Journal article
Defect Detection via Instrumented Impact in Thick-Sectioned Laminate Composites
Journal of nondestructive evaluation, v 36(3)
01 Sep 2017
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
The application of impact-based nondestructive inspection to thick-sectioned laminate composite parts, although widely reported, is still hampered by a number of challenges. In this article, microphone-recorded impact response variations are associated with delaminations within a variety of test specimens, building in complexity from metal to composite simulant and finally toward the application of the method to hard armor protective inserts. Defective and defect-free states are verified a priori by both operator quality inspections and X-ray computed tomography. Potential delamination-discriminating metrics are determined by signal processing of vibroacoustic data. Prior reported "tap test" metrics that focus on impact force-time histories are shown to be insufficient for thick-sections laminates. The empirical results reported herein, additionally supported by simulations, suggest that large defects may be detectible via a frequency content analysis. Method limitations, potential confounds, and the extension to the case of smaller defects is discussed.
Metrics
Details
- Title
- Defect Detection via Instrumented Impact in Thick-Sectioned Laminate Composites
- Creators
- Shane Esola - Drexel UniversityIvan Bartoli - Drexel UniversitySuzanne E. Horner - United States Department of the ArmyJames Q. Zheng - United States Department of the ArmyAntonios Kontsos - Drexel University
- Publication Details
- Journal of nondestructive evaluation, v 36(3)
- Publisher
- Springer Nature
- Number of pages
- 18
- Grant note
- W91CRB-13-P-0057 / U.S. Army Program Executive Office-Soldier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Civil, Architectural, and Environmental Engineering; Mechanical Engineering and Mechanics
- Web of Science ID
- WOS:000408106300002
- Scopus ID
- 2-s2.0-85020253410
- Other Identifier
- 991019168455004721
UN Sustainable Development Goals (SDGs)
This publication has contributed to the advancement of the following goals:
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Materials Science, Characterization & Testing