Estimation of the COVIMEP Variation in a HCCI Engine

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Politeknik Dergisi
Volume:23 Issue:3
Estimation of the COVIMEP Variation in a HCCI Engine

Estimation of the COVIMEP Variation in a HCCI Engine

Authors : Seyfi POLAT, Hamit SOLMAZ, Alper CALAM, Emre YILMAZ

Pages : 721-727

Doi:10.2339/politeknik.567865

View : 75 | Download : 13

Publication Date : 2020-09-01

Article Type : Research Paper

Abstract :In this study, variation of the COV IMEP was tried to be predicted by using the artificial neural network method for 4-stroke, 4-cylinder, direct injection and supercharged HCCI engine experimental data obtained by using n-heptane fuel at 60 o C intake air temperature, 1000 rpm engine speed at different inlet air intake pressure. Intake air inlet pressure and lambda were used as input data in artificial neural network model. The COV IMEP value was used as the target. Three layers and five neurons were used to construct the network using the Levenberg-Marquardt algorithm. Correlation between targets and outputs for teaching, accuracy and testing were obtained as 0.97989, 0.9504 and 0.91644, respectively. Total correlation factor was found as 0.96983. As a result of the study, it was seen that the stored data and the estimated COV IMEP data were compatible.
Keywords : HCCI Engine, Low Temperature Combustion, Artificial Neural Network

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