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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
2.
This article described the characteristics of the liquid nitrogen engine's ideal open cycle. Using two interconnecting strokes to achieve the power output can mitigate the trade-off between high efficiency and the potential mechanical complexity of multiple-cylinder engines. The total specific energy of the binary media (methane-nitrogen) cycle system could be much higher than the unitary medium (liquid nitrogen) cycle system. By theoretical analysis, the reasonably acceptable driving range proved the feasibility of the liquid nitrogen engine used for supplying power for a lightweight car. 相似文献
3.
This paper presents a method using a large steady-state engine operation data matrix to provide necessary information for
successfully training a predictive network, while at the same time eliminating errors produced by the dispersive effects of
the emissions measurement system. The steady-state training conditions of compound fuel allow for the correlation of time-averaged
in-cylinder combustion variables to the engine-out NO
x
and HC emissions. The error back-propagation neural network (EBP) is then capable of learning the relationships between these
variables and the measured gaseous emissions, and then interpolating between steady-state points in the matrix. This method
for NO
x
method for NO
x
and HC has been proved highly successful. 相似文献
4.
Application of neural network in the study of combustion rate of natural gas/diesel dual fuel engine
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