Machine Learning in Thermoacoustics

Lead Research Organisation: University of Cambridge
Department Name: Engineering

Abstract

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.

Publications

10 25 50

Studentship Projects

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