Prediction of thermoacoustic instabilities in a premixed combustor based on FFT-based dynamic characterization

Sudeepta Mondal, Chandrachur Bhattacharya, Pritthi Chattopadhyay, Achintya Mukhopadhyay, Asok Ray

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

The classification of a combustion process into stable and unstable regimes is essential for the design of combustor systems, which include their monitoring and control mechanisms; an unsupervised method for monitoring of combustion instabilities is essential from these perspectives. The traditional methods of combustion stability assessment are often computationally intensive and thus may not be suitable for real-time monitoring and control. This paper proposes a fast Fourier transform (FFT)-based method for dynamic characterization of combustion instabilities. The proposed method has been tested on experimental data of pressure time-series from a lean-premixed swirl-stabilized combustor, and the results have been compared with the well-known method of visibility graph.

Original languageEnglish (US)
Title of host publication53rd AIAA/SAE/ASEE Joint Propulsion Conference, 2017
PublisherAmerican Institute of Aeronautics and Astronautics Inc, AIAA
ISBN (Print)9781624105111
DOIs
StatePublished - Jan 1 2017
Event53rd AIAA/SAE/ASEE Joint Propulsion Conference, 2017 - Atlanta, Georgia
Duration: Jul 10 2017Jul 12 2017

Publication series

Name53rd AIAA/SAE/ASEE Joint Propulsion Conference, 2017

Other

Other53rd AIAA/SAE/ASEE Joint Propulsion Conference, 2017
CountryGeorgia
CityAtlanta
Period7/10/177/12/17

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Fingerprint Dive into the research topics of 'Prediction of thermoacoustic instabilities in a premixed combustor based on FFT-based dynamic characterization'. Together they form a unique fingerprint.

Cite this