All the recently occurred accidents involving powdered materials demonstrate that dust explosion is up to now an open problem. To mitigate the effects of this phenomenon on people, environment and equipment, it is important to understand the characteristics of the potentially explosive material which can affect the violence of a dust explosion. The deflagration index is the most relevant recognized parameter able to measure the severity of such a phenomenon. Among all the critical issues affecting the use of this parameter for industrial safety, the particle size distribution of the tested powder plays a relevant role. In this paper, a simple but reliable mathematical model has been proposed to describe the effect of the mean particle diameter on the dust explosibility. Model predictions have been compared with both literature and new experimental data in order to validate the general proposed approach.

Prediction of the deflagration index for organic dusts as a function of the mean particle diameter

Copelli, Sabrina
2017-01-01

Abstract

All the recently occurred accidents involving powdered materials demonstrate that dust explosion is up to now an open problem. To mitigate the effects of this phenomenon on people, environment and equipment, it is important to understand the characteristics of the potentially explosive material which can affect the violence of a dust explosion. The deflagration index is the most relevant recognized parameter able to measure the severity of such a phenomenon. Among all the critical issues affecting the use of this parameter for industrial safety, the particle size distribution of the tested powder plays a relevant role. In this paper, a simple but reliable mathematical model has been proposed to describe the effect of the mean particle diameter on the dust explosibility. Model predictions have been compared with both literature and new experimental data in order to validate the general proposed approach.
2017
http://www.elsevier.com/inca/publications/store/3/0/4/4/4/index.htt
Deflagration index; Dust explosion; Experimental KStdata; Explosion severity; Modeling; Control and Systems Engineering; Food Science; Chemical Engineering (all); Safety, Risk, Reliability and Quality; Energy Engineering and Power Technology; Management Science and Operations Research; Industrial and Manufacturing Engineering
Fumagalli, Anna; Derudi, Marco; Rota, Renato; Snoeys, Jef; Copelli, Sabrina
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11383/2068939
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 15
  • ???jsp.display-item.citation.isi??? 14
social impact