Predicting the transient or steady state wetting saturation in an actual coalescence filtration experiment is one of the biggest challenges in coalescence filtration. We used a quasi-static Pore Morphology method (PMM) to predict a steady-state saturation in a coalescing filter.
A novel simulation framework was developed in which the 3D saturation field obtained from the Pore Morphology method (PMM) was used in ANSYS (enhanced with a series of inhouse subroutines) to predict the pressure drop and collection efficiency of a coalescing filter at different saturation levels.
Despite decades of research, it has still been difficult to develop extensive mathematical framework for coalescence filtration similar to solid particle filtration. This is mainly due to the inherent coupling between aerodynamic field inside the filter and the capillarity of the fibers in a coalescence filtration experiment. In this work, we proposed a novel method to characterize wetting saturation of a coalescing filter using centrifugal force.
A novel computational model is developed in this work to study the effect of droplet deposition on the aerosol capture efficiency of bipolarly charged fibers. The deposition of droplet substantially degraded the filtration performance of charged fibers.
