The use of lean premixed flames to control combustion temperature and limit nitric oxides
(NO x) formation is a common practice in all the applications of land-based gas turbines …

The lean blowout is the most critical issue in lean premixed gas turbine combustion.
Decades of research into LBO prediction methods have yielded promising results …

Due to the introduction of alternative aviation fuels, new methods and models are necessary
which have the capability to predict the performance of combustors dependent on the fuel …

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 …

Understanding combustion and flame stabilization of alternate fuels is necessary to
establish their use in mainstream aviation. An Eulerian-Lagrangian (EL) large eddy …

A deep learning-based method for denoising and detecting the gas turbine engine spray
droplets in the light-scattered image (Mie scattering) is proposed for the first time. A modified …

Predictive high-fidelity simulations of turbulent spray combustion must capture the combined
effects of complex chemistry, multiphase evaporating flow and spray-flame interactions to …

Abstract Large Eddy Simulations (LES) are performed to compute the sensitivity of a
conventional (A-2) and an alternate bio-jet (C-1) fuel to Lean Blowout (LBO). A realistic …

The turbulent flow field in a practical gas turbine combustor is very complex because of the
interactions between various flows resulting from components like multiple types of swirlers …

Large eddy simulation (LES) of constant adiabatic temperature, hydrogen-piloted, turbulent
lean premixed methane/air jet flames with varying amounts of CO 2 addition are reported …