Neural network based processing of thermal NDE data for corrosion detection

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1993
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Prabhu, D.
Winfree, W.
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Review of Progress in Quantitative Nondestructive Evaluation
Center for Nondestructive Evaluation

Begun in 1973, the Review of Progress in Quantitative Nondestructive Evaluation (QNDE) is the premier international NDE meeting designed to provide an interface between research and early engineering through the presentation of current ideas and results focused on facilitating a rapid transfer to engineering development.

This site provides free, public access to papers presented at the annual QNDE conference between 1983 and 1999, and abstracts for papers presented at the conference since 2001.

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Subsurface corrosion in aircraft structure is a major concern in lap joints and other joints. Small open gaps in the joints form regions where moisture can be trapped. The trapped water often produces a chemical environment in the regions which accelerates the corrosion process. Corrosion considerably reduces structural strength and load-bearing capacity of the structure. To ensure flight safety, it is imperative to detect subsurface corrosion as early as possible during aircraft maintenance operations. Since long downtimes of commercial aircraft translate to large operating costs for airline industries, it is desirable to develop techniques that can consistently and reliably detect corrosion by rapidly scanning the aircraft. Towards this goal, the thermal technique, which is a nondestructive, noncontacting technique capable of rapidly inspecting aircraft structures for defects such as disbonds, corrosion, and cracks is currently under development [1]. Also under parallel development are techniques such as ultrasonics, magneto-optics, shearography, electromagnetics, and radiography.

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Fri Jan 01 00:00:00 UTC 1993