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 …

I. Introduction vailability of high performance computing resources with increased CPU
speed and efficient parallelization algorithms enable the use of high fidelity Large Eddy …

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 …

I. Introduction evelopment of alternative jet fuels from bio-derived sources is being exercised
in many countries to address climate change and energy security issues. These alternative …

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 …

Environmental regulations for controlling emissions and managing transitions from depleting
fossil fuels drive scientific research into the exploration of alternative energy sources. Air …

Sustainable aviation fuels (SAFs) have been identified as a method to reduce the aviation
sector's environmental impact through carbon mitigation. Current certification processes of …

Bluff-body stabilized turbulent premixed flames represent a challenging canonical
configuration for computational simulation and validation. Past simulation results from many …

View Video Presentation: https://doi. org/10.2514/6.2022-1111. vid Numerical simulations
are performed for hydrogen-fueled rotating detonation engine combustor under two different …