Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
5.2
3.4
Journals
Materials
Special Issues
Non-Destructive Evaluation of Composite Materials
materials-logo
Submit to Materials Review for Materials Propose a Special Issue

Journal Menu

► Journal Menu

Journal Browser

► Journal Browser
share announcement

Non-Destructive Evaluation of Composite Materials

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

Deadline for manuscript submissions: closed (27 April 2022) | Viewed by 9260

Special Issue Editor

Prof. Dr. Antonio Pantano

E-Mail Website
Guest Editor
Dipartimento di Ingegneria, Università degli Studi di Palermo, 90128 Palermo, Italy
Interests: computational mechanics; composite materials; mechanical design; numerical methods for engineering; mechanical engineering aspects of micro/nanoscale engineering; non-destructive evaluation; wind turbines; biomimetic
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The production of composite materials is growing very rapidly, and it is expected to continue to increase at a rate of between 10 and 13 percent over the next few years. The industrial sectors leading the current level of growth in composite component manufacturing are engineering (automobile, aerospace, naval), civil, wind, sports and medical.

An even faster development in the use of polymer composites can be enhanced by non-destructive evaluation (NDE) techniques that can verify properties, determine structural integrity, monitor performance over time and test the quality of the products to ensure that their specifications are met. 

Composites are characterized by manufacturing techniques such as spray lay-up, filament winding, bag moulding, pultrusion, hand lay-up, injection moulding, resin transfer moulding and compression moulding, which can cause the formation of different types of defects and flaws in terms of porosity, delamination, air bubbles, cracks, blowholes and inclusion of foreign bodies in the matrix. Moreover, defects in composite structures can form during service, in most cases due to impacts and fatigue.

The non-destructive techniques capable of detecting defects are numerous, for example: ultrasonic, thermography, acoustic emission, eddy current, X-ray, shearography, dielectric techniques, and variation-damping method.

In this Special Issue, modern trends on the non-destructive evaluation of composite materials, including all emerging techniques and applications in the non-destructive testing of composites, are highlighted and discussed.

It is my pleasure to invite you to submit a manuscript for this Special Issue. Full papers, communications and reviews are all welcome.

Prof. Dr. Antonio Pantano
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
  • non-destructive testing
  • composite
  • ultrasonic
  • thermography
  • acoustic emission
  • eddy current
  • shearography
  • x-ray
  • dielectric techniques
  • variation-damping method

Published Papers (5 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

17 pages, 9444 KiB  
Article
Damage Characterization of Carbon Fiber Composite Pressure Vessels Based on Modal Acoustic Emission
by Peng Jiang, Xiaodong Liu, Wei Li, Fuping Guo, Chuan Hong, Yubin Liu and Chang Yang
Materials 2022, 15(14), 4783; https://0-doi-org.brum.beds.ac.uk/10.3390/ma15144783 - 08 Jul 2022
Cited by 3 | Viewed by 1760
Abstract
This study characterized the damage characteristics of carbon fiber composite pressure vessels by the modal acoustic emission (MAE) method. The study showed how to use the extracted damage modal features and established MAE parameters to determine the damage mode of composite pressure vessels. [...] Read more.
This study characterized the damage characteristics of carbon fiber composite pressure vessels by the modal acoustic emission (MAE) method. The study showed how to use the extracted damage modal features and established MAE parameters to determine the damage mode of composite pressure vessels. First, the A0 and S0 Lamb modes of the AE signal were split through mode separation, and the time window was selected to establish the MAE characteristic parameters. Subsequently, based on the MAE parameters and the damage mode characteristics established from single damage experiments, a damage mode discrimination method was established. A bending test of carbon fiber composite laminates proved that the modal separation method and the MAE parameters establishment are reasonable and effective. The results from the hydraulic test of the graded loading performed on 20 MPa carbon fiber composite pressure vessels showed the accuracy of the damage mode discrimination method, and the damage state of the pressure vessel could be analyzed using the fiber fracture damage threshold according to the MAE parameters. Full article
(This article belongs to the Special Issue Non-Destructive Evaluation of Composite Materials)
►▼ Show Figures

