Numerical modeling of nanofibrous filter media and performance characteristics. (23rd November 2022)

• Record Type: Journal Article
• Authors: Ramakrishnan, Surya; Johnson, Jipson; Muzwar, Mohammed; Chetty, Raghuram; Arul Prakash, K.
• Is Part Of: Chemical engineering science. Volume 262(2022)
• Publication Date: 2022-11-23
• Subjects: Nano/Microfibrous filter media -- Nanolayer coating -- CFD -- Pressure drop -- Collection efficiency; Chemical engineering -- Periodicals; Génie chimique -- Périodiques; Chemical engineering; Periodicals; Electronic journals; 660
• DOI: 10.1016/j.ces.2022.118019
• Languages: English
• ISSNs: 0009-2509

Abstract

Highlights: Electrospun nanofibrous filter media modeled in a 2D random approach. The fiber size distribution of the nanolayer follows a normal fit. A generic equation is proposed to identify the properties of the nanolayer. The model reasonably predicts the filtration performance. Abstract: Numerical methodology utilizing a two-dimensional random approach to model fluid flow and particle filtration through a nanofibrous filter media is presented. An algorithm for creating the representative micro-structure of filter media is developed where the statistical parameters of the filter media are given as input. The nanolayer properties are identified based on the proposition that pressure drop across nanofibrous filter media can be the sum of pressure drop across the nanolayer, and base media, which helps simplify the modeling. The simulations were performed in two approaches. In the first one, nanolayer and base media simulations are carried out separately, and in the second approach, simulation was conducted as a single composite. Simulation results infer that it is possible to predict the performance of nanofibrous filter media based on the pressure drop and collection efficiency results of the two layers, which agrees well with the experimental data.