algorithm locating determine trajectories velocities. We found results good agreement with PIV regard streamwise spanwise obtained also be an bed-height sensor. experimental findings non-rotating case tune friction coefficient our DEM simulations. simulation validated by between simulations at all rotation rates studied.