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.
Organisations
Studentship Projects
Project Reference | Relationship | Related To | Start | End | Student Name |
---|---|---|---|---|---|
EP/N509620/1 | 30/09/2016 | 29/09/2022 | |||
2104493 | Studentship | EP/N509620/1 | 30/09/2018 | 29/09/2021 | Maximilian Louis Croci |