Figure 1

15 pages, 3719 KiB  
Article
Binarization Mechanism Evaluation for Water Ingress Detectability in Honeycomb Sandwich Structure Using Lock-In Thermography
by Yoonjae Chung, Ranjit Shrestha, Seungju Lee and Wontae Kim
Materials 2022, 15(6), 2333; https://0-doi-org.brum.beds.ac.uk/10.3390/ma15062333 - 21 Mar 2022
Cited by 7 | Viewed by 2107
Abstract
The growing use of composite honeycomb structures in several industries including aircraft has demonstrated the need to develop effective and efficient non-destructive evaluation methods. In recent years, active thermography has attracted great interest as a reliable technology for non-destructive testing and evaluation of [...] Read more.
The growing use of composite honeycomb structures in several industries including aircraft has demonstrated the need to develop effective and efficient non-destructive evaluation methods. In recent years, active thermography has attracted great interest as a reliable technology for non-destructive testing and evaluation of composite materials due to its advantages of non-contact, non-destructive, full-area coverage, high speed, qualitative, and quantitative testing. However, non-uniform heating, low spatial resolution, and ambient environmental noise make the detection and characterization of defects challenging. Therefore, in this study, lock-in thermography (LIT) was used to detect water ingress into an aircraft composite honeycomb sandwich structure, and the phase signals were binarized through the Otsu algorithm. A square composite honeycomb with dimensions of 210 mm × 210 mm along with 16 different defective areas of various sizes in groups filled with water by 25%, 50%, 75%, and 100% of the cell volume was considered. The sample was excited at multiple modulation frequencies (i.e., 1 Hz to 0.01 Hz). The results were compared in terms of phase contrast and CNR according to the modulation frequency. In addition, the detectability was analyzed by comparing the number of pixels of water ingress in the binarized image and the theoretical calculation. Full article
(This article belongs to the Special Issue Non-Destructive Evaluation of Composite Materials)
►▼ Show Figures

Figure 1

14 pages, 5302 KiB  
Article
Testing the Dispersion of Nanoparticles in a Nanocomposite with an Ultra-Low Fill Content Using a Novel Non-Destructive Evaluation Technique
by Nicola Montinaro, Mario Fustaino, Denise Bellisario, Fabrizio Quadrini, Loredana Santo and Antonio Pantano
Materials 2022, 15(3), 1208; https://0-doi-org.brum.beds.ac.uk/10.3390/ma15031208 - 05 Feb 2022
Cited by 5 | Viewed by 1340
Abstract
A non-destructive evaluation (NDE) technique capable of testing the dispersion of nanoparticles in a nanocomposite would be of great use to the industry to check the quality of the products made and to ensure compliance with their specifications. Very few NDE techniques found [...] Read more.
A non-destructive evaluation (NDE) technique capable of testing the dispersion of nanoparticles in a nanocomposite would be of great use to the industry to check the quality of the products made and to ensure compliance with their specifications. Very few NDE techniques found in the literature can evaluate the level of dispersion of the nanoparticles in the whole nanocomposite. Here, a recently developed NDE technique based on pulsed phase thermography (PPT) in transmission mode was used to assess the particle dispersion in ultra-low, less than 0.05 wt%, Ag enriched polymeric based nanocomposite manufactured with an innovative nano-coating fragmentation technique. The phasegrams obtained with the presented technique clearly showed clusters or bundles of Ag nanoparticles when present, down to the size of 6 µm. Therefore, the new NDE approach can be applied to verify that the expected levels of dispersion are met in the production process. Full article
(This article belongs to the Special Issue Non-Destructive Evaluation of Composite Materials)
►▼ Show Figures

Figure 1

17 pages, 1277 KiB  
Article
Detection of Material Degradation of a Composite Cylinder Using Mode Shapes and Convolutional Neural Networks
by Bartosz Miller and Leonard Ziemiański
Materials 2021, 14(21), 6686; https://0-doi-org.brum.beds.ac.uk/10.3390/ma14216686 - 06 Nov 2021
Cited by 6 | Viewed by 1473
Abstract
This paper presents a numerical study of the feasibility of using vibration mode shapes to identify material degradation in composite structures. The considered structure is a multilayer composite cylinder, while the material degradation zone is, for simplicity, considered a square section of the [...] Read more.
This paper presents a numerical study of the feasibility of using vibration mode shapes to identify material degradation in composite structures. The considered structure is a multilayer composite cylinder, while the material degradation zone is, for simplicity, considered a square section of the lateral surface of the cylinder. The material degradation zone size and location along the cylinder axis are identified using a deep learning approach (convolutional neural networks, CNNