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Shock tube and laser absorption study of C–N–Cl interactions relevant to ammonium perchlorate combustion

Journal 2025 · IF 6.2 · 发表于 2025 年 9 月 29 日
作者: Shubao Song,Lin Zhang,Meishuai Zou,Jiankun Shao
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摘要

High-temperature gas-phase interactions between chlorine- and nitrogen-bearing species relevant to ammonium-perchlorate (AP) propellant combustion were elucidated by coupling shock-tube laser-absorption measurements with a detailed kinetic model. Time-resolved HCl concentration profiles were obtained for four argon-diluted surrogates—0.3 % NH 3 /0.3 % CCl 4 , 0.5 % NH 3 /0.3 % CCl 4 , 0.2 % NH 3 /0.2 % CCl 4 /0.2 % CH 4 , and 0.2 % NH 3 /0.2 % CCl 4 /0.2 % H 2 —over 1158–1506 K at near-atmospheric pressure. A kinetic model consisting of 164 species and 1358 reactions, assembled from state-of-the-art CCl 4 , H–Cl–O, NH 3 /C 0 –C 2 , and N–Cl sub-models, reproduced the new HCl data alongside literature ignition-delay and speciation measurements with excellent accuracy. Sensitivity and rate-of-production analyses reveal a temperature-robust control structure in which HCl forms almost entirely through Cl-atom abstraction from NH 3 , with Cl supplied by rapid CCl 4 dissociation; the barrierless Cl + H<=>HCl path dominates in H 2 -containing mixtures, whereas competition from Cl + CH 4 <=>CH 3 + HCl moderates HCl growth and channels carbon–nitrogen flux toward toxic HCN when CH 4 is present. Elevated temperature chiefly amplifies Cl production and suppresses NH 2 recombination, accelerating overall reactivity without altering the dominant pathways. The resulting benchmark HCl time-histories and rigorously validated model advance fundamental understanding of chlorine–nitrogen combustion chemistry and provide quantitative guidance for formulating halogenated energetic materials that maximise performance while limiting hazardous by-product formation. Importantly, the mechanism developed here may serve as a transferable gas-phase sub-model for future integration into comprehensive AP combustion frameworks, enabling more predictive simulations of real propellant systems.

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