Machine Learning in Thermoacoustics

Lead Research Organisation: University of Cambridge
Department Name: Engineering


Thermoacoustic oscillations are a perpetual problem in aircraft and rocket engines. Unacceptably large oscillations often appear during full-scale engine tests, despite being absent during part-scale tests, leading to costly re-designs. The aim of this project is to combine experiments and machine learning so that a computer can build up a data-driven model of a rocket engine and use it to design out thermoacoustic oscillations.


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Studentship Projects

Project Reference Relationship Related To Start End Student Name
EP/N509620/1 01/10/2016 30/09/2022
2104493 Studentship EP/N509620/1 01/10/2018 30/09/2021 Maximilian Louis Croci