Date of Award
9-2024
Document Type
Thesis
Degree Name
Master of Science in Optical Science and Engineering
Department
Department of Engineering Physics
First Advisor
Anthony L. Franz, PhD
Abstract
This study evaluates two temperature and emissivity separation techniques using data from an ABB MR304 FTIR and a Telops Mid-Wave Hyper-Cam on carbon-based samples heated by a high-energy laser. The established Linear Spectral Emissivity Constraint (LSEC) and Gray Body Emissivity (GBE) methods, as well as a new Robust Ratio Linear Fitting (RRF) method are assessed for their applicability in controlled lab environments. A spectral emissivity database aids in analyzing method performance. The RRF method shows promise but has limitations, particularly with low-temperature data and complex Hyper-Cam data. Despite these challenges, the RRF method offers potential for further refinement.
AFIT Designator
AFIT-ENP-MS-24-S-035
Recommended Citation
Manzardo, Mitchell A., "Investigating Temperature and Emissivity Separation Techniques Through the Use of a Spectral Emissivity Database" (2024). Theses and Dissertations. 8329.
https://scholar.afit.edu/etd/8329
Comments
An embargo was observed for posting this thesis.
The document is Distribution A: Approved for publlc release, Distribution Unlimited. PA Case number 88ABW-2024-0757