Granular Bed Filter Model for Porous Filter Media

JAE-HYUN PARK, Myong-Hwa Lee, Kangwon National University, University of Miami

     Abstract Number: 238
     Working Group: Control and Mitigation Technology

Abstract
Air filters play a crucial role in separating and capturing airborne particles. There are two types of filter media such as a fibrous filter, which fibers are intricately intertwined, and porous filters, featuring randomly distributed pores. The selection of a desirable filter suitable to its application is important. The filtration performance of a fibrous filter can be predicted by a Davies’ equation (pressure drop) and a log-penetration equation (collection efficiency). However, there is no reliable method to predict the filtration performance of a porous filter.

A potential method to predict the filtration performance of a porous filter was suggested by using a granular bed theory in this study. Porous filter was regarded as a granular bed filter composed of packing materials. The shape of a packing material was determined by a fiber structure among open cells. Pressure drop of a porous filter could be calculated by Ergun equation and the collection efficiency could be predicted by a log-penetration equation using a single sphere theory. The results revealed that those prediction equations, which are Ergun equation and log-penetration equation considering a shaper factor and variance of the spheres, were applicable to porous filter media.

Acknowledgment
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIT) (No. RS-2023-00249948).