A coupled numerical approach is investigated for predicting combustion instability limit cycle characteristics when the combustor contains a long flame. The test case is the ORACLES combustor, with a turbulent premixed flame a metre long: it exhibits limit cycle oscillations at ∼ 50 Hz and normalised velocity amplitude ahead of the flame of ∼ 0.29. The approach obtains the flame response to acoustic excitation using Large Eddy Simulations (LES), and couples this with a low-order wave-based network representation for the acoustic waves within the combustor. The flame cannot be treated as acoustically compact; the spatial distribution of both its response and the subsequent effect on the acoustics must be accounted for. The long flame is unif...
LLean premixed combustion systems, attractive for low NOx performance, are inherently susceptible to...
Thermoacoustic instabilities are a serious problem for lean premixed combustion systems. Due to diff...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2014.Ca...
AbstractAccurate prediction of limit cycle oscillations resulting from combustion instability has be...
Accurate prediction of limit cycle oscillations resulting from combustion instability has been a lon...
This work predicts the evolution of self-excited thermo-acoustic instabilities in a gas turbine mode...
This thesis numerically predicts thermoacoustic instability in two typical gas turbine combustors. I...
In this work comprehensive experimental and numerical studies incorporating the most relevant physic...
The paper examines the combined effects of several interacting thermo-acoustic and hydrodynamic inst...
Thermo-acoustic analysis is crucial for a successful development of new gas turbine combustion syste...
This paper presents four experimental methods for the evaluation of growth rates of combustion insta...
Accurately predicting the thermoacoustic modes of a combustor depends upon knowledge of the thermody...
The forced flame responses in a pressurized gas turbine combustor are predicted using numerical reac...
Large-Eddy Simulation (LES) is combined with advanced System Identification (SI) to simultaneously i...
AbstractCombustion instabilities represent a long known problem in combustion technology. The enviro...
LLean premixed combustion systems, attractive for low NOx performance, are inherently susceptible to...
Thermoacoustic instabilities are a serious problem for lean premixed combustion systems. Due to diff...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2014.Ca...
AbstractAccurate prediction of limit cycle oscillations resulting from combustion instability has be...
Accurate prediction of limit cycle oscillations resulting from combustion instability has been a lon...
This work predicts the evolution of self-excited thermo-acoustic instabilities in a gas turbine mode...
This thesis numerically predicts thermoacoustic instability in two typical gas turbine combustors. I...
In this work comprehensive experimental and numerical studies incorporating the most relevant physic...
The paper examines the combined effects of several interacting thermo-acoustic and hydrodynamic inst...
Thermo-acoustic analysis is crucial for a successful development of new gas turbine combustion syste...
This paper presents four experimental methods for the evaluation of growth rates of combustion insta...
Accurately predicting the thermoacoustic modes of a combustor depends upon knowledge of the thermody...
The forced flame responses in a pressurized gas turbine combustor are predicted using numerical reac...
Large-Eddy Simulation (LES) is combined with advanced System Identification (SI) to simultaneously i...
AbstractCombustion instabilities represent a long known problem in combustion technology. The enviro...
LLean premixed combustion systems, attractive for low NOx performance, are inherently susceptible to...
Thermoacoustic instabilities are a serious problem for lean premixed combustion systems. Due to diff...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2014.Ca...