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<p>This research investigates a wall efficiency model to numerically predict the flame flashback limit. To validate the proposed model, three wall conditions under three inlet temperatures were tested using laminar perforated burner flames: (i) conjugate heat transfer (CHT), (ii) adiabatic, and (iii) wall efficiency model. Significant differences in flashback limits were observed between the CHT and the adiabatic wall simulations. When the wall efficiency model was applied to the adiabatic wall condition, the flashback limit proportionally increased with increases in the wall efficiency coefficients. In this study, the reactivity speed was defined to analyze the effect of the wall efficiency model. The ratio of the axial velocity to the reactivity speed approached unity when optimal wall efficiency coefficients were utilized. The wall efficiency model demonstrated enhanced predictive capability, accurately matching the flashback limit determined by the CHT simulation.</p>

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Development of near-wall treatment to improve flame flashback prediction for hydrogen/air flames

  • 期刊论文

  • 发表日期：

    2026年5月11日

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  • Minjun Choi,
  • Hokeun Kim,
  • Minha Baek,
  • Vlad Aparece-Scutariu,
  • Inyeong Gu,
  • Youngjun Shin,
  • Eun-Seong Cho,
  • Dong-Hyuk Shin

摘要

This research investigates a wall efficiency model to numerically predict the flame flashback limit. To validate the proposed model, three wall conditions under three inlet temperatures were tested using laminar perforated burner flames: (i) conjugate heat transfer (CHT), (ii) adiabatic, and (iii) wall efficiency model. Significant differences in flashback limits were observed between the CHT and the adiabatic wall simulations. When the wall efficiency model was applied to the adiabatic wall condition, the flashback limit proportionally increased with increases in the wall efficiency coefficients. In this study, the reactivity speed was defined to analyze the effect of the wall efficiency model. The ratio of the axial velocity to the reactivity speed approached unity when optimal wall efficiency coefficients were utilized. The wall efficiency model demonstrated enhanced predictive capability, accurately matching the flashback limit determined by the CHT simulation.