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Application of neural network in the study of combustion rate of natural gas/diesel dual fuel engine
作者姓名:Yan ZD  Zhou CG  Su SC  Liu ZT  Wang XZ
作者单位:DepartmentofEnergyEngineering,ZhejiangUniversity,Hangzhou310027,China
摘    要:In order to predict and improve the performance of matural gas/diesel dual fuel engine(DFE),a combustion rate model based on forward meural 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 de-veloped combustion rate model could be used to successfully predict and optimize the combustion process of dual fuel engine.

关 键 词:双重燃料发动机  柴油机  天然气  燃烧率  前向神经网络  燃烧速度  燃烧过程

Application of neural network in the study of combustion rate of natural gas/diesel dual fuel engine
Yan ZD,Zhou CG,Su SC,Liu ZT,Wang XZ.Application of neural network in the study of combustion rate of natural gas/diesel dual fuel engine[J].Journal of Zhejiang University Science,2003,4(2):170-174.
Authors:Yan Zhao-Da  Zhou Chong-Guang  Su Shi-Chuan  Liu Zhen-Tao  Wang Xi-Zhen
Institution:Department of Energy Engineering, Zhejiang University, Hangzhou 310027, China.
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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