A measurement-integrated solution for particle image velocimetry and volume fraction measurements in a fluidized bed

In this study, a novel VOF computation method and a mass conservation-based least square method are proposed in order to decrease errors in the measurement. The methods performance was tested in various simulations, and experimentally in a case of a small-scale fluidized bed. The method was found to decrease error caused by noise and outliers, while the required time was of the same order as the time used in PIV computations. Our experiments on a small-scale cold model bed suggest that the proposed methods have better accuracy than the logarithmic model often used in the literature.