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Influence of scale of dust testing systems on explosibility parameters

  • Mohammad Alauddin*
  • , Albert Addo
  • , Dongyang Qiu
  • , Jan Skrinsky
  • , Vojtech Jankuj
  • , Stefan H. Spitzer
  • , Paul Amyotte
  • *Corresponding author for this work

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

Abstract

This work explores dust explosibility at different scales based on physical and chemical properties of the given dust samples and the corresponding data from different scales of test apparatus. The first part of the analysis examines the influence of scale on explosion severity parameters (e.g., Pmax and KSt) of different materials at varying conditions. Following that, the relative importance of selected features for Pmax and KSt values at different scales has been determined using permutation feature importance. Finally, empirical relations for explosibility parameters at different scales based on selected physico-chemical properties of fuel-air mixtures and deflagration parameters have been developed. The proposed framework has been used to study the explosibility of different materials (e.g., carbon black, oat grain flour, zinc, aluminum, iron, lignite, lycopodium, nitrocellulose, and polyethylene dust samples) with varying sizes. The analyses can be useful in understanding dust explosibility at different scales and reducing reliance on multiple testing, which is cumbersome and cost-intensive (especially testing in the 1-m3 chamber).

Original languageEnglish
Article number106001
JournalJournal of Loss Prevention in the Process Industries
Volume102
DOIs
StatePublished - Aug 2026

Bibliographical note

Publisher Copyright:
© 2026

Keywords

  • Dust dispersion
  • Dust explosibility
  • Explosion severity
  • Feature importance
  • Thermal diffusivity

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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