Inertial Classification of Nanoparticles with Fibrous Filters

Abstract

This paper proposes a new concept for the utilization of fibrous filters for the classification of nanoparticles. The present work confirmed that the filter employed in the present work can separate particles smaller than 100 nm. The main conclusions obtained in the present work are as follows: (1) Inertial filter utilizes inertial impaction of particles and the classification performance can be predicted by the log penetration law and the single fiber collection efficiency, (2) 50% cutoff size is reduced by increasing the filtration velocity and is predicted by Stk50 = 1, (3) Inertial filter developed in the present work has a low pressure drop compared to a low pressure impactor and therefore the volatilization of volatile organic compounds is suppressed during the atmospheric aerosol sampling.