44 citations · 90 across the 3 of their papers we have counts for
5 papers
Machine Learning Methods for the Design and Operation of Liquid Rocket Engines -- Research Activities at the DLR Institute of Space Propulsion
Günther Waxenegger-Wilfing, Kai Dresia, Jan Deeken +1
The last years have witnessed an enormous interest in the use of artificial intelligence methods, especially machine learning algorithms. This also has a major impact on aerospace…
Early Detection of Thermoacoustic Instabilities in a Cryogenic Rocket Thrust Chamber using Combustion Noise Features and Machine Learning
Günther Waxenegger-Wilfing, Ushnish Sengupta, Jan Martin +4
Combustion instabilities are particularly problematic for rocket thrust chambers because of their high energy release rates and their operation close to the structural limits. In t…
Multidisciplinary Design Optimization of Reusable Launch Vehicles for Different Propellants and Objectives
Kai Dresia, Simon Jentzsch, Günther Waxenegger-Wilfing +4
Identifying the optimal design of a new launch vehicle is most important since design decisions made in the early development phase limit the vehicles' later performance and determ…
A Reinforcement Learning Approach for Transient Control of Liquid Rocket Engines
Günther Waxenegger-Wilfing, Kai Dresia, Jan Christian Deeken +1
Nowadays, liquid rocket engines use closed-loop control at most near steady operating conditions. The control of the transient phases is traditionally performed in open-loop due to…
Heat Transfer Prediction for Methane in Regenerative Cooling Channels with Neural Networks
Günther Waxenegger-Wilfing, Kai Dresia, Jan Christian Deeken +1
Methane is considered being a good choice as a propellant for future reusable launch systems. However, the heat transfer prediction for supercritical methane flowing in cooling cha…