(DURIP) 4D DEEP LEARNING LASER ABSORPTION IMAGING SYSTEM

Abstract

Multi-dimensional, time-resolved, and quantitative imaging systems suitable to combustion environments are essential to current and future Air Force propulsion systems development, particularly high-pressure systems. The primary function of the proposed equipment is to enhance a novel four-dimensional, quantitative imaging technique for species and temperature in high-pressure reacting flows, up to 100 atm. The imaging system will leverage ongoing development of deep-learning-based reconstruction algorithms to enhance both the temporal and spatial resolution of the novel laser absorption imaging (LAI) technique currently being developed under AFOSR support. Moreover, the completed system can be used to provide spectrally, spatially, and temporally rich datasets from several currently-funded Air Force projects. We will combine this novel imaging system and high-pressure spectroscopic strategy for simultaneous measurements of both flame structure and quantitative thermochemistry (temperature, species concentrations) at supercritical conditions (greater than 50 atm), providing unique capability that does not exist with current diagnostic methods. The camera system proposed here provides critical improvement in frame rate and reduces projection angles necessary to yield the temporal resolution (kHz) and spatial resolution (sub-100 micron) relevant to canonical turbulent flames for airbreathing and rocket propulsion systems. Utilization of the proposed system will improve understanding of the interactions between chemistry and transport phenomena in high-pressure flames, benefiting both the development of more efficient engineering devices and the advancement and refinement of numerical models.

Document Details

Document Type
DoD Grant Award
Publication Date
Mar 07, 2023
Source ID
FA95502110467

Entities

People

  • R. Mitchell Spearrin

Organizations

  • Air Force Office of Scientific Research
  • United States Air Force
  • University of California, Los Angeles

Tags

Fields of Study

  • Physics

Readers

  • Combustion science or combustion engineering.
  • Distributed Systems and Data Platform Development
  • Medical Imaging.

Technology Areas

  • AI & ML
  • Directed Energy