Prediction of NOx Emissions from a Direct Injection Diesel Engine Using Artificial Neural Network

In the present study, artificial neural network is used to model the relationship between NOx emissions and operating parameters of a direct injection diesel engine. To provide data for training and testing the network, a 6-inline-cylinder, four-stroke, diesel test engine is used and tested for vari...

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Main Authors: J. Mohammadhassani, Sh. Khalilarya, M. Solimanpur, A. Dadvand
Format: Article
Language:English
Published: Wiley 2012-01-01
Series:Modelling and Simulation in Engineering
Online Access:http://dx.doi.org/10.1155/2012/830365
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author J. Mohammadhassani
Sh. Khalilarya
M. Solimanpur
A. Dadvand
author_facet J. Mohammadhassani
Sh. Khalilarya
M. Solimanpur
A. Dadvand
author_sort J. Mohammadhassani
collection DOAJ
description In the present study, artificial neural network is used to model the relationship between NOx emissions and operating parameters of a direct injection diesel engine. To provide data for training and testing the network, a 6-inline-cylinder, four-stroke, diesel test engine is used and tested for various engine speeds, mass fuel injection rates, and intake air temperatures. 80% of a total of 144 obtained experimental data is employed for training process. In addition, 10% of the data (randomly selected) is used for network validation and the remaining data is employed for testing the accuracy of the network. The mean square error function is used for evaluating the performance of the network. The results show that the artificial neural network can efficiently be used to predict NOx emissions from the tested engine with about 10% error.
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spelling doaj-art-49aa03ef1d834bd291f4e6a1acb024bd2025-02-03T00:59:45ZengWileyModelling and Simulation in Engineering1687-55911687-56052012-01-01201210.1155/2012/830365830365Prediction of NOx Emissions from a Direct Injection Diesel Engine Using Artificial Neural NetworkJ. Mohammadhassani0Sh. Khalilarya1M. Solimanpur2A. Dadvand3Department of Mechanical Engineering, Urmia University of Technology, Urmia 93187-57166, IranDepartment of Mechanical Engineering, Urmia University, Urmia 93187-57166, IranDepartment of Mechanical Engineering, Urmia University, Urmia 93187-57166, IranDepartment of Mechanical Engineering, Urmia University of Technology, Urmia 93187-57166, IranIn the present study, artificial neural network is used to model the relationship between NOx emissions and operating parameters of a direct injection diesel engine. To provide data for training and testing the network, a 6-inline-cylinder, four-stroke, diesel test engine is used and tested for various engine speeds, mass fuel injection rates, and intake air temperatures. 80% of a total of 144 obtained experimental data is employed for training process. In addition, 10% of the data (randomly selected) is used for network validation and the remaining data is employed for testing the accuracy of the network. The mean square error function is used for evaluating the performance of the network. The results show that the artificial neural network can efficiently be used to predict NOx emissions from the tested engine with about 10% error.http://dx.doi.org/10.1155/2012/830365
spellingShingle J. Mohammadhassani
Sh. Khalilarya
M. Solimanpur
A. Dadvand
Prediction of NOx Emissions from a Direct Injection Diesel Engine Using Artificial Neural Network
Modelling and Simulation in Engineering
title Prediction of NOx Emissions from a Direct Injection Diesel Engine Using Artificial Neural Network
title_full Prediction of NOx Emissions from a Direct Injection Diesel Engine Using Artificial Neural Network
title_fullStr Prediction of NOx Emissions from a Direct Injection Diesel Engine Using Artificial Neural Network
title_full_unstemmed Prediction of NOx Emissions from a Direct Injection Diesel Engine Using Artificial Neural Network
title_short Prediction of NOx Emissions from a Direct Injection Diesel Engine Using Artificial Neural Network
title_sort prediction of nox emissions from a direct injection diesel engine using artificial neural network
url http://dx.doi.org/10.1155/2012/830365
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AT msolimanpur predictionofnoxemissionsfromadirectinjectiondieselengineusingartificialneuralnetwork
AT adadvand predictionofnoxemissionsfromadirectinjectiondieselengineusingartificialneuralnetwork