2018
DOI: 10.1063/1.5052210
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Coupled interaction between unsteady flame dynamics and acoustic field in a turbulent combustor

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Cited by 51 publications
(24 citation statements)
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References 55 publications
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“…Godavarthi et al. (2018) used measures from recurrence networks to detect the synchronization transitions in a turbulent thermoacoustic system. Using recurrence plots and recurrence networks, Kasthuri et al.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Godavarthi et al. (2018) used measures from recurrence networks to detect the synchronization transitions in a turbulent thermoacoustic system. Using recurrence plots and recurrence networks, Kasthuri et al.…”
Section: Introductionmentioning
confidence: 99%
“…Using recurrence network analysis, Godavarthi et al (2017) and Gotoda et al (2017) showed that the topology of the recurrence network retains the structure of the reconstructed phase space for the different states of combustor operation. Godavarthi et al (2018) used measures from recurrence networks to detect the synchronization transitions in a turbulent thermoacoustic system. Using recurrence plots and recurrence networks, Kasthuri et al (2020) studied the recurrence properties of the slow-fast dynamics in the heat release rate oscillations of a bluff body stabilized combustor and the acoustic pressure oscillations in a model liquid rocket combustor during the occurrence of thermoacoustic instability.…”
Section: Introductionmentioning
confidence: 99%
“…The different operating conditions of a thermoacoustic combustor have been extensively studied in the literature both in laboratory conditions and model system data [67]. Measures based both on RPs and recurrence networks have been successfully applied to detect dynamical transitions between different regimes [11,70]. Prior to our analysis, we can already give a brief classification of the different dynamical states based on these insights.…”
Section: Resultsmentioning
confidence: 99%
“…Several studies have been carried out in this context, classifying dynamical states with fractal measures [10], employing complex networks [21,68] and RPs [11,[69][70][71]. Special emphasis will be given to the distinction of normal operating conditions (combustion noise) and an impending blowout situation.…”
Section: Application To Thermoacoustic Instability Time Seriesmentioning
confidence: 99%
“…The associated time evolutions of the phase difference ( φ p ,q (t)) between the acoustic pressure and HRR oscillations are also shown at different forcing frequencies. In thermoacoustic systems in general, the coupling between p andq is asymmetric and nonlinear (Godavarthi et al 2018). Thus, the quantification of the response of the coupling between p andq to external forcing is of particular significance.…”
Section: Effect Of Forcing On the Coupling Between The Acoustic And Hmentioning
confidence: 99%