Optimizing optical tomography for imaging air flow and turbulence

Abstract

The proposal by the PI is aimed at improving the imaging capablities of optical tomography systems, specifically a system dedicated to imaging fluid flows (including turbulence). Imaging of complex flow physics is exceptionally challenging, especially in the regime proposed by the PI. In this proposal, we will extend recent advances in computational imaging to airflow diagnostics and remote sensing. We will use information theory to unify previous approaches within a common framework, quantify the limitations of current methods, and develop new methods of phase and phase-space imaging. The results will give new insights into turbulence and create new engineering methods of characterizing it, controlling it, and directing energy through it.

Document Details

Document Type
DoD Grant Award
Publication Date
Feb 29, 2024
Source ID
FA95502310221

Entities

People

  • Jason W Fleischer

Organizations

  • Air Force Office of Scientific Research
  • Trustees of Princeton University
  • United States Air Force

Tags

Fields of Study

  • Physics

Readers

  • Computational Fluid Dynamics (CFD)
  • Distributed Systems and Data Platform Development
  • Image Processing and Computer Vision.

Technology Areas

  • Directed Energy
  • Space
  • Space - Hall-Effect Thruster