Prediction of Emission Performance in a Diesel Engine Fuelled with Bio-Diesel Based on Double-Hidden Layer BP Neural Network

Dong Tang; Ya Chao Xu; Shu De Yao; Chang Yuan Li; Nan Li

doi:10.4028/www.scientific.net/AMM.278-280.370

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 278-280Prediction of Emission Performance in a Diesel...

Prediction of Emission Performance in a Diesel Engine Fuelled with Bio-Diesel Based on Double-Hidden Layer BP Neural Network

Abstract:

Based on BP neural network relevant theories, using the fuel consumption, the load and the diesel blended rate as input parameters and measured CO, HC, NOx and soot emission data from bench tests of 180FA diesel engine under various operating conditions as training samples, a double-hidden layer BP neural network model for emission performance in a diesel engine fuelled with bio-diesel was established. The results show that the prediction results of CO, HC, NOx and soot emissions have a good agreement with their experimental ones, and correlation coefficients (R) are very high. It is further shown that the predicted values of HC and CO emissions increase as fuel consumption rate increase, and the predicted values of NOx and soot emissions decrease with the increase of fuel consumption rate.

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Periodical:

Applied Mechanics and Materials (Volumes 278-280)

Pages:

370-373

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.278-280.370

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Online since:

January 2013

Authors:

Dong Tang, Ya Chao Xu, Shu De Yao, Chang Yuan Li, Nan Li

Keywords:

Bio-Diesel, BP Neural Network (BPNN), Emission, Non-Road Diesel Engine

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References

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