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Non-destructive Testing of Composite Materials/Structures
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Non-destructive Testing of Composite Materials/Structures

A special issue of Materials (ISSN 1996-1944). This special issue belongs to the section "Advanced Materials Characterization".

Deadline for manuscript submissions: closed (31 December 2021) | Viewed by 4498

Special Issue Editor

Prof. Dr. John S. Popovics

E-Mail Website
Guest Editor
Department of Civil & Environmental Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
Interests: wave propagation; vibration; ultrasonic testing; structural health monitoring; sensor technology; numerical simulation; non-linear material response; non-destructive evaluation; material characterization and measurements; match curing for concrete

Special Issue Information

Dear Colleagues,

Composite materials/structures are advancing in product efficiency, cost-effectiveness, and the development of superior specific properties (strength and modulus). There are increasing demands in their applications to load-carrying structures in aerospace, wind turbines, transportation, construction, medical equipment, and so on. Thus, robust and reliable non-destructive testing of composites materials/structures is essential to reduce safety concerns, as well as maintenance costs4 to minimize possibilities for process disruption and downtime. These factors attract interest from both academic researchers and industrial engineers.

The term ‘NDT’ covers a wide range of analytical techniques to inspect, test, or evaluate chemical/physical properties of a material, component, or system without causing damage. These include acoustic emission, ultrasonic testing, infrared thermography, terahertz testing, shearography, digital image correlation, and X-ray and neutron imaging.

This Special Issue will collect the most established non-destructive testing techniques for the detection and evaluation of defects/damage evolution in composites materials/structures.

Prof. Dr. John S. Popovics
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Materials is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Non-destructive evaluation
  • structural health monitoring
  • ultrasonic testing
  • defects
  • damage
  • detection
  • evaluation
  • numerical simulation

Published Papers (2 papers)

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Research

18 pages, 7730 KiB  
Article
Optimization of Nonlinear Lamb Wave Detection System Parameters in CFRP Laminates
by Zhenhua Yin, Ying Tie, Yuechen Duan and Cheng Li
Materials 2021, 14(12), 3186; https://0-doi-org.brum.beds.ac.uk/10.3390/ma14123186 - 09 Jun 2021
Cited by 4 | Viewed by 1781
Abstract
Carbon fiber reinforced polymer (CFRP) laminates, as unique multifunctional materials, are widely applied in various aircraft, such as airliners, fighter planes, and space shuttles. To ensure aircraft safety during the production and application of CFRP laminates, it is necessary to improve the accuracy [...] Read more.
Carbon fiber reinforced polymer (CFRP) laminates, as unique multifunctional materials, are widely applied in various aircraft, such as airliners, fighter planes, and space shuttles. To ensure aircraft safety during the production and application of CFRP laminates, it is necessary to improve the accuracy of nonlinear Lamb wave nondestructive testing to assess the damage in CFRP laminates caused by impact, high temperature, friction, corrosion, etc. In this study, the accuracy of nonlinear ultrasonic nondestructive testing was found to highly depend on the cycle number, output level and gain of the nonlinear ultrasonic detection system. Based on a single-factor experiment that considered the cycle number, output level, and gain of the amplifier as independent variables, a regression analysis was carried out on the fundamental wave amplitude value (A1) and second harmonic amplitude value (A2). Two response surface surrogate models were established to improve the accuracy of nonlinear Lamb wave nondestructive testing and to optimize the detection system parameters. The response surface models were verified via an analysis of variance (ANOVA), significance tests and an error statistical analysis. The results revealed the significant influence of these three factors on A1 and A2. Optimization of the response surface was achieved at eight cycles, an output level of 42 and a gain of 32 dB. Moreover, the nonlinear ultrasonic detection system achieved good operational stability, high accuracy and reliability under the above optimal parameter conditions. This approach provides scientific guidance for the accurate assessment of CFRP laminate damage. Full article
(This article belongs to the Special Issue Non-destructive Testing of Composite Materials/Structures)
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18 pages, 6072 KiB  
Article
Improvement in the Quantification of Foreign Object Defects in Carbon Fiber Laminates Using Immersion Pulse-Echo Ultrasound
by Nathaniel J. Blackman, David A. Jack and Benjamin M. Blandford
Materials 2021, 14(11), 2919; https://0-doi-org.brum.beds.ac.uk/10.3390/ma14112919 - 28 May 2021
Cited by 4 | Viewed by 2083
Abstract
This research presents a new technique using pulse echo ultrasound for sizing foreign objects within carbon fiber laminates. Carbon fiber laminates are becoming increasingly popular in a wide variety of industries for their desirable properties. It is not uncommon for manufacturing defects to [...] Read more.
This research presents a new technique using pulse echo ultrasound for sizing foreign objects within carbon fiber laminates. Carbon fiber laminates are becoming increasingly popular in a wide variety of industries for their desirable properties. It is not uncommon for manufacturing defects to occur within a carbon fiber laminates, causing waste, either in the discarding of failed parts or the overdesign of the initial part to account for these anticipated and undetected errors. One such manufacturing defect is the occurrence of a foreign object within the laminate. This defect will lead to a localized weakness within the laminate including, but not limited to, stress risers, delamination, and catastrophic failure. This paper presents a method to analyze high-resolution c-scan full waveform captured data to automatically capture the geometry of the foreign object with minimal user inputs without a-priori knowledge of the shape of the defect. This paper analyzes twelve samples, each a twelve-lamina carbon fiber laminate. Foreign objects are made from polytetrafluoroethylene (PTFE) measuring 0.05 mm (0.002 in.) thick and ranging in diameter from 12.7 mm (0.5 in) to 1.588 mm (0.0625 in), are placed within the laminates during fabrication at varying depths. The samples are analyzed with a custom high-resolution c-scan system and smoothing, and edge detection methods are applied to the collected c-scan data. Results are presented on the sizing of the foreign objects with an average error of 6% of the true area, and an average absolute difference in the estimation of the diameter of 0.1 mm (0.004 in), an improvement over recently presented ultrasonic methods by a factor of three. Full article
(This article belongs to the Special Issue Non-destructive Testing of Composite Materials/Structures)
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