Methyl methacrylate thermal decomposition: Modeling and laser spectroscopy of species time-histories behind reflected shock waves
Methyl methacrylate thermal decomposition: Modeling and laser spectroscopy of species time-histories behind reflected shock waves
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DOI：
10.1016/j.fuel.2022.126846
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发表时间：
2023-03
期刊：
影响因子：
7.4
通讯作者：
I. C. Sanders;Nicholas M. Kuenning;N. Minesi;Daniel I. Pineda;R. Spearrin
中科院分区：
文献类型：
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作者：
I. C. Sanders;Nicholas M. Kuenning;N. Minesi;Daniel I. Pineda;R. Spearrin
在1200-1600 K近1atm的温度范围内，通过测量甲醛（CH 2 O）、一氧化碳（CO）和二氧化碳（CO2）在反射激波后的物种时间历程，研究了甲基丙烯酸甲酯（MMA）的热分解.利用可调谐激光吸收光谱技术，对CH 2 O分子v1基频带和v2 + v4组合带的Q分支中的一组振转谱线进行了光谱和时间分辨。60 μ m处，CO的基频P支在4. 98 μ m附近，在CO2的（0 1 0 0→ 0 1 0 1）v3带的R支上有一个跃迁。19 μ m。随后使用光谱拟合程序来推断MMA在氩气中的冲击加热混合物热解过程中的CO、CO2和CH 2 O摩尔分数。这些数据提供了有价值的实验约束MMA热解化学动力学模型。MMA分解的详细化学模型的敏感性分析确定了可能解释物种测量和模拟测试条件之间观察到的差异的特定反应。修改后的反应速率参数选择MMA分解反应提出，通过遗传算法优化程序锚定的形态数据。
The thermal decomposition of methyl methacrylate (MMA) was studied through species time-history measurements of formaldehyde (CH 2 O), carbon monoxide (CO), and carbon dioxide (CO 2) behind reflected shock waves over a temperature range of 1200–1600 K near 1 atm. Tunable laser absorption spectroscopy was employed to spectrally and temporally-resolve a cluster of rovibrational lines in the Q-branches of the v 1 fundamental band and the v 2+ v 4 combination band of CH 2 O near 3. 60 μ m, three rovibrational transitions in the P-branch of the fundamental band of CO near 4. 98 μ m, and a transition in the R-branch of the (0 1 0 0→ 0 1 0 1) v 3 band of CO 2 near 4. 19 μ m. Spectral fitting procedures are subsequently used to infer CO, CO 2, and CH 2 O mole fraction during the pyrolysis of shock-heated mixtures of MMA in argon. These data provided valuable experimental constraints on MMA pyrolysis chemical kinetic models. Sensitivity analysis of a detailed chemical model for MMA decomposition identified specific reactions likely to account for differences observed between the species measurements and simulations of the test conditions. Modified reaction rate parameters for select MMA decomposition reactions are proposed, determined via a genetic algorithm optimization procedure anchored to the speciation data.