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Study of CNG／diesel dual fuel engine＇s emissions by means of RBF neural network

Journal of Zhejiang University Science 2004年第8期5卷 960-965页

作者：刘震涛费少梅 CollegeofMechanicalandEnergyengineering ZhejiangUniversityHangzhou310027China

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 resumé, 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.

关键词： dual fuel engine Emission performance RBF neural network

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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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Journal of Zhejiang University Science 2003年第2期4卷 170-174页

作者：严兆大周重光苏石川刘震涛王希珍 DepartmentofEnergyengineering ZhejiangUniversityHangzhou310027China

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.

关键词： dual fuel engine Forward neural network Rate of combu stion

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FAST KNOCKING PATTERN RECOGNITION FOR ANTI-KNOCK CONTROLLER IN dual fuel engine

FAST KNOCKING PATTERN RECOGNITION FOR ANTI-KNOCK CONTROLLER ...

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The Third International Conference on Dynamics, Vibration and Control

作者： S.Lekngam P.Sooraksa Department of Electrical engineering Burapha UniversityChonburi 20131Thailand Department of Information engineering King Mongkut's Institute of Technology LadkrabangBangkok 10520Thailand

＜正＞The dual fuel CNG-diesel engine is a means of utilizing gaseous fuel resources efficiently in appropriately converted diesel *** some published research on the use gaseous fuel in Diesel engine show the relation between compression ratio,combustion noise,knock and self- ignition *** combustion is exciting the vibration of engine’s part which decrease thermal efficiency and damage the *** method to control the non-knocking combustion is the interested problem.

关键词： Fuzzy control Wavelet transform Knocking dual fuel engine

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Effect of exhaust gas recirculation and intake pre-heating on performance and emission characteristics of dual fuel engines at part loads

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Journal of Central South University 2012年第5期19卷 1346-1352页

作者： A.Paykani R.Khoshbakhti Saray M.T.Shervani-Tabar A.Mohammadi-Kousha Department of Automotive engineering Iran University of Science and TechnologyNarmakTehran ***Iran Department of Mechanical engineering Sahand University of TechnologySahand New CityTabrizIran Department of Mechanical engineering University of TabrizTabrizIran

Achieving simultaneous reduction of NOx,CO and unburned hydrocarbon(UHC) emissions without compromising engine performance at part loads is the current focus of dual fuel engine *** present work focuses on an experimental investigation conducted on a dual fuel(diesel-natural gas) engine to examine the simultaneous effect of inlet air pre-heating and exhaust gas recirculation(EGR) ratio on performance and emission characteristics at part *** use of EGR at high levels seems to be unable to improve the engine performance at part ***,it is shown that EGR combined with pre-heating of inlet air can slightly increase thermal efficiency,resulting in reduced levels of both unburned hydrocarbon and NOx *** and UHC emissions are reduced by 24% and 31%,respectively,The NOx emissions decrease by 21% because of the lower combustion temperature due to the much inert gas brought by EGR and decreased oxygen concentration in the cylinder.

关键词： dual fuel engine exhaust gas recirculation (EGR) emission performance venturi EGR system

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