Insights of transitions to thermoacoustic instability in inverse diffusion flame using multifractal detrended fluctuation analysis

The inverse diffusion flame (IDF) can experience thermoacoustic instability due to variations in power input or flow conditions. However, the dynamical transitions in IDF that lead to this instability when altering control parameters have not been thoroughly investigated. In this study, we explore the control parameters through two different approaches and employ multifractal detrended fluctuation analysis to characterize the transitions observed prior to the onset of thermoacoustic instability in the inverse diffusion flame. Our findings reveal a loss of multifractality near the region associated with thermoacoustic instability, which suggests a more ordered behavior. We determine that the singularity exponent, the width of the multifractal spectrum, and the Hurst exponent are reliable indicators of thermoacoustic instability and serve as effective classifiers of dynamical states in inverse diffusion flames.

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Publication Details

Journal
Physics of Fluids
Published
2025-08-01
DOI
https://doi.org/10.1063/5.0278336
Citations
1
Primary Topic
Complex Systems and Time Series Analysis
Type
article
Field-Weighted Citation Impact
3.13
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article

Insights of transitions to thermoacoustic instability in inverse diffusion flame using multifractal detrended fluctuation analysis

Swarnendu Sen, Somnath De, Achintya Mukhopadhyay, Sirshendu Mondal et al.
1 citations
Physics of Fluids
Complex Systems and Time Series Analysis
3.13
article

Insights of transitions to thermoacoustic instability in inverse diffusion flame using multifractal detrended fluctuation analysis

Swarnendu Sen, Somnath De, Achintya Mukhopadhyay, Sirshendu Mondal, Arijit Bhattacharya, Soham Bhattacharya
article en
1 citations

Abstract

The inverse diffusion flame (IDF) can experience thermoacoustic instability due to variations in power input or flow conditions. However, the dynamical transitions in IDF that lead to this instability when altering control parameters have not been thoroughly investigated. In this study, we explore the control parameters through two different approaches and employ multifractal detrended fluctuation analysis to characterize the transitions observed prior to the onset of thermoacoustic instability in the inverse diffusion flame. Our findings reveal a loss of multifractality near the region associated with thermoacoustic instability, which suggests a more ordered behavior. We determine that the singularity exponent, the width of the multifractal spectrum, and the Hurst exponent are reliable indicators of thermoacoustic instability and serve as effective classifiers of dynamical states in inverse diffusion flames.

Physics of FluidsVol. 37(8)
University of Engineering & Management (IN), National Institute of Technology Durgapur (IN), Jadavpur University (IN), Politecnico di Milano (IT), Indian Institute of Technology Kanpur (IN)
Openalex Percentile: Top 7%
Complex Systems and Time Series Analysis
3.13
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