Variable Valve Timing Scheduling in a 4-Stroke Internal Combustion Cylinder Utilizing Artificial Neural Networks
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
Publication date: 2017-09-03
Corresponding author
Sepehr Bapiri
Istanbul Technical University, Faculty of Mechanical Engineering, Maslak, 34467 Sariyer/Istanbul, Turkey
Istanbul Technical University, Faculty of Mechanical Engineering, Maslak, 34467 Sariyer/Istanbul, Turkey
Adv. Sci. Technol. Res. J. 2017; 11(3):114-121
KEYWORDS
TOPICS
Computer Modeling and SimulationsApplication of softwareMachinery, technology and equipmentScientific and technical researchOthers
ABSTRACT
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.
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