Punyaponchai A.Priyadumkol J.Loksupapaiboon K.Thongkom S.Suvanjumrat C.Mahidol University2024-02-272024-02-272024-01-01International Journal of GEOMATE Vol.26 No.113 (2024) , 82-8921862982https://repository.li.mahidol.ac.th/handle/20.500.14594/97323Air pollution poses a serious challenge for our capital city, and one crucial line of defense is effective dust control. Employing computational fluid dynamics (CFD), we designed a dust collector aimed at efficiently tackling particles smaller than 10 micrometers, a critical factor in combating air pollution. OpenFOAM, an open-source CFD software, was instrumental in this design process. Notably, our dust collector is equipped with bag filters capable of filtering PM 2.5. The application of the k-ε turbulence model governed the flow through the baghouse in our CFD model, while the bag filter was treated as a porous medium following Darcy’s law. To validate our approach, we conducted an airflow experiment through a bag filter installed in the baghouse, determining the coefficient of Darcy’s equation and benchmarking against CFD results. Impressively, our baghouse model exhibited an average error of less than 6.46%. This CFD-guided modeling not only minimizes trial and error in design but also provides manufacturers with insights to optimize and innovate baghouses in the future.Earth and Planetary SciencesEnvironmental ScienceAgricultural and Biological SciencesEngineeringArticleSCOPUS10.21660/2024.113.g132882-s2.0-85185334893