Application of neural network in the study of combustion rate of natural gas/diesel dual fuel engine |
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| Authors: | Yan Zhao-da Zhou Chong-guang Su Shi-chuan Liu Zhen-tao Wang Xi-zhen |
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| Institution: | (1) Department of Energy Engineering, Zhejiang University, 310027 Hangzhou, China |
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| 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.
Project supported by National Lab. for Automotive Engine and Safety, Tsinghua University, China |
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| Keywords: | Dual fuel engine Forward neural network Rate of combustion |
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