Variable Valve Timing Scheduling in a 4-Stroke Internal Combustion Cylinder Utilizing Artificial Neural Networks
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Ukryj
1
Istanbul Technical University, Faculty of Mechanical Engineering, Maslak, 34467 Sariyer/Istanbul, Turkey
2
Department of Mechanical Engineering, South Tehran Branch, 1584743311, Islamic Azad University, Tehran, Iran
Data publikacji: 03-09-2017
Autor do korespondencji
Sepehr Bapiri
Istanbul Technical University, Faculty of Mechanical Engineering, Maslak, 34467 Sariyer/Istanbul, Turkey
Adv. Sci. Technol. Res. J. 2017; 11(3):114-121
SŁOWA KLUCZOWE
DZIEDZINY
STRESZCZENIE
The apparently simple structure of a four-stroke internal combustion cylinder belies the complicated problem of optimizing valve operation in response to a change in crankshaft rotation speed. The objective of this study was to determine the cylinder pressure for valve event angles in order to determine the optimal strategy for the timing of valve events when independently-actuated valves are available. In this work, an artificial neural network is applied to create a prediction matrix to anticipate the best variable valve timing approach according to rotation speed.