Recent developments in technological innovations in scramjet engines: A review

S Kumar, KM Pandey, KK Sharma - Materials Today: Proceedings, 2021 - Elsevier
This paper aims to review various challenges associated with various components used in
the scramjet engines along with various research that has been done in the field of scramjet …

Dynamics and diagnostics of flame-acoustic interactions

SR Chakravarthy, R Sampath… - Combustion science and …, 2017 - Taylor & Francis
Flame-acoustic interactions are witnessed in the context of combustion instability in gas
turbine combustors and other propulsion devices, such as rockets, besides confined …

Early detection of thermoacoustic instability in a solid rocket motor: A generative adversarial network approach with limited data

G Xu, B Wang, Y Guan, Z Wang, P Liu - Applied Energy, 2024 - Elsevier
Thermoacoustic instability (TAI) poses a significant challenge to the development of solid
rocket motor (SRM) and detecting early warning signals (EWS) for TAI is crucial. Deep …

Synchronization and chimeras in a network of four ring-coupled thermoacoustic oscillators

Y Guan, K Moon, KT Kim, LKB Li - Journal of Fluid Mechanics, 2022 - cambridge.org
We take a complex systems approach to investigating experimentally the collective
dynamics of a network of four self-excited thermoacoustic oscillators coupled in a ring. Using …

[HTML][HTML] Early detection of thermoacoustic instabilities in a cryogenic rocket thrust chamber using combustion noise features and machine learning

G Waxenegger-Wilfing, U Sengupta, J Martin… - … Journal of Nonlinear …, 2021 - pubs.aip.org
We present a data-driven method for the early detection of thermoacoustic instabilities.
Recurrence quantification analysis is used to calculate characteristic combustion features …

[HTML][HTML] 3d convolutional selective autoencoder for instability detection in combustion systems

T Gangopadhyay, V Ramanan, A Akintayo, PK Boor… - Energy and AI, 2021 - Elsevier
While analytical solutions of critical (phase) transitions in dynamical systems are abundant
for simple nonlinear systems, such analysis remains intractable for real-life dynamical …

A data-driven approach using machine learning for early detection of the lean blowout

VR Hasti, A Navarkar, JP Gore - Energy and AI, 2021 - Elsevier
A data-driven approach using machine learning is presented for the identification of the
critical flame location for the early detection of an incipient lean blowout (LBO) in a realistic …

Investigation of intermittent oscillations in a premixed dump combustor using time-resolved particle image velocimetry

R Sampath, SR Chakravarthy - Combustion and Flame, 2016 - Elsevier
The present work deals with time-resolved investigation of the flow field during acoustic self-
excitation by a lean premixed flame in a dump combustor. Simultaneous measurements of …

Early detection of thermoacoustic instabilities using hidden markov models

S Mondal, NF Ghalyan, A Ray… - Combustion Science …, 2019 - Taylor & Francis
This paper presents a dynamic data-driven method for early detection of thermoacoustic
instabilities in combustors based on short-length time series of sensor data, where the …

Dynamic mode decomposition of syngas (H2/CO) flame during transition to high-frequency instability in turbulent combustor

NA Baraiya, V Ramanan, B Nagarajan, CS Vegad… - Energy, 2023 - Elsevier
The present experimental study investigates the transition in syngas combustion dynamics
from low-to high-frequency thermo-acoustic instability obtained by continuously varying the …