A new logarithmic congestion model for vent sizing and reduced pressure prediction in baghouse dust collectors
Baghouse dust collectors are recurrent sources of industrial dust explosions, yet current vent-sizing standards (NFPA 68, EN 14491) consistently under-predict the reduced pressure that develops in these highly congested vessels. This study presents a new logarithmic congestion model that incorporates the effect of internal filter volume directly into the classical vent-sizing equation. The correlation is calibrated with a series of full-scale deflagration tests and verified against computational-fluid-dynamics simulations. Compared with the standard NFPA approach, the new model delivers markedly closer agreement with measured reduced pressures across a wide range of dust reactivities and congestion levels. It captures the characteristic behaviour whereby the installation of the first filter rows causes a sharp rise in pressure, followed by a gradual plateau as additional filters are added. By embedding turbulence amplification directly into vent-sizing curves, the model enables realistic prediction of blast loads on collector panels, vent frames, and anchorage systems without resorting to time-consuming CFD. The proposed correlation thus offers loss-prevention engineers a rapid, physically consistent tool for designing explosion-relief systems in baghouse collectors, helping close a long-standing safety gap in the process industries. • Current standards do not account for blast amplification due to obstacles. • Internal obstacles significantly increase blast pressure in vented enclosures. • Logarithmic congestion factor significantly improves vent sizing accuracy. • Mean residual is + 0.3 kPa, indicating no systematic underestimation. • Nomograms enable quick blast load design for vented dust collectors.
Authors
- Marco Zucca (ORCID: https://orcid.org/0000-0001-7334-2763)
- Marco Simoncelli (ORCID: https://orcid.org/0000-0002-0542-246X)
- Flavio Stochino (ORCID: https://orcid.org/0000-0002-0786-9070)
- F. Pinna (ORCID: https://orcid.org/0009-0009-1832-9350)
Institutions
- University of Cagliari (IT)
- Politecnico di Milano (IT)
Publication Details
- Journal
- Journal of Loss Prevention in the Process Industries
- Published
- 2025-10-28
- DOI
- https://doi.org/10.1016/j.jlp.2025.105829
- Primary Topic
- Granular flow and fluidized beds
- Type
- article
- Field-Weighted Citation Impact
- 0.00