[HTML][HTML] Advancements on the use of Filtered Rayleigh Scattering (FRS) with Machine learning methods for flow distortion in Aero-Engine intakes
In-flight measurements of aerodynamic quantities are a requirement to ensure the correct
scaling of Reynolds and Mach number and for the airworthiness certification of an aircraft …
scaling of Reynolds and Mach number and for the airworthiness certification of an aircraft …
Deep learning-based image segmentation for instantaneous flame front extraction
RM Strässle, F Faldella, U Doll - Experiments in Fluids, 2024 - Springer
This paper delves into the methodology employed in examining lean premixed turbulent
flame fronts extracted from Planar Laser Induced Fluorescence (PLIF) images at elevated …
flame fronts extracted from Planar Laser Induced Fluorescence (PLIF) images at elevated …
Towards Ultra-Narrowband and Wavelength-Agile Burst-Mode Molecular Filtered Rayleigh Scattering
AM Braun, MN Slipchenko, NS Rodrigues… - Laser Applications to …, 2024 - opg.optica.org
This work investigates the feasibility and performance of an ultra-narrowband and a rapidly
wavelength-tunable burst-mode filtered Rayleigh scattering (FRS) system for single-or multi …
wavelength-tunable burst-mode filtered Rayleigh scattering (FRS) system for single-or multi …
Towards time-resolved multi-property measurements by single-frequency FRS
U Doll, R Kapulla, M Dues, J Steinbock, S Melnikov… - 2024 - dspace.lib.cranfield.ac.uk
The filtered Rayleigh scattering technique (FRS), extended by the method of frequency
scanning, has historically been limited to time-averaged multi-property flow measurements …
scanning, has historically been limited to time-averaged multi-property flow measurements …