34 citations · 34 across the 3 of their papers we have counts for
4 papers · 1 filter
Forecasting Thermoacoustic Instabilities in Liquid Propellant Rocket Engines Using Multimodal Bayesian Deep Learning
Ushnish Sengupta, Günther Waxenegger-Wilfing, Jan Martin +2
The 100 MW cryogenic liquid oxygen/hydrogen multi-injector combustor BKD operated by the DLR Institute of Space Propulsion is a research platform that allows the study of thermoaco…
Simultaneous boundary shape estimation and velocity field de-noising in Magnetic Resonance Velocimetry using Physics-informed Neural Networks
Ushnish Sengupta, Alexandros Kontogiannis, Matthew P. Juniper
Magnetic resonance velocimetry (MRV) is a non-invasive experimental technique widely used in medicine and engineering to measure the velocity field of a fluid. These measurements a…
A data-driven kinematic model of a ducted premixed flame
Hans Yu, Matthew P. Juniper, Luca Magri
Reduced-order models of flame dynamics can be used to predict and mitigate the emergence of thermoacoustic oscillations in the design of gas turbine and rocket engines. This proces…
Sensitivity of the Rayleigh criterion in thermoacoustics
Luca Magri, Matthew P. Juniper, Jonas P. Moeck
Thermoacoustic instabilities are one of the most challenging problems faced by gas turbine and rocket motor manufacturers. The key instability mechanism is described by the {\it Ra…