Characterizing combustion dynamics of a swirl burner using wavelet transform

Alireza Ghasemi, J.B.W. Kok

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

In light of stricter emission regulations for aeroengines, the lean premixed combustion regime has received a renewed attention in recent years. This operation mode, however, is prone to thermoacoustic instabilities and requires careful consideration during the design process which involves the identification of frequencies of interest for a given burner. In this paper, the analysis of a detached eddy simulation (DES) of a prefilming airblast swirl burner is considered. Fast Fourier transform (FFT), Proper Orthogonal Decomposition (POD) and Wavelet transform are among the various techniques discussed and investigated in order to identify predominant frequencies in timeseries of variables of concern. The results highlight the strength of each approach and a comparison between the considered techniques is presented.

Original languageEnglish
Title of host publication28th International Congress on Sound and Vibration, ICSV 2022
Subtitle of host publicationSingapore 24-28 July 2022, Proceedings
PublisherRomanian Society of Acoustics
Pages775-781
Volume1
ISBN (Electronic)978-9-8118-5070-7
ISBN (Print)978-1-7138-6704-3
Publication statusPublished - 2022
Event28th International Congress on Sound and Vibration, ICSV 2022 - Singapore, Singapore
Duration: 24 Jul 202228 Jul 2022
Conference number: 28

Publication series

NameProceedings of the International Congress on Sound and Vibration
PublisherInternational Institute of Acoustics and Vibration (IIAV)
Number28
Volume2022
ISSN (Electronic)2329-3675

Conference

Conference28th International Congress on Sound and Vibration, ICSV 2022
Abbreviated titleICSV 2022
Country/TerritorySingapore
CitySingapore
Period24/07/2228/07/22

Keywords

  • Airblast atomizer
  • Non-premixed combustion
  • Proper orthogonal decomposition (POD)
  • Thermoacoustic instability
  • Wavelets

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