Article

 

Angular velocimetry for fluid flows: an optical sensor using structured light and machine learning Public Deposited

https://scholar.colorado.edu/concern/articles/hm50tt125
Abstract
  • Most velocimetry approaches for fluid flows measure linear components of the velocity vector; yet, the angular velocity components, particularly at small scales in turbulent flows, also need to be resolved to study energy transfer and other important flow characteristics. Here, we detail an optical sensor approach to determine a component of the angular velocity vector. This approach uses beams of structured light and a machine learning-based analysis. We discuss the methodology to train the machine learning model and test it in experimentally validated simulations. This approach represents an interesting new direction for fluid flow velocimetry which may be extended to sense other flow parameters by selecting different light structures.

     

Creator
Date Issued
  • 2021
Academic Affiliation
Journal Title
Journal Issue/Number
  • 7
Journal Volume
  • 29
Last Modified
  • 2022-08-16
Resource Type
Rights Statement
DOI
ISSN
  • 1094-4087
Language

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