1-D engine modeling of 4-cylinder turbocharged gasoline engine
This project is conducted to explore one-dimensional (1D) simulation for a 4-cylinder gasoline engine. The simulation and computational development of modeling for the study are conducted by using the commercial Computational Fluid Dynamics (CFD) of AVL BOOST software. The engine model was developed...
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Online Access: | http://eprints.utm.my/108657/1/MohammadNurHakimin2023_1DEngineModelingof4CylinderTurbocharged.pdf http://eprints.utm.my/108657/ http://dx.doi.org/10.11113/jtse.v9.158 |
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my.utm.1086572024-11-24T07:09:09Z http://eprints.utm.my/108657/ 1-D engine modeling of 4-cylinder turbocharged gasoline engine Ibrahim, Mohammad Nur Hakimin Chiong, Meng Soon Kim, Jeyoung Md. Sah, Muhammad Hanafi Mohamad, Mahadhir Chun, Mein Soon Srithar, Rajoo TJ Mechanical engineering and machinery This project is conducted to explore one-dimensional (1D) simulation for a 4-cylinder gasoline engine. The simulation and computational development of modeling for the study are conducted by using the commercial Computational Fluid Dynamics (CFD) of AVL BOOST software. The engine model was developed corresponding to a Proton 1.6-litre CamPro 4-cylinder turbocharged gasoline engine including the real engine geometry and parameters. The engine model is based on 1D equation of the gas exchange process, progressive engine combustion process, isentropic compression and expansion, and accounting for the heat transfer as well as the frictional losses. The aim of the study is to predict the steady-state performance of the engine model at full and partload conditions from 1000 to 5000 rpm by using engine cycle simulation. In this study, three parameter tuning works have been performed, which are combustion model tuning, intake manifold temperature tuning and turbocharger’s scaling factor tuning. In addition, the comparison and validation were done for the output performance parameters based on the provided experimental data. Overall, the engine performance behavior have been observed to determine how accurate AVL BOOST software can evaluate engine performance compare to experiment conducted on the real engine. The most accurate validation of the engine performance parameters have been achieved by manifold absolute pressure (MAP) with 3.14% error. However, by comparing with experimental data, major discrepancy is noticeable on several engine performance parameters. From this study, the results showed that the engine model is able to simulate engine’s combustion process and produce reasonable prediction. Penerbit UTM Press 2023-06 Article PeerReviewed application/pdf en http://eprints.utm.my/108657/1/MohammadNurHakimin2023_1DEngineModelingof4CylinderTurbocharged.pdf Ibrahim, Mohammad Nur Hakimin and Chiong, Meng Soon and Kim, Jeyoung and Md. Sah, Muhammad Hanafi and Mohamad, Mahadhir and Chun, Mein Soon and Srithar, Rajoo (2023) 1-D engine modeling of 4-cylinder turbocharged gasoline engine. Journal of Transport System Engineering (JTSE), 9 (1). pp. 19-27. ISSN 2289-9790 http://dx.doi.org/10.11113/jtse.v9.158 DOI:10.11113/jtse.v9.158 |
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TJ Mechanical engineering and machinery Ibrahim, Mohammad Nur Hakimin Chiong, Meng Soon Kim, Jeyoung Md. Sah, Muhammad Hanafi Mohamad, Mahadhir Chun, Mein Soon Srithar, Rajoo 1-D engine modeling of 4-cylinder turbocharged gasoline engine |
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This project is conducted to explore one-dimensional (1D) simulation for a 4-cylinder gasoline engine. The simulation and computational development of modeling for the study are conducted by using the commercial Computational Fluid Dynamics (CFD) of AVL BOOST software. The engine model was developed corresponding to a Proton 1.6-litre CamPro 4-cylinder turbocharged gasoline engine including the real engine geometry and parameters. The engine model is based on 1D equation of the gas exchange process, progressive engine combustion process, isentropic compression and expansion, and accounting for the heat transfer as well as the frictional losses. The aim of the study is to predict the steady-state performance of the engine model at full and partload conditions from 1000 to 5000 rpm by using engine cycle simulation. In this study, three parameter tuning works have been performed, which are combustion model tuning, intake manifold temperature tuning and turbocharger’s scaling factor tuning. In addition, the comparison and validation were done for the output performance parameters based on the provided experimental data. Overall, the engine performance behavior have been observed to determine how accurate AVL BOOST software can evaluate engine performance compare to experiment conducted on the real engine. The most accurate validation of the engine performance parameters have been achieved by manifold absolute pressure (MAP) with 3.14% error. However, by comparing with experimental data, major discrepancy is noticeable on several engine performance parameters. From this study, the results showed that the engine model is able to simulate engine’s combustion process and produce reasonable prediction. |
format |
Article |
author |
Ibrahim, Mohammad Nur Hakimin Chiong, Meng Soon Kim, Jeyoung Md. Sah, Muhammad Hanafi Mohamad, Mahadhir Chun, Mein Soon Srithar, Rajoo |
author_facet |
Ibrahim, Mohammad Nur Hakimin Chiong, Meng Soon Kim, Jeyoung Md. Sah, Muhammad Hanafi Mohamad, Mahadhir Chun, Mein Soon Srithar, Rajoo |
author_sort |
Ibrahim, Mohammad Nur Hakimin |
title |
1-D engine modeling of 4-cylinder turbocharged gasoline engine |
title_short |
1-D engine modeling of 4-cylinder turbocharged gasoline engine |
title_full |
1-D engine modeling of 4-cylinder turbocharged gasoline engine |
title_fullStr |
1-D engine modeling of 4-cylinder turbocharged gasoline engine |
title_full_unstemmed |
1-D engine modeling of 4-cylinder turbocharged gasoline engine |
title_sort |
1-d engine modeling of 4-cylinder turbocharged gasoline engine |
publisher |
Penerbit UTM Press |
publishDate |
2023 |
url |
http://eprints.utm.my/108657/1/MohammadNurHakimin2023_1DEngineModelingof4CylinderTurbocharged.pdf http://eprints.utm.my/108657/ http://dx.doi.org/10.11113/jtse.v9.158 |
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1817841626892992512 |
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13.222552 |