Data-driven analysis of relight variability of jet fuels induced by turbulence

• Published in: Combustion and flame Vol. 225; pp. 453 - 467
• Main Authors: Hassanaly, Malik, Tang, Yihao, Barwey, Shivam, Raman, Venkat
• Format: Journal Article
• Language: English
• Published: New York Elsevier Inc 01.03.2021; Elsevier BV
• Subjects: Aerodynamics; Aircraft; Aircraft engines; Algorithms; Aviation fuel; Clustering; Combustion chambers; Data clustering; Delay time; Discriminant analysis; Electric sparks; Entrainment; Failure analysis; Fluid dynamics; High-altitude relight; Ignition; Initial conditions; Jet engine fuels; Kernel-turbulence Interaction; Kernels; Large eddy simulation; Parameter uncertainty; Turbulence; Turbulent flow; Variability; Discriminant analysis; Kernel-turbulence Interaction; High-altitude relight; Large eddy simulation; Data clustering

For safety purposes, reliable reignition of aircraft engines in the event of flame blow-out is a critical requirement. Typically, an external ignition source in the form of a spark is used to achieve a stable flame in the combustor. However, such forced turbulent ignition may not always successfully...