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Kinetics of Decomposition of Energetic Ionic Liquids

机译:高能离子液体的分解动力学

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摘要

The Arrhenius-type reaction rate parameters for the initiation reactions governing the thermal decomposition of several energetic ionic liquids (EILs) were determined by numerical techniques. The compounds chosen for this purpose were the energetic 4-amino-l,2,4-triazolium nitrate (4ATN) and 1-hydroxyeth-yl-hydrazinium nitrate (HEHN). The supplementary compounds studied for comparison were 4-amino-l,2,4-triazolium chloride (4ATCl) and ammonium nitrate (AN). The reaction rate parameters were obtained by an evolutionary genetic algorithm (GA) that compared the difference between the experimental and simulated species evolution profiles from the decomposition process. The experimental data were generated by confined rapid thermolysis (CRT). The decomposition process was simulated by applying conservation equations to the condensed and gas phases individually. The optimization module recovered the experimental species profiles with reasonable accuracy for all the compounds studied. The processes governing the decomposition of these energetic compounds were found to be autocatalytic in nature, and the autocatalytic agents were the strong acids generated by the initial decomposition step. The activation energy and pre-exponential factor for the unimolecular decomposition step for 4ATN, HEHN, and 4ATC1 were 167-188 kJmol~(-1) and 10~(16) s~(-1), respectively, similar to previously determined values for AN.
机译:通过数值技术确定用于控制几种高能离子液体(EIL)热分解的引发反应的Arrhenius型反应速率参数。为此目的选择的化合物是高能的4-氨基-1,2,4-三唑鎓硝酸盐(4ATN)和1-羟基乙基-肼基硝酸盐(HEHN)。为进行比较而研究的补充化合物是4-氨基-1,2,4-三唑鎓氯化物(4ATCl)和硝酸铵(AN)。反应速率参数是通过进化遗传算法(GA)获得的,该算法比较了分解过程中实验物种和模拟物种进化曲线之间的差异。实验数据是通过密闭快速热解(CRT)生成的。通过分别将守恒方程应用于冷凝和气相来模拟分解过程。优化模块以合理的精度恢复了所有研究化合物的实验物种特征。发现控制这些高能化合物分解的过程本质上是自催化的,并且自催化剂是由初始分解步骤产生的强酸。 4ATN,HEHN和4ATC1单分子分解步骤的活化能和指数前因子分别为167-188 kJmol〜(-1)和10〜(16)s〜(-1),与先前确定的值相似为。

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