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Dergiler / Politeknik Dergisi / 2026 / Cilt: 23 Sayı: 3

Estimation of the COVIMEP Variation in a HCCI Engine

Seyfi Polat(HİTİT ÜNİVERSİTESİ)0000-0002-7196-3053
Hamit Solmaz(GAZİ ÜNİVERSİTESİ)0000-0003-0689-6824
Alper Calam(GAZİ ÜNİVERSİTESİ)0000-0003-4125-2127
Emre Yılmaz(HAKKARİ ÜNİVERSİTESİ)0000-0002-5653-2079
Sayfa
721–727
Yayın Tarihi
2020-09-01
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

As a result of the study, it was seen that the stored data and the estimated COV IMEP data were compatible.

📌 3 Maddede Bu Makale

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Amaç & Hipotez: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.
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Temel Bulgular & Veri:Correlation between targets and outputs for teaching, accuracy and testing were obtained as 0.97989, 0.9504 and 0.91644, respectively.
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Sonuç & Katkı:As a result of the study, it was seen that the stored data and the estimated COV IMEP data were compatible.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:HCCI Engine · Low Temperature Combustion · Artificial Neural Network

Özet

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.

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.

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Bu Makaleye Atıf Yap

Polat, S., Solmaz, H., Calam, A. (2020). Estimation of the COVIMEP Variation in a HCCI Engine. Politeknik Dergisi, Cilt: 23 Sayı: 3, 721–727. https://doi.org/10.2339/politeknik.567865

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Kaynakça (14)

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