利用均方根误差选择氨氢混合物层流燃烧速度化学机制的数值分析

IF 1.8 4区 工程技术 Q3 ENGINEERING, CHEMICAL Chemical Engineering & Technology Pub Date : 2024-09-16 DOI:10.1002/ceat.202400053
Yu Ying Lu, Xinyang Li, Herbert Une Meir, Guang Yu Yang, Yu Shuan Fan, Way Lee Cheng, Wai Siong Chai
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引用次数: 0

摘要

本研究采用 Cantera 代码研究不同氨氢混合物的层流燃烧速度。研究人员从最新文献中挑选了合适的模型,并通过误差函数法确定了与实验数据相比均方根误差(RMSE)最小的模型。对于氨氢混合物,Bao 机制在常压下的均方根误差值为 4.71,而 Otomo 机制在高压条件下的均方根误差值为 2.11。此外,还进行了敏感性分析,以突出每种机理中的关键反应,强调不同压力下的区别。这种方法旨在选择适当的机理,以降低氨-氢研究早期阶段的计算和实验成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Numerical Analysis Selecting Chemical Mechanism of Ammonia–Hydrogen Mixture Laminar Burning Velocity by RMSE
This study employs Cantera code to investigate the laminar burning velocity of different ammonia–hydrogen mixtures. Suitable models were selected from recent literature, and the one with the lowest root mean square error (RMSE) against experimental data was identified through the error function method. Bao mechanism shows an RMSE value of 4.71 at atmospheric pressure for ammonia–hydrogen mixtures, while the Otomo mechanism exhibits an RMSE of 2.11 under high-pressure conditions. Additionally, sensitivity analysis was conducted to highlight critical reactions within each mechanism, emphasizing distinctions between different pressures. This approach aims to choose the proper mechanism to reduce computational and experimental costs in the early stages of ammonia–hydrogen research.
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来源期刊
Chemical Engineering & Technology
Chemical Engineering & Technology 工程技术-工程:化工
CiteScore
3.80
自引率
4.80%
发文量
315
审稿时长
5.5 months
期刊介绍: This is the journal for chemical engineers looking for first-hand information in all areas of chemical and process engineering. Chemical Engineering & Technology is: Competent with contributions written and refereed by outstanding professionals from around the world. Essential because it is an international forum for the exchange of ideas and experiences. Topical because its articles treat the very latest developments in the field.
期刊最新文献
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