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A model to assess dust explosion occurrence probability
journal contribution
posted on 2023-05-19, 10:39 authored by Hassan, J, Faisal KhanFaisal Khan, Amyotte, P, Ferdous, RDust handling poses a potential explosion hazard in many industrial facilities. The consequences of a dust explosion are often severe and similar to a gas explosion; however, its occurrence is conditional to the presence of five elements: combustible dust, ignition source, oxidant, mixing and confinement. Dust explosion researchers have conducted experiments to study the characteristics of these elements and generate data on explosibility. These experiments are often costly but the generated data has a significant scope in estimating the probability of a dust explosion occurrence. This paper attempts to use existing information (experimental data) to develop a predictive model to assess the probability of a dust explosion occurrence in a given environment. The pro-posed model considers six key parameters of a dust explosion: dust particle diameter (PD), minimum ignition energy (MIE), minimum explosible concentration (MEC), minimum ignition temperature (MIT), limiting oxygen concentration (LOC) and explosion pressure (Pmax). A conditional probabilistic approach has been developed and embedded in the proposed model to generate a nomograph for assessing dust explosion occurrence. The generated nomograph provides a quick assessment technique to map the occurrence probability of a dust explosion for a given environment defined with the six parameters.
History
Publication title
Journal of Hazardous MaterialsVolume
268Pagination
140-149ISSN
0304-3894Department/School
Australian Maritime CollegePublisher
Elsevier Science BvPlace of publication
The NetherlandsRights statement
Copyright 2014 Elsevier B.V.Repository Status
- Restricted