Issue |
MATEC Web Conf.
Volume 264, 2019
2nd International Conference on Composite Material, Polymer Science and Engineering (CMPSE2018)
|
|
---|---|---|
Article Number | 01007 | |
Number of page(s) | 5 | |
Section | Mechanical Properties (Corrosion, Damage Analysis, Strength and Wear) | |
DOI | https://doi.org/10.1051/matecconf/201926401007 | |
Published online | 30 January 2019 |
NDE Detection and Characterization of Damage in Honeycomb Sandwich Composites
1
Department of Automotive Eng., Woosuk University 490, Hujung-ri, Samrae-up, Wanju-kun,
Chonbuk,
565-701,
Korea
2
Division of Mech. System Eng., Chonbuk Natl. University, Duckjin-ku,
Jeonbuk,
561-756,
Korea
3
Dept. of Manufacturing Design Eng., Jeonju University, Wansan-ku, Jeonju,
Jeonbuk,
560-759,
Korea
4
Dept. of Mechanical and Automotive Engineering, Songwon University,
73 Sonarm-ro, Namgu,
Gwangju
502-210,
Korea
5
Center for Non-destructive Evaluation, Iowa State University,
Ames,
Iowa
50011,
USA
a Corresponding author: khim@woosuk.ac.kr
This study deals with a non-destructive evaluation technique for detecting defects in composite panels. In this non-destructive evaluation technique, various low-frequency techniques are applied such as a tapping technology. Another terahertz wave application will be utilized. In particular, the tapping technique is utilized in order to evaluate the characteristics of the honeycomb member based on the hysteresis effect analysis. Here, the area surrounded by the hysteresis loop in the force-displacement curve is related to the increased internal friction loss that is the cause of the energy absorption absorbed by the composite member after the load is applied. The loop area where the composite member was damaged was well agreed with the damage level. Artificial defects were manufactured on the surface of honeycomb sandwich composite panels. An NDE technique was proposed in order to detect defects by using terahertz waves and was discussed for tuning the practical use.
© The Authors, published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.