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Application of neural network in the study of combustion rate of natural gas/diesel dual fuel engine 被引量:1

Application of neural network in the study of combustion rate of natural gas/diesel dual fuel engine
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摘要 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 operatin g parameters on combustion rate was also studied by means of this model. The stu dy showed that the predicted results were good agreement with the experimental d a ta. It was proved that the developed combustion rate model could be used to succ essfully predict and optimize the combustion process of dual fuel engine. 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.
出处 《Journal of Zhejiang University Science》 EI CSCD 2003年第2期170-174,共5页 浙江大学学报(自然科学英文版)
关键词 Dual fuel engine Forward neural network Rate of combu stion 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
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