浙江大学学报(英文版)
浙江大學學報(英文版)
절강대학학보(영문판)
JOURNAL OF ZHEJIANG UNIVERSITY SCIENCE
2003年
2期
170-174
,共5页
严兆大%周重光%苏石川%刘震涛%王希珍
嚴兆大%週重光%囌石川%劉震濤%王希珍
엄조대%주중광%소석천%류진도%왕희진
Dual fuel engine%Forward neural network%Rate of combustion
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.
