Multi-objective NSGA-II optimization of a compression ignition engine parameters using biodiesel fuel and exhaust gas recirculation

In this study an exhaust gas recirculation system was developed for a small single cylinder 4-stroke engine. Then the mathematical models to correlate responses as the engine emissions and performance characteristics to the factors, include engine load, engine speed, EGR rate and biodiesel fuel perc...

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Main Authors:	Jaliliantabar, Farzad, Ghobadian, B., Najafi, G., R., Mamat, Carlucci, Antonio Paolo
Format:	Article
Language:	English
Published:	Elsevier 2019
Subjects:	TJ Mechanical engineering and machinery TL Motor vehicles. Aeronautics. Astronautics
Online Access:	http://umpir.ump.edu.my/id/eprint/26102/ http://umpir.ump.edu.my/id/eprint/26102/ http://umpir.ump.edu.my/id/eprint/26102/ http://umpir.ump.edu.my/id/eprint/26102/1/Multi-objective%20NSGA-II%20optimization%20of%20a%20compression%20ignition%20.pdf

id	ump-26102
recordtype	eprints
spelling	ump-261022019-11-27T03:26:45Z http://umpir.ump.edu.my/id/eprint/26102/ Multi-objective NSGA-II optimization of a compression ignition engine parameters using biodiesel fuel and exhaust gas recirculation Jaliliantabar, Farzad Ghobadian, B. Najafi, G. R., Mamat Carlucci, Antonio Paolo TJ Mechanical engineering and machinery TL Motor vehicles. Aeronautics. Astronautics In this study an exhaust gas recirculation system was developed for a small single cylinder 4-stroke engine. Then the mathematical models to correlate responses as the engine emissions and performance characteristics to the factors, include engine load, engine speed, EGR rate and biodiesel fuel percent, were developed. Finally, by using the developed models and NSGA-II (Non-dominated Sorting Genetic Algorithm II) method, the factors were optimized. The highest decrease in NOx emissions while using the biodiesel and EGR is 63.76% with B10 fuel blend (10% biodiesel fuel and 90% diesel fuel blend by volume) and 30% EGR rate. The highest reduction in HC emission levels while using EGR and biodiesel simultaneously, has been 54.05%. The adjusted R2 of the proposed model for the CO, HC, NOx, Power, BSFC and smoke were 0.94, 0.91, 0.88, 0.95, 0.89 and 0.94, respectively. Results of the optimization of the engine factors with NSGA-II method has been satisfactory and the pareto front for different test conditions was proposed. The outcomes of the study revealed that the optimization should be taken into account in the development of the new policy for using of the biofuel in the internal combustion engines. Elsevier 2019-11-15 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/26102/1/Multi-objective%20NSGA-II%20optimization%20of%20a%20compression%20ignition%20.pdf Jaliliantabar, Farzad and Ghobadian, B. and Najafi, G. and R., Mamat and Carlucci, Antonio Paolo (2019) Multi-objective NSGA-II optimization of a compression ignition engine parameters using biodiesel fuel and exhaust gas recirculation. Energy, 187. pp. 1-2. ISSN 0360-5442 (Print), 1873-6785 (Online) https://doi.org/10.1016/j.energy.2019.115970 https://doi.org/10.1016/j.energy.2019.115970
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TJ Mechanical engineering and machinery TL Motor vehicles. Aeronautics. Astronautics
spellingShingle	TJ Mechanical engineering and machinery TL Motor vehicles. Aeronautics. Astronautics Jaliliantabar, Farzad Ghobadian, B. Najafi, G. R., Mamat Carlucci, Antonio Paolo Multi-objective NSGA-II optimization of a compression ignition engine parameters using biodiesel fuel and exhaust gas recirculation
description	In this study an exhaust gas recirculation system was developed for a small single cylinder 4-stroke engine. Then the mathematical models to correlate responses as the engine emissions and performance characteristics to the factors, include engine load, engine speed, EGR rate and biodiesel fuel percent, were developed. Finally, by using the developed models and NSGA-II (Non-dominated Sorting Genetic Algorithm II) method, the factors were optimized. The highest decrease in NOx emissions while using the biodiesel and EGR is 63.76% with B10 fuel blend (10% biodiesel fuel and 90% diesel fuel blend by volume) and 30% EGR rate. The highest reduction in HC emission levels while using EGR and biodiesel simultaneously, has been 54.05%. The adjusted R2 of the proposed model for the CO, HC, NOx, Power, BSFC and smoke were 0.94, 0.91, 0.88, 0.95, 0.89 and 0.94, respectively. Results of the optimization of the engine factors with NSGA-II method has been satisfactory and the pareto front for different test conditions was proposed. The outcomes of the study revealed that the optimization should be taken into account in the development of the new policy for using of the biofuel in the internal combustion engines.
format	Article
author	Jaliliantabar, Farzad Ghobadian, B. Najafi, G. R., Mamat Carlucci, Antonio Paolo
author_facet	Jaliliantabar, Farzad Ghobadian, B. Najafi, G. R., Mamat Carlucci, Antonio Paolo
author_sort	Jaliliantabar, Farzad
title	Multi-objective NSGA-II optimization of a compression ignition engine parameters using biodiesel fuel and exhaust gas recirculation
title_short	Multi-objective NSGA-II optimization of a compression ignition engine parameters using biodiesel fuel and exhaust gas recirculation
title_full	Multi-objective NSGA-II optimization of a compression ignition engine parameters using biodiesel fuel and exhaust gas recirculation
title_fullStr	Multi-objective NSGA-II optimization of a compression ignition engine parameters using biodiesel fuel and exhaust gas recirculation
title_full_unstemmed	Multi-objective NSGA-II optimization of a compression ignition engine parameters using biodiesel fuel and exhaust gas recirculation
title_sort	multi-objective nsga-ii optimization of a compression ignition engine parameters using biodiesel fuel and exhaust gas recirculation
publisher	Elsevier
publishDate	2019
url	http://umpir.ump.edu.my/id/eprint/26102/ http://umpir.ump.edu.my/id/eprint/26102/ http://umpir.ump.edu.my/id/eprint/26102/ http://umpir.ump.edu.my/id/eprint/26102/1/Multi-objective%20NSGA-II%20optimization%20of%20a%20compression%20ignition%20.pdf
first_indexed	2023-09-18T22:40:26Z
last_indexed	2023-09-18T22:40:26Z
_version_	1777416878887534592

Multi-objective NSGA-II optimization of a compression ignition engine parameters using biodiesel fuel and exhaust gas recirculation

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