Modeling radial turbine performance under pulsating flow by machine learning method
This work presents the development and application of a machine learning model to predict the unsteady performance of a turbocharger radial turbine subject to on-engine pulsating flow conditions. The model proposed, based on a fully connected neural network, predicts the instantaneous turbine torque...
Main Authors: | Roberto Mosca, Marco Laudato, Mihai Mihaescu |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2022-12-01
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Series: | Energy Conversion and Management: X |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2590174522001234 |
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