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The use of neural network algorithms for modeling injection doses of modern fuel injectors
| 1 | Faculty of Mechanical Engineering and Mechatronics, West Pomeranian University of Technology, Poland |
CORRESPONDING AUTHOR
Karol Franciszek Abramek
Faculty of Mechanical Engineering and Mechatronics, West Pomeranian University of Technology, Piastow 19, 70-310, Szczecin, Poland
Faculty of Mechanical Engineering and Mechatronics, West Pomeranian University of Technology, Piastow 19, 70-310, Szczecin, Poland
Submission date: 2021-03-05
Final revision date: 2021-05-11
Acceptance date: 2021-05-21
Online publication date: 2021-05-25
Publication date: 2021-07-01
Combustion Engines 2021,185(2), 10–14
KEYWORDS
TOPICS
ABSTRACT
The article presents the possibilities of using artificial intelligence methods to model the injection doses of a modern Common Rail (CR) fuel injector. The presented neural network solution belongs to the experimental models known as black boxes in mechatronics. The backpropagation algorithm and its Levenberg-Marquardt expansion were used for the simulation. The analysis showed that there is a good match between the measurements and the computational model. The proposed solution can be used in the processes of diagnosing not only elements of the injection equipment, but also the internal combustion engine. The paper presents the construction and operation of fuel injectors and the important role of precision pairs work.
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The scientific journal is financed under the Agreement 185/WCN/2019/1 from the funds of the Minister of Science and Higher Education
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