Abstract
In order to predict and improve the performance of natural gas/diesel dual fuel engine (DFE), a combustion rate model based on forward neural network was built to study the combustion process of the DFE. The effect of the operating parameters on combustion rate was also studied by means of this model. The study showed that the predicted results were good agreement with the experimental data. It was proved that the developed combustion rate model could be used to successfully predict and optimize the combustion process of dual fuel engine.
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Project supported by National Lab. for Automotive Engine and Safety, Tsinghua University, China
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Yan, Zd., Zhou, Cg., Su, Sc. et al. Application of neural network in the study of combustion rate of natural gas/diesel dual fuel engine. J. Zhejiang Univ. Sci. A 4, 170–174 (2003). https://doi.org/10.1631/jzus.2003.0170
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DOI: https://doi.org/10.1631/jzus.2003.0170