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CLC number: TK411.2
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Received: 2002-02-28
Revision Accepted: 2002-07-05
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Cited: 3
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Application of neural network in the study of combustion rate of natural gas/diesel dual fuel engine
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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.
@article{title="Application of neural network in the study of combustion rate of natural gas/diesel dual fuel engine",
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",
number="2",
pages="170-174",
year="2003",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2003.0170"
}
%0 Journal Article
%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
TY - JOUR
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
ER -
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.
[1]Agrawal,A. and Assanis, D.N., 1998. Multi-dimensional modeling of natural gas ignition under compression ignition using detailed chemisty. SAE. 980136.
[2]Fei, S.M. and Yan, Z.D.,1992. On current status and future development of dual fuel engine. Proc. of IPEC,p.817-825.
[3]Karim.,G.A. and Yan, Z.D.,1988. Modeling of the combustion in the dual fuel engine, SAE. Paper 881154.
[4]Karim,G.A. and Yan, Z.D., 1991.Modeling of auto-ignition and knock in a compression ignition engine of the dual fuel type. IMechE,C430/035:141-147.
[5]Liu, Z.T., 2000. A stady of combustion and control model of natural gas-diesel fuel engine by means of neural network, Ph.D. thesis, Zhejiang University, China(in Chinese).
[6]Hoekstar, R. L. and Van Blarigan, P., 1996. NOX E-missions and efficiency of hydrogen, natural gas andhydrocarbon natural gas blended fuels, SAE, 961103:763-773.
[7]Omatu, S., Khalid, M.,1996. Neuro-control and its applications. Springer-verlag London limited.
[8]Yan, Z.D and Kriam, G.A., 1992. A predictive model for dual fuel D. I diesel engine performance and emission.ASME.,27:33-39.
[9]Yan, Z.D., Zhao, L.W. and Fei S.M.,2001a. Study and application of combustion model for dual fuel engine. CSICE, 2:133-139(in Chinese).
[10]Yan, Z.D., Zhou, C.G., Yan, Z.D., Zhou, C.G., Shen, Y.M. and Bian, W.C., 2001b.The effect of LPG on power and exhaust emissions in engineering vehicles. CICEE,22(2):1-4(in Chinese).
[11]Zhang, X., 2000. Study on the 2 dimensional simulation combustion model and performance for the electrical control diesel/cNG dual fuel engine, Ph.D. thesis, Northern JiaoTong University, China(in Chinese).
[12]Zhou, B., Tan, D.M. and Wei, D.Y., 2001. Prediction of Emissions from internal combustion engine using a neural network. CSICE,4:361-364(in Chinese).
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