Engine performance and emission analysis of LPG-SI engine with the aid of artificial neural network
Article
Article Title | Engine performance and emission analysis of LPG-SI engine with the aid of artificial neural network |
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ERA Journal ID | 3710 |
Article Category | Article |
Authors | Yusaf, T. (Author), Saleh, K. H. (Author) and Said, M. A. (Author) |
Journal Title | Proceedings of the Institution of Mechanical Engineers Part A: Journal of Power and Energy |
Journal Citation | 225 (5), pp. 591-600 |
Number of Pages | 10 |
Year | 2011 |
Place of Publication | United Kingdom |
ISSN | 0957-6509 |
Digital Object Identifier (DOI) | https://doi.org/10.1177/0957650911402546 |
Web Address (URL) | https://journals.sagepub.com/doi/10.1177/0957650911402546 |
Abstract | Artificial neural network (ANN) technique is used in this analysis to estimate the performance and emission concentration of liquefied petroleum gas (LPG) spark-ignition (SI) engine. The performance indicators include fuel consumption and brake thermal efficiency while |
Keywords | artificial neural network; liquefied petroleum gas; spark-ignition engine; performance; emission |
ANZSRC Field of Research 2020 | 401703. Energy generation, conversion and storage (excl. chemical and electrical) |
400203. Automotive mechatronics and autonomous systems | |
400201. Automotive combustion and fuel engineering | |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | Department of Mechanical and Mechatronic Engineering |
Department of Agricultural, Civil and Environmental Engineering | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q0w38/engine-performance-and-emission-analysis-of-lpg-si-engine-with-the-aid-of-artificial-neural-network
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