Optimization of kinetic mechanism for hydrogen combustion based on machine learning

Author:

Cao Shuangshuang,Zhang Houjun,Liu Haoyang,Lyu Zhiyuan,Li Xiangyuan,Zhang Bin,Han You

Publisher

Springer Science and Business Media LLC

Reference49 articles.

1. Awad O I, Zhou B, Harrath K, Kadirgama K. Characteristics of NH3/H2 blend as carbon-free fuels: a review. International Journal of Hydrogen Energy, 2023, 48(96): 38077–38100

2. Li X, Yao X, Shentu J, Sun X, Li J, Liu M, Xu S. Combustion reaction mechanism construction by two-parameter rate constant method. Chemical Journal of Chinese Universities, 2020, 41(3): 512–520 (in Chinese)

3. Li X, Shentu J, Li Y, Li J, Wang J. Combustion mechanism construction based on minimized reaction network: hydrogen-oxygen combustion. Chemical Journal of Chinese Universities, 2020, 41(4): 772–779 (in Chinese)

4. Wang H, Sheen D A. Combustion kinetic model uncertainty quantification, propagation and minimization. Progress in Energy and Combustion Science, 2015, 47: 1–31

5. Wang H, Yao M, Reitz R D. Development of a reduced primary reference fuel mechanism for internal combustion engine combustion simulations. Energy & Fuels, 2013, 27(12): 7843–7853

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