15 citations · 26 across the 6 of their papers we have counts for
6 papers
A reduced-order mean-field synchronization model for thermoacoustic systems
Rohan K. Nakade, Samarjeet Singh, Jayesh M. Dhadphale +1
The synchronization phenomena in thermoacoustic systems leading to oscillatory instability can effectively be modeled using Kuramoto oscillators. Such models consider the nonlinear…
Model adaptive phase space reconstruction
Jayesh M. Dhadphale, K. Hauke Kraemer, Maximilian Gelbrecht +3
Phase space reconstruction (PSR) methods allow for the analysis of low-dimensional data with methods from dynamical system theory, but their application to prediction models, like…
Mean-field synchronization model of turbulent thermoacoustic transitions
Samarjeet Singh, Amitesh Roy, Jayesh M. Dhadphale +2
Thermoacoustic instabilities observed in turbulent combustion systems have disastrous consequences and are notoriously challenging to model, predict and control. Here, we introduce…
Mitigation of limit cycle oscillations in a turbulent thermoacoustic system via delayed acoustic self-feedback
Ankit Sahay, Abhishek Kushwaha, Samadhan A. Pawar +3
We report the occurrence of amplitude death (AD) of limit cycle oscillations in a bluff body stabilized turbulent combustor through delayed acoustic self-feedback. Such feedback co…
Mean-field synchronization model for open-loop, swirl controlled thermoacoustic system
Samarjeet Singh, Ankit Kumar Dutta, Jayesh M. Dhadphale +3
Open-loop control is known to be an effective strategy for controlling self-excited thermoacoustic oscillations in turbulent combustors. In this study, we investigate the suppressi…
Neural ODE to model and prognose thermoacoustic instability
Jayesh Dhadphale, Vishnu R. Unni, Abhishek Saha +1
In reacting flow systems, thermoacoustic instability characterized by high amplitude pressure fluctuations, is driven by a positive coupling between the unsteady heat release rate…