ON THE USE OF MACHINE LEARNING TO CLASSIFY LAMINAR SEPARATION BUBBLES

Jared Kerestes, Christopher Marks, Mitch Wolff, John Clark

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publicationTurbomachinery
Subtitle of host publicationDeposition, Erosion, Fouling, and Icing; Design Methods and CFD Modeling for Turbomachinery; Ducts, Noise and Component Interactions
PublisherAmerican Society of Mechanical Engineers (ASME)
ISBN (Electronic)9780791888872
DOIs
StatePublished - 2025
Event70th ASME Turbo Expo 2025: Turbomachinery Technical Conference and Exposition, GT 2025 - Memphis, United States
Duration: Jun 16 2025Jun 20 2025

Publication series

NameProceedings of the ASME Turbo Expo
Volume11

Conference

Conference70th ASME Turbo Expo 2025: Turbomachinery Technical Conference and Exposition, GT 2025
Country/TerritoryUnited States
CityMemphis
Period6/16/256/20/25

ASJC Scopus Subject Areas

  • General Engineering

Keywords

  • clustering
  • computational fluid dynamics
  • laminar separation bubbles
  • large-eddy simulation
  • machine learning

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