Logistic regression analysis on minimum ignition energy of flake aluminum

Lei Li, Qing Ming Liu*, Ke Ping Gao

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

The minimum ignition energies of flake aluminum dust-air mixtures with different mass concentrations were tested in a 1.28-L MIKE3 tube. According to the logistic regression model based on statistical analysis, the minimum ignition energy of the dust cloud was presented by the probability of ignition success. And the ignition probability-energy curves of the flake aluminum dust with different mass concentrations were calculated by means of the SPSS statistical analysis software. The investigated results display that as the mass concentration of the aluminum dust in the mixture increases, the minimum ignition energy first decreases quickly and then keep in a certain energy range. And the explosion sensitivity of the flake aluminum is higher than ordinary spherical one. Compared with the results calculated by other standard methods, the minimum ignition energy presented by the probability of ignition success is more consistent with the engineering test.

Original languageEnglish
Pages (from-to)161-166
Number of pages6
JournalBaozha Yu Chongji/Expolosion and Shock Waves
Volume34
Issue number2
Publication statusPublished - Mar 2014

Keywords

  • Dust explosion
  • Flake aluminum dust
  • Logistic regression
  • MIKE3 tube
  • Mechanics of explosion
  • Minimum ignition energy

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