Results 21 to 30 of about 787,947 (227)
This paper investigates the simplifying assumptions used for deriving low order models of thermoacoustic instabilities and thermoacoustic intermittency in turbulent combustor.
Giacomo Bonciolini +3 more
semanticscholar +1 more source
Abstract Predictive functional control (PFC) is a straightforward and cheap model‐based technique for systematic control of well‐damped open‐loop processes. Nevertheless, its oversimplified design characteristics are often the cause of diminished efficacy in more challenging applications; processes involving lightly damped and/or unstable dynamics have
Muhammad Saleheen Aftab +1 more
wiley +1 more source
Cylindrical ducts with axial mean temperature gradient and mean flows are typical elements in rocket engines, can combustors, and afterburners. Accurate analytical solutions for the acoustic waves of the longitudinal and transverse modes within these ...
Jiaqi Nan, Jingxuan Li, Lijun Yang
doaj +1 more source
Neural ODE to model and prognose thermoacoustic instability [PDF]
Thermoacoustic instability in a reacting flow field is characterized by high amplitude pressure fluctuations driven by a positive coupling between the unsteady heat release rate and the acoustic field of the combustor. In a turbulent flow, the transition of a thermoacoustic system from a state of chaos to periodic oscillations occurs via a state of ...
Jayesh M. Dhadphale +3 more
openaire +4 more sources
Numerical investigation of the premixed V-flame stabilization and blowout [PDF]
Global warming and high fossil fuel consumption increase the application of the low-Nox burner with lean-premixed combustion. However, this type of combustion is more susceptible to thermoacoustic instabilities.
N. Nabatian
doaj +1 more source
Forecasting thermoacoustic instabilities in liquid propellant rocket engines using multimodal Bayesian deep learning [PDF]
We present a method that combines multiple sensory modalities in a rocket thrust chamber to predict impending thermoacoustic instabilities with uncertainties. This is accomplished by training an autoregressive Bayesian neural network model that forecasts
Ushnish Sengupta +3 more
semanticscholar +1 more source
This work introduces a method to detect and optimize the flame front boundary. A high‐speed camera was employed to continuously capture the flame images. By setting appropriate intensity thresholds, the impact noise can be eliminated from the image and the flame front boundary can be determined.
Lanzhou Gao +6 more
wiley +1 more source
Suppression of thermoacoustic instabilities by flame-structure interaction
We present here an experimental study of the influence of the aeroelastic coupling between the combustion chamber walls and the acoustic fluid field on the onset and development of thermoacoustic instabilities in stoichiometric propane-air premixed ...
M. Rubio-Rubio +4 more
semanticscholar +1 more source
The complex bursting oscillation and bifurcation mechanisms in coupling systems of different scales have been a hot spot domestically and overseas. In this paper, we analyze the bursting oscillation of a generalized Duffing–Van der Pol system with periodic excitation.
Youhua Qian +3 more
wiley +1 more source
Suppression of thermo-acoustic instabilities in horizontal Rijke tube using pulsating radial jets
Thermo-acoustic instability has been observed in gas turbines, rocket engines, and aero-engines. Acoustic perturbations grow and change the characteristics of the flow due to instability.
Nilaj N. Deshmukh +6 more
doaj +1 more source

