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Journal of Zhejiang University SCIENCE A 2003 Vol.4 No.2 P.170~174

http://doi.org/10.1631/jzus.2003.0170


Application of neural network in the study of combustion rate of natural gas/diesel dual fuel engine


Author(s):  YAN Zhao-da, ZHOU Chong-guang, SU Shi-chuan, LIU Zhen-tao, WANG Xi-zhen

Affiliation(s):  Department of Energy Engineering, Zhejiang University, Hangzhou 310027, China

Corresponding email(s): 

Key Words:  Dual fuel engine, Forward neural network, Rate of combustion


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YAN Zhao-da, ZHOU Chong-guang, SU Shi-chuan, LIU Zhen-tao, WANG Xi-zhen. Application of neural network in the study of combustion rate of natural gas/diesel dual fuel engine[J]. Journal of Zhejiang University Science A, 2003, 4(2): 170~174.

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author="YAN Zhao-da, ZHOU Chong-guang, SU Shi-chuan, LIU Zhen-tao, WANG Xi-zhen",
journal="Journal of Zhejiang University Science A",
volume="4",
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pages="170~174",
year="2003",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2003.0170"
}

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%T Application of neural network in the study of combustion rate of natural gas/diesel dual fuel engine
%A YAN Zhao-da
%A ZHOU Chong-guang
%A SU Shi-chuan
%A LIU Zhen-tao
%A WANG Xi-zhen
%J Journal of Zhejiang University SCIENCE A
%V 4
%N 2
%P 170~174
%@ 1869-1951
%D 2003
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2003.0170

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T1 - Application of neural network in the study of combustion rate of natural gas/diesel dual fuel engine
A1 - YAN Zhao-da
A1 - ZHOU Chong-guang
A1 - SU Shi-chuan
A1 - LIU Zhen-tao
A1 - WANG Xi-zhen
J0 - Journal of Zhejiang University Science A
VL - 4
IS - 2
SP - 170
EP - 174
%@ 1869-1951
Y1 - 2003
PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.2003.0170


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.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

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