Experimental Study on the Air Permeability Characteristics of Nonwoven Media in Baghouse Filters

Journal article

Authors/Editors

JUTHANEE PHROMJAN

Strategic Research Themes

Innovative Materials, Manufacturing and Construction (Strategic Research Themes)

Publication Details

Author list: Loksupapaiboon K.; Punyaponchai A.; Phromjan J.; Kamma P.; Suvanjumrat C.

Publication year: 2025

Journal: International Journal of GEOMATE (2186-2982)

Volume number: 28

Issue number: 127

Start page: 96

End page: 103

Number of pages: 8

ISSN: 2186-2982

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-105003153607&doi=10.21660%2f2025.127.G14132&partnerID=40&md5=bbeac0963e9d5a9cfe500f4a882c5035

Languages: English-Great Britain (EN-GB)

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Abstract

This study aimed to design and evaluate a dust collector capable of capturing particles smaller than 10 microns, addressing the critical challenge of reducing air pollution caused by industrial exhaust gases. Dust particles emitted from various industrial plants significantly contribute to air pollution and pose severe health risks. Filtration using nonwoven filter media has emerged as an effective technology for environmental protection. A series of experiments was conducted to evaluate the efficiency of nonwoven filters under varying operating conditions. The tests utilized filter materials with different air permeability properties in a pilot-scale dust collector. Measurements of filtration pressure drop and gas velocity revealed that the pressure drop increased with higher gas velocity but decreased with increased filter media permeability. The pressure drop was characterized by a second-order polynomial equation of filtration velocity, further linked to the Darcy-Forchheimer equation for porous media. The results demonstrated two distinct patterns of pressure drop increase influenced by air permeability. Filters with lower air permeability exhibited comparable pressure drop trends. The experimental data showed strong agreement with the modeled pressure drop values, achieving a coefficient of determination (R2) exceeding 0.989. This high level of accuracy underscores the effectiveness of the model for designing air filtration systems. © (2025), Int. J. of GEOMATE All rights reserved, including making copies, unless permission is obtained from the copyright proprietors.

Keywords

Air filters