eCite Digital Repository

A model to assess dust explosion occurrence probability

Citation

Hassan, J and Khan, FI and Amyotte, P and Ferdous, R, A model to assess dust explosion occurrence probability, Journal of Hazardous Materials, 268 pp. 140-149. ISSN 0304-3894 (2014) [Refereed Article]

Copyright Statement

Copyright 2014 Elsevier B.V.

DOI: doi:10.1016/j.jhazmat.2014.01.017

Abstract

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.

Item Details

Item Type:Refereed Article
Keywords:dust explosion, dust explosion parameters, dust explosion probability, probabilistic approach, dust explosion, industrial facilities, iimiting oxygen concentrations. minimum explosible concentrations, minimum ignition energy, occurrence probability
Research Division:Engineering
Research Group:Interdisciplinary Engineering
Research Field:Risk Engineering (excl. Earthquake Engineering)
Objective Division:Law, Politics and Community Services
Objective Group:Work and Institutional Development
Objective Field:Workplace Safety
Author:Khan, FI (Professor Faisal Khan)
ID Code:120707
Year Published:2014
Web of Science® Times Cited:7
Deposited By:NC Maritime Engineering and Hydrodynamics
Deposited On:2017-08-30
Last Modified:2017-11-03
Downloads:0

Repository Staff Only: item control page