Predicting particle capture in fibrous filters by a unified trajectory mapping approach
Date of Original Version
A unique trajectory mapping approach to predicting particle capture in fibrous filters is presented in which the effects of Brownian diffusion are accounted for using an effective particle radius concept. This effective radius is defined in such a way that the apparent size of the particle being tracked grows in time according to the probability of not finding its centre inside an exclusion sphere. This approach is uniformly applicable to all particle sizes with the diffusion influence diminishing in importance as the physical particle size increases. This methodology has been implemented in a user friendly computer code, FILTER, which has been written to run on micro computers. It uses the Kuwabara flow field to simulate low Reynolds number flow through an array of parallel cylinders. Predictions from this code are compared to single fibre efficiency data from the literature. © 1990.
Publication Title, e.g., Journal
Filtration and Separation
Lessmann, R. C., M. Faghri, A. Khan, and M. Zia. "Predicting particle capture in fibrous filters by a unified trajectory mapping approach." Filtration and Separation 27, 4 (1990): 289-291. doi: 10.1016/0015-1882(90)80481-Y.