Minimum ignition energy theoretical model for flammable gas based on flame propagation layer by layer

Dafang Li, Weifu Sun*, Yangchaoyue Chen, Zhenmin Luo*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

To achieve the rapid prediction of minimum ignition energy (MIE) for premixed gases with wide-span equivalence ratios, a theoretical model is developed based on the proposed idea of flame propagation layer by layer. The validity and high accuracy of this model in predicting MIE have been corroborated against experimental data (from literature) and traditional models. In comparison, this model is mainly applicable to uniform premixed flammable mixtures, and the ignition source needs to be regarded as a punctiform energy source. Nevertheless, this model can exhibit higher accuracy (up to 90%) than traditional models when applied to premixed gases with wide-span equivalence ratios, such as C3H8-air mixtures with 0.7–1.5 equivalence ratios, CH4-air mixtures with 0.7–1.25 equivalence ratios, H2-air mixtures with 0.6–3.15 equivalence ratios et al. Further, the model parameters have been pre-determined using a 20 L spherical closed explosion setup with a high-speed camera, and then the MIE of common flammable gases (CH4, C2H6, C3H8, C4H10, C2H4, C3H6, C2H2, C3H4, C2H6O, CO and H2) under stoichiometric or wide-span equivalence ratios has been calculated. Eventually, the influences of model parameters on MIE have been discussed. Results show that MIE is the sum of the energy required for flame propagation during ignition. The increase in exothermic and heat transfer efficiency for fuel molecules can reduce MIE, whereas prolonging the flame induction period can increase MIE.

Original languageEnglish
Article number105086
JournalJournal of Loss Prevention in the Process Industries
Volume83
DOIs
Publication statusPublished - Jul 2023

Keywords

  • Energy increment
  • Flame propagation
  • Layer by layer
  • Minimum ignition energy
  • Prediction model
  • Wide-span equivalence ratios

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