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Detection and Removal of Tooth-Colored Composite Resin Using the Fluorescence-Aided Identification Technique

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Published on: July 27, 2022

Reference-free damage detection, localization, and quantification in composites.

Hyung Jin Lim¹, Hoon Sohn, Chul Min Yeum

¹Department of Civil and Environmental Engineering, Korea Advanced Institute of Science and Technology, 291 Daehak-Ro, Daejeon, 305-701, South Korea.

The Journal of the Acoustical Society of America

|June 8, 2013

Summary

This summary is machine-generated.

This study introduces a novel reference-free method to detect, locate, and quantify damage in composite structures. The technique works effectively even under varying temperatures, enhancing online monitoring capabilities.

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Area of Science:

Materials Science
Structural Health Monitoring
Non-Destructive Testing

Background:

Composite structures are susceptible to damage, necessitating effective monitoring techniques.
Existing methods often require baseline data, limiting their application in real-time scenarios.
Varying environmental conditions, such as temperature fluctuations, pose challenges for damage detection.

Purpose of the Study:

To develop a reference-free damage characterization technique for composite structures.
To identify, locate, and quantify damage without prior baseline data.
To assess the technique's effectiveness under varying temperature conditions.

Main Methods:

Damage is characterized using a damage index (m-value) based on damage size and A0 mode wavelength.
A feasible solution space for damage location and size is estimated without baseline data.
Damage estimates are refined using A0 mode group velocity information from pristine regions.

Main Results:

The proposed technique successfully identifies, locates, and quantifies damage in composite structures.
The method demonstrates effectiveness under varying temperature conditions.
Numerical and experimental tests validate the damage detection capabilities.

Conclusions:

A novel reference-free damage characterization technique has been successfully developed.
The technique offers a promising solution for online monitoring of composite structures.
The method's independence from baseline data and robustness to temperature variations are key advantages.