The micro scale study of drop motion on fibers is significant to many industrial applications such as drop coalescence and drainage in fibrous filter media. Removal of the liquid droplets from the exhaust streams of many chemical, automotive, aeronautics, textile and health and safety industries is of vital importance. These droplets can lead to clogging of the fibrous filters during the cleaning operation. It is significant to design a self cleaning filter, whereby the liquid droplets collect on the filter and drain down onto some collecting device. This reduces the operational and cleaning cost of the filter. The underlying need for all these applications is estimation of the velocity of a drop along the fiber axis. This can be done by defining and determining the drag coefficient correlation.;In this work, the drag coefficient is correlated to Reynolds and capillary numbers from experiments and models with the axial and transverse air flow conditions. The experiments are conducted for different types of fibers and using acoustic fields. Correlations to predict the probability of the motion of the drops on fibers are also developed considering the effect of acoustic fields.;These correlations are unique approach to determine the velocities of the liquid drops on fibers for different fiber orientations. Very little has been published on the development of such correlations to predict drop migration on fibers which makes this work unique.
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