University of Tasmania
Browse

File(s) under permanent embargo

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, R
Dust 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 Materials

Volume

268

Pagination

140-149

ISSN

0304-3894

Department/School

Australian Maritime College

Publisher

Elsevier Science Bv

Place of publication

The Netherlands

Rights statement

Copyright 2014 Elsevier B.V.

Repository Status

  • Restricted

Socio-economic Objectives

Workplace safety