High-Speed In-Operando Hyperspectral Microscopy

Abstract

Metallized fuels and propellants offer several advantages including high thrust and energy density. To this additive manufacturing approaches can be applied to create a wide range of architectures that has increased and enhanced burning properties. At this point however, we are left with a highly Edisonian approach which could be aided with a better understanding of the fundamentals of how the microstructure can be manipulated to achieve desired effects. More specifically: a) How can we understand structure-function relationships through real-time characterization at the microscopic level, that can be used to inform and ultimately design better materials. b) What diagnostic tools should we employ for real time characterization that offer very high spatial and temporal resolution, temperature, and speciation. Here we propose to build a snapshot, high-speed hyperspectral microscope which leverages complimentary expertise from the PIs in order to provide a novel, critical tool towards design and diagnosis of composite combustion systems. The system uses two imaging arms in order to simultaneously capture a high-speed RGB video of the scene, a simultaneous temperature field, while providing spatially resolved spectra of the burning composites with a targeted 50 µs temporal, 1-5 nm spectral, and 1 µm spatial resolution respectively. This rapid screening instrument will be used to study the interplay between the thermally dynamic, and spectrally complex reactions of composites. This instrument will pride an unprecedented view of composite burning at the microscopic level and provide benchmarking data for model validation by others

Document Details

Document Type
DoD Grant Award
Publication Date
Feb 06, 2023
Source ID
N000142312283

Entities

People

  • Michael R. Zachariah

Organizations

  • Office of Naval Research
  • United States Navy
  • University of California Regents

Tags

Readers

  • Distributed Systems and Data Platform Development
  • Image Processing and Computer Vision.
  • Nanoscale Plasmonic Nanotechnology