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A review on the application of response surface method and artificial neural network in engine performance and exhaust emissions characteristics in alternative fuel

Alternative fuel is one of the widely used fuel substitutions for both petrol and diesel in the field of internal combustion engine. The increase in the demand for alternative fuel is currently driven by the requirement of decreasing engine fuel consumption and fulfilling the stringent engine exhaus...

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Main Authors: I. M., Yusri, Anwar, P. P. Abdul Majeed, R., Mamat, M. F., Ghazali, Awad, Omar I., Azmi, W. H.
Format: Article
Language:English
Published: Elsevier Ltd. 2018
Subjects:
TJ Mechanical engineering and machinery
TS Manufactures
Online Access:http://umpir.ump.edu.my/id/eprint/22917/1/A%20review%20on%20the%20application%20of%20response%20surface%20method%20and%20artificial%20neural%20network.pdf
http://umpir.ump.edu.my/id/eprint/22917/
https://doi.org/10.1016/j.rser.2018.03.095
https://doi.org/10.1016/j.rser.2018.03.095
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spelling my.ump.umpir.229172019-10-03T08:20:52Z http://umpir.ump.edu.my/id/eprint/22917/ A review on the application of response surface method and artificial neural network in engine performance and exhaust emissions characteristics in alternative fuel I. M., Yusri Anwar, P. P. Abdul Majeed R., Mamat M. F., Ghazali Awad, Omar I. Azmi, W. H. TJ Mechanical engineering and machinery TS Manufactures Alternative fuel is one of the widely used fuel substitutions for both petrol and diesel in the field of internal combustion engine. The increase in the demand for alternative fuel is currently driven by the requirement of decreasing engine fuel consumption and fulfilling the stringent engine exhaust emissions pollutant regulations. In order to effectively tackle the aforementioned concerns, it appears that through engine experimental analysis alone for both engine performance and exhaust emissions is insufficient. Recently, the need for engine modelling based on statistical and machine learning methodologies through response surface and artificial neural network technique, respectively, are non-trivial to provide a better decision support analysis. Therefore, the present study reviews the extent to which the application of these methods in various alternative fuel in both spark and compression ignition engine to investigate their viability. The paper also describes herein the ways to determine the accuracy and the significance of model fitting for both methodologies. It was demonstrated from the review that most of the research yield favourable results of engine modelling prediction for both of the methods. It can be concluded the comparison between predicted and experimental results provided a high degree of determination coefficient indicating that the model could predict the model efficiency with reasonable accuracy. Elsevier Ltd. 2018-07 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/22917/1/A%20review%20on%20the%20application%20of%20response%20surface%20method%20and%20artificial%20neural%20network.pdf I. M., Yusri and Anwar, P. P. Abdul Majeed and R., Mamat and M. F., Ghazali and Awad, Omar I. and Azmi, W. H. (2018) A review on the application of response surface method and artificial neural network in engine performance and exhaust emissions characteristics in alternative fuel. Renewable and Sustainable Energy Reviews, 90. pp. 665-686. ISSN 1364-0321 https://doi.org/10.1016/j.rser.2018.03.095 https://doi.org/10.1016/j.rser.2018.03.095
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic TJ Mechanical engineering and machinery
TS Manufactures
spellingShingle TJ Mechanical engineering and machinery
TS Manufactures
I. M., Yusri
Anwar, P. P. Abdul Majeed
R., Mamat
M. F., Ghazali
Awad, Omar I.
Azmi, W. H.
A review on the application of response surface method and artificial neural network in engine performance and exhaust emissions characteristics in alternative fuel
description Alternative fuel is one of the widely used fuel substitutions for both petrol and diesel in the field of internal combustion engine. The increase in the demand for alternative fuel is currently driven by the requirement of decreasing engine fuel consumption and fulfilling the stringent engine exhaust emissions pollutant regulations. In order to effectively tackle the aforementioned concerns, it appears that through engine experimental analysis alone for both engine performance and exhaust emissions is insufficient. Recently, the need for engine modelling based on statistical and machine learning methodologies through response surface and artificial neural network technique, respectively, are non-trivial to provide a better decision support analysis. Therefore, the present study reviews the extent to which the application of these methods in various alternative fuel in both spark and compression ignition engine to investigate their viability. The paper also describes herein the ways to determine the accuracy and the significance of model fitting for both methodologies. It was demonstrated from the review that most of the research yield favourable results of engine modelling prediction for both of the methods. It can be concluded the comparison between predicted and experimental results provided a high degree of determination coefficient indicating that the model could predict the model efficiency with reasonable accuracy.
format Article
author I. M., Yusri
Anwar, P. P. Abdul Majeed
R., Mamat
M. F., Ghazali
Awad, Omar I.
Azmi, W. H.
author_facet I. M., Yusri
Anwar, P. P. Abdul Majeed
R., Mamat
M. F., Ghazali
Awad, Omar I.
Azmi, W. H.
author_sort I. M., Yusri
title A review on the application of response surface method and artificial neural network in engine performance and exhaust emissions characteristics in alternative fuel
title_short A review on the application of response surface method and artificial neural network in engine performance and exhaust emissions characteristics in alternative fuel
title_full A review on the application of response surface method and artificial neural network in engine performance and exhaust emissions characteristics in alternative fuel
title_fullStr A review on the application of response surface method and artificial neural network in engine performance and exhaust emissions characteristics in alternative fuel
title_full_unstemmed A review on the application of response surface method and artificial neural network in engine performance and exhaust emissions characteristics in alternative fuel
title_sort review on the application of response surface method and artificial neural network in engine performance and exhaust emissions characteristics in alternative fuel
publisher Elsevier Ltd.
publishDate 2018
url http://umpir.ump.edu.my/id/eprint/22917/1/A%20review%20on%20the%20application%20of%20response%20surface%20method%20and%20artificial%20neural%20network.pdf
http://umpir.ump.edu.my/id/eprint/22917/
https://doi.org/10.1016/j.rser.2018.03.095
https://doi.org/10.1016/j.rser.2018.03.095
_version_ 1648741137942315008
score 13.211869

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