Paper
5 September 2000 Noncontact laser metrology with real-time detection and high-speed processing for material analysis
Yunlu Zou, Tin M. Aye, Gajendra D. Savant, Andrew A. Kostrzewski, Dai Hyun Kim, Charles G. Pergantis
Author Affiliations +
Abstract
This paper describes the development of real-time non-contact metrology based on holographic interferometry and neural network fringe analysis software to detect defects in composite materials. The object under inspection is illuminated by a high-power solid-state laser, and the light scattered from the material surface is recorded in real time using a double-exposure holographic interferometer, which can detect minute surface deformation caused by defects in the material. Thermal stimulation of the object creates a non- uniform time-varying material reaction, which causes surface deformation that is characteristic of the material's internal structure. This deformation in turn creates time-varying interference patterns, which are recorded by a real-time holographic interferometric system and displayed on the computer monitor through a CCD camera. The system allows real- time, in-depth non-contact inspection of composite materials used in aircraft and other military vehicles. A genetic algorithm has also been developed for fast data processing in a non-laboratory environment. The sophisticated neural network recognizes the types of defects at high speed.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yunlu Zou, Tin M. Aye, Gajendra D. Savant, Andrew A. Kostrzewski, Dai Hyun Kim, and Charles G. Pergantis "Noncontact laser metrology with real-time detection and high-speed processing for material analysis", Proc. SPIE 4035, Laser Radar Technology and Applications V, (5 September 2000); https://doi.org/10.1117/12.397799
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KEYWORDS
Nondestructive evaluation

Composites

Neural networks

Inspection

Holography

Holographic interferometry

Neurons

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