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Using dimensional analysis to assess dust explosion severity

  • Mohammad Alauddin*
  • , Albert Addo
  • , Michael J. Pegg
  • , Paul Amyotte
  • *Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

4 Scopus citations

Abstract

This work presents a dimensional analysis (DA) approach to assess risk and understand the interdependence of various deflagration parameters in dust explosions. Several dimensionless numbers have been derived using the Buckingham Π-theorem and Ipsen's method based on key influencing factors, including particle size, dust concentration, interparticle spacing, characteristic length of the explosion chamber, and several physical and chemical properties (e.g., density, thermal conductivity, specific heat capacity, and specific heat of reaction). The proposed DA framework has been used to study explosibility of high-density polyethylene and aluminum dust samples, which exhibit different reactivity and deflagration mechanisms. Generalized empirical correlations for explosion pressure and rate of pressure rise using the proposed dimensionless numbers have been deduced to predict dust explosibility at varying conditions. This can be useful in understanding dust explosibility and devising safety measures for dust explosion prevention and mitigation.

Original languageEnglish
Article number105797
JournalJournal of Loss Prevention in the Process Industries
Volume99
DOIs
StatePublished - Jan 2026
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2025 The Authors

Keywords

  • Dimensional analysis
  • Dust concentration
  • Explosible dust
  • Explosion pressure
  • Particle size

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Food Science
  • General Chemical Engineering
  • Safety, Risk, Reliability and Quality
  • Energy Engineering and Power Technology
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering

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