针对燃烧的紧化学动力模型的自动生成
Venus Amiri1, Rubik Asatryan1, Mark Swihart1
1Department of Chemical and Biological Engineering, University at Buffalo, The State University of New York, Buffalo, New York 14260, United States.
ACS omega
|January 1, 2024
概括
自动化工具生成了n-pentane燃烧的紧动力模型,提高了混合火箭燃料模拟的准确性. 这种方法可以有效地建模较大的基.
科学领域:
- 化学动力学 化学动力学
- 燃烧科学是一种科学.
- 计算化学是一种计算化学.
背景情况:
- n-坦是基燃烧的原型,也是用于混合火箭燃料的最小.
- 对于较大的基,手工构建详细的动力模型是不可行的.
研究的目的:
- 开发一个详细的化学动力模型,用于n-pentane燃烧,使用自动化机制生成.
- 验证和完善模型,以在各种条件下预测燃烧行为.
- 为了建立一个模型更大的n-基作为混合火箭燃料的基础.
主要方法:
- 采用反应机制发生器 (RMG) 软件用于自动化机制构造.
- 包含可用的热力学和动力学数据库.
- 根据实验层状燃烧速度和点火延迟时间的验证预测.
- 进行反应路径和灵敏度分析以完善热化学和速率参数.
主要成果:
- 生成的n-pentane燃烧模型准确地预测了点火延迟时间,与手工构建的模型相比.
- 预测的火焰速度在已发表的实验结果的10%以内.
- 该模型比手动生成的模型紧得多.
结论:
- 自动化机制生成是一种可行的方法,用于创建可靠和紧的n-的动力模型.
- 开发的n-pentane模型作为模拟混合火箭中更大的n-alkane燃料的基础.
- 这种方法可以扩展到更大的n-基,克服手工模型构建的局限性.
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