Version 1
: Received: 4 August 2024 / Approved: 5 August 2024 / Online: 6 August 2024 (06:29:32 CEST)
How to cite:
Solodov, I.; Ehrler, J.; Littner, L.; Kreutzbruck, M. Local Defect Resonance: A Wild Card for NDT and Defect Imaging in Composites. Preprints2024, 2024080346. https://doi.org/10.20944/preprints202408.0346.v1
Solodov, I.; Ehrler, J.; Littner, L.; Kreutzbruck, M. Local Defect Resonance: A Wild Card for NDT and Defect Imaging in Composites. Preprints 2024, 2024080346. https://doi.org/10.20944/preprints202408.0346.v1
Solodov, I.; Ehrler, J.; Littner, L.; Kreutzbruck, M. Local Defect Resonance: A Wild Card for NDT and Defect Imaging in Composites. Preprints2024, 2024080346. https://doi.org/10.20944/preprints202408.0346.v1
APA Style
Solodov, I., Ehrler, J., Littner, L., & Kreutzbruck, M. (2024). Local Defect Resonance: A Wild Card for NDT and Defect Imaging in Composites. Preprints. https://doi.org/10.20944/preprints202408.0346.v1
Chicago/Turabian Style
Solodov, I., Linus Littner and Marc Kreutzbruck. 2024 "Local Defect Resonance: A Wild Card for NDT and Defect Imaging in Composites" Preprints. https://doi.org/10.20944/preprints202408.0346.v1
Abstract
The review considers physics and some applications of a new approach that promises to be a breakthrough in efficiency and instrumentation of various methods for nondestructive testing (NDT) of composites. The approach is based on frequency-selective properties of defects which fall into resonance (Local Defect Resonance (LDR)) at certain frequencies. An activation of LDR enables to route the input acoustic energy directly to the defect that dramatically increases its vibration amplitude and thus facilitates defect-selective imaging, rises efficiencies of various derivative acoustic NDT methods (nonlinear, acousto-thermal) and enables to develop some new methodologies, like Resonant Air-Coupled Emission (RACE), machine and remote imaging.
Keywords
composite defects; local defect resonance; resonance acoustic emission
Subject
Engineering, Aerospace Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
