On the drag of freely falling non-spherical particles
Gholamhossein Bagheri, Costanza Bonadonna

TL;DR
This paper introduces a new model for predicting the drag coefficient of non-spherical particles in gases and liquids, based on experimental data and shape descriptors, achieving higher accuracy than existing models.
Contribution
The paper develops a novel correlation using easy-to-measure shape descriptors, improving drag coefficient predictions for non-spherical particles across various conditions.
Findings
New correlation reduces prediction error to ~10%.
Irregular particles tend to orient with maximum projection in dense liquids.
Surface roughness has less than 10% effect on drag coefficient.
Abstract
We present a new general model for the prediction of the drag coefficient of non-spherical solid particles of regular and irregular shapes falling in gas or liquid valid for sub-critical particle Reynolds numbers (i.e. ). Results are obtained from experimental measurements on 300 regular and irregular particles in the air and analytical solutions for ellipsoids. Depending on their size, irregular particles are accurately characterized with a 3D laser scanner or SEM micro-CT method. The experiments are carried out in settling columns with height of 0.45 to 3.60m and in a 4m-high vertical wind tunnel. In addition, additional experimental data points are also considered that are compiled from the literature for particles of regular shapes falling in liquids. New correlation is based on the particle Reynolds number and two new shape descriptors defined as a…
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