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Application of neural network in the study of combustion rate of natural gas/diesel dual fuel engine
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 相似文献
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Great efforts have been made to resolve the serious environmental pollution and inevitable declining of energy resources. A review of Chinese fuel reserves and engine technology showed that compressed natural gas (CNG)/diesel dual fuel engine (DFE) was one of the best solutions for the above problems at present. In order to study and improve the emission performance of CNG/diesel DFE, an emission model for DFE based on radial basis function (RBF) neural network was developed which was a black-box input-output training data model not require priori knowledge. The RBF centers and the connected weights could be selected automatically according to the distribution of the training data in input-output space and the given approximating error. Studies showed that the predicted results accorded well with the experimental data over a large range of operating conditions from low load to high load. The developed emissions model based on the RBF neural network could be used to successfully predict and optimize the emissions performance of DFE. And the effect of the DFE main performance parameters, such as rotation speed, load, pilot quantity and injection timing, were also predicted by means of this model. In resume, an emission prediction model for CNG/diesel DFE based on RBF neural network was built for analyzing the effect of the main performance parameters on the CO, NOx emissions of DFE. The predicted results agreed quite well with the traditional emissions model, which indicated that the model had certain application value, although it still has some limitations, because of its high dependence on the quantity of the experimental sample data. 相似文献
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INTRODUCTIONDuetodwindlingfueloilreservesandthedesireforreducedpollutantemissions,naturalgas,whichisdominantlycomposedofmethane,hasbeennowwidelyusedasanalternativefuelininternalcombustionengines .Aconventionaldieselenginecanbeconvertedwithoutexcessiveincr… 相似文献
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INTRODUCTION The serious environmental pollution and theenergy crisis all over the world has caused the de-velopment of the lower pollution and lower energyconsumption automobile to become major researchgoal. An engine using compressed natural gas(CNG) as fuel has outstanding advantages of higherefficiency and lower pollution. The CNG/dieselDFE for the city bus could also obviously reducethe pollution of the city air, especially for the bigcities. So the research on the combustion… 相似文献
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Application of neural network in the study of combustion rate of natural gas/diesel dual fuel engine
ＩＮＴＲＯＤＵＣＴＩＯＮＷｉｔｈｔｈｅｗｏｒｌｄｆａｃｉｎｇｓｅｒｉｏｕｓｐｏｌｌｕｔｉｏｎｏｆｅｎ ｖｉｒｏｎｍｅｎｔａｎｄｉｎｅｖｉｔａｂｌｅｄｅｃｌｉｎｉｎｇｒｅｓｏｕｒｃｅｓｏｆｅｎｅｒｇｙ,ｔｈｅｄｅｖｅｌｏｐｍｅｎｔｏｆｌｏｗｅｒｐｏｌｌｕｔｉｏｎａｎｄｌｏｗｅｒｅｎｅｒｇｙｃｏｎｓｕｍｐｔｉｏｎａｕｔｏｍｏｂｉｌｅｈａｓｂｅ ｃｏｍｅａｍａｊｏｒｒｅｓｅａｒｃｈｔａｒｇｅｔ.Ｔｈｅｈｉｇｈｅｆｆｉｃｉｅｎ ｃｙａｎｄｌｏｗｐｏｌｌｕｔｉｏｎｎａｔｕｒａｌｇａｓ ｄｉｅｓｅｌｄｕａｌｆｕｅ… 相似文献
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文中提出的FLAR模型预测模型是ETSK模型与LARF模型的有机结合体。它是与组合预测模型相似，但又与之存在着本质区别的一种预测模型。FLAR模型以TS模糊结构为模型框架，从而使预测结果的精度比普通预测方法的精度高。以系统的历史数据为模型输入，从而使输入输出的论域相同，可以从一维的角度来加以考虑，简化了模型的结构及系统参数的辨识；以一个L-R模糊数作为模型的输出，从而使预测结果更接近现实生活。能同时得出L-R型模糊预测值的均值，重心和面积参数，正对应于实际预测中常提及的三个概念，可能值，取值倾向及模糊程度，实例研究还表明，该预测方法在实际的经济、管理等的预测中是可行的。 相似文献
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The present work used a methane-air mixture chemical kinetics scheme consisting of 119 elementary reaction steps and 41 chemical
species to develop a simplified combustion model for prediction of the knock in dual fuel engines. Calculated values by the
model for natural gas operation showed good agreement with corresponding experimental values over a broad range of operating
conditions.
Project (No. 50106014) supported by the National Natural Science Foundation of China 相似文献
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ＩＮＴＲＯＤＵＣＴＩＯＮＦｏｌｌｏｗｉｎｇｔｈｅｐｒｏｇｒｅｓｓｉｎｒｅｓｅａｒｃｈｏｎｉｎ ｃｙｌｉｎｄｅｒｈｅａｔｔｒａｎｓｆｅｒｐｒｏｃｅｓｓｅｓｏｆｄｉｅｓｅｌｅｎ ｇｉｎｅｓ,ｔｈｅａｎａｌｙｔｉｃａｌｅｖａｌｕａｔｉｏｎｏｆｔｈｅｒａｄｉａｔｉｖｅｈｅａｔｔｒａｎｓｆｅｒｉｓｂｅｃｏｍｉｎｇｍｏｒｅａｎｄｍｏｒｅｉｍｐｏｒ ｔａｎｔ.Ｍａｎｙｒｅｓｅａｒｃｈｅｒｓｐｒｏｐｏｓｅｄｍｏｄｅｌｓａｎｄｄｅ ｖｅｌｏｐｅｄｃｏｒｒｅｓｐｏｎｄｉｎｇａｐｐｒｏａｃｈｅｓｆｏｒｅｖａｌｕａｔｉｎｇｔ… 相似文献
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