Dual-band infrared imaging to detect corrosion damage within airframes and concrete structures

Nancy DelGrande; Philip F. Durbin

doi:10.1117/12.171181

21 March 1994 Dual-band infrared imaging to detect corrosion damage within airframes and concrete structures

Nancy DelGrande, Philip F. Durbin

Proceedings Volume 2245, Thermosense XVI: An International Conference on Thermal Sensing and Imaging Diagnostic Applications; (1994) https://doi.org/10.1117/12.171181
Event: SPIE's International Symposium on Optical Engineering and Photonics in Aerospace Sensing, 1994, Orlando, FL, United States

Abstract

We are developing dual-band IR (DBIR) imaging and detection techniques to inspect airframes and concrete bridge decks for hidden corrosion damage. Using selective DBIR image ratios, we enhanced surface temperature contrast and removed surface emissivity noise associated with clutter. Our surface temperature maps depicted defect sites, which heat and cool at different rates than their surroundings. Our emissivity-ratio maps tagged and removed the masking effects of surface clutter. For airframe inspections, we used time-resolved DBIR temperature, emissivity-ratio and composite thermal inertia maps to locate corrosion-thinning effects within a flash-heated Boeing 737 airframe. Emissivity-ratio maps tagged and removed clutter sites from uneven paint, dirt and surface markers. Temperature and thermal inertia maps characterized defect sites, types, sizes, thicknesses, thermal properties and material-loss effects from airframe corrosion. For concrete inspections, we mapped DBIR temperature and emissivity-ratio patterns to better interpret surrogate delamination sites within naturally- heated, concrete slabs and removed the clutter mask from sand pile-up, grease stains, rocks and other surface objects.

Citation Download Citation

Nancy DelGrande and Philip F. Durbin "Dual-band infrared imaging to detect corrosion damage within airframes and concrete structures", Proc. SPIE 2245, Thermosense XVI: An International Conference on Thermal Sensing and Imaging Diagnostic Applications, (21 March 1994); https://doi.org/10.1117/12.171181

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