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Prediction of DI diesel engine performance and exhaust emissions with artificial neur
#1
Prediction of DI diesel engine performance and exhaust emissions
with artificial neural network
Sh. Khalilarya1
Associate Professor of Urmia
University
Sh.Khalilarya@urmia.ac.ir
M.Bakhshi
MSc Student of Urmia
University
St_M .Bakhshi@urmia.ac.ir
Abstract
This study investigates the use of artificial neural network (ANN) modeling to predict power, brake
specific fuel consumption (BSFC), and exhaust emissions of a DI (Direct Injection) diesel engine. A fourstroke
DI diesel engine was modified for the present work and was operated at different engine speeds.
For the ANN modeling, the standard back-propagation algorithm was found to be the optimum choice for
training the model. A multi-layer network was used for non-linear mapping between the input and output
parameters. Comparing ANN model and the experimental data for OM355 diesel engine showed that the
performance of the used model or mean square error (MSE) of ANN is about 0.000014, 0.000511,
0.000876, 0.000079, and 0.000847 for the engine power, BSFC, NOx, CO and Soot respectively, that
shows perfect results.
Keywords: DI diesel engine, ANN, Engine performance, Engine emissions.
[تصویر:  download.php?img=632] رمز :www.mokhs.com
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