Improved Wall Temperature Prediction for the LUMEN Rocket Combustion Chamber with Neural Networks

Improved Wall Temperature Prediction for the LUMEN Rocket Combustion Chamber with Neural Networks

Accurate calculations of the heat transfer and the resulting maximum wall temperature are essential for the optimal design of reliable and efficient regenerative cooling systems. However, predicting the heat transfer of supercritical methane flowing in cooling channels of a regeneratively cooled roc...

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Bibliographic Details
Main Authors: Kai Dresia, Eldin Kurudzija, Jan Deeken, Günther Waxenegger-Wilfing
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Aerospace
Subjects:
neural network
surrogate model
heat transfer
machine learning
LUMEN
rocket engine
Online Access:https://www.mdpi.com/2226-4310/10/5/450

Internet

https://www.mdpi.com/2226-4310/10/5/450

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