Bütanol-Diesel yakıtı kullanılan bir sıkıştırma ateşlemeli motorda motor performansı ve egzoz emisyonlarının yapay sinir ağları ile tahmini

Yıl 2018, Cilt: 24 Sayı: 4, 576 - 581, 17.08.2018

Samet Gürgen İsmail Altın

Öz

Bu
çalışmada saf Diesel yakıtı ve 5 farklı bütanol-Diesel yakıt karışımları (%3,
6, 9, 12 ve 15) kullanılan bir Diesel motorunda (SA) farklı devir sayılarında
ve tam yük durumunda motor performansı ve egzoz emisyonları yapay sinir ağları
(YSA) ile modellenmiştir. Deneysel çalışmalarda; tek silindirli bir Diesel
motoru kullanılmıştır. Sunulan YSA modelinde; Scaled Conjugate Gradient ve Levenberg–Marquardt
algoritmaları, tek katman ve sigmoid transfer fonksiyonu kullanılmıştır. Girdi
katmanı devir sayısı ve karışım oranını içermektedir. Çıktı katmanı ise özgül
yakıt tüketimi, efektif verim, NOx emisyonu ve CO emisyonu parametrelerini
içermektedir. Ağın performansı için ortalama mutlak yüzde hata (MAPE) değerleri
ve ortalama hata kareleri (MSE) hesaplanmıştır. Geliştirilen YSA modelin,
deneysel sonuçlarla uyum içinde olduğu görülmüştür.

Anahtar Kelimeler

Diesel motorlar, Yapay sinir ağları, Motor performansı ve egzoz emisyonları

Prediction of engine performance and exhaust emissions using artificial neural network in a compression ignition engine fueled with butanol-diesel fuel

Öz

In
this study, engine performance and exhaust emission of a Diesel engine (CI) at
full load and various speeds conditions using only Diesel fuel and five
different blends with butanol (3, 6, 9, 12 and 15 v/v %) were modeled by using
Artificial Neural Network (ANN). A single-cylinder diesel engine was used in the
experimental studies. Single layer, logistic sigmoid transfer function Scaled
Conjugate Gradient and Levenberg–Marquardt algorithms were used in the presented ANN model. Input
layer includes engine speed and blending ratio. Output layer includes parameters
of brake specific fuel consumption, effective efficiency, NOx emission and CO
emission. Mean absolute percentage error (MAPE) data and mean square error
(MSE) and were calculated for performance of the networks. It was obtained that
there was a consistency among the presented ANN model and the data obtained
from experiments.

Anahtar Kelimeler

Diesel engines, Artificial neural networks, Engine performance and exhaust emissions

Kaynakça

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