Experimental and Computational Investigation of Intra- and Interlayer Space for Enhanced Depth Filtration and Reduced Pressure Drop

The buildup of pressure drop with mass loading of particles aggravates the breathing resistance and energy consumption of filters. This study investigated the role of intra- and interlayer space of filter media on the pressure drop development with continued particle loading. Five basic morphologies, including microfibers, nanofibers, microbeads-on-strings, and a mix of those morphologies were fabricated via electrospinning. Then the variations of layered constructions were made, to include a total 14 different filter structures. For a single layer filter media, the pore size rather than the percent porosity had a major impact on the pressure drop. For dual layers, the space between the layers and the placement order of webs were important factors affecting the pressure drop and depth loading of particles. Computational modeling was used to interpret the role of the interlayer space on the pressure drop, by monitoring the air flow and particle movement within the filter constructions, where the computational prediction corresponded to the tendency of the experimental findings. The novelty of this study lies in the combined approach of the experimental and computational work to understand the particle capture phenomenon during the mass loading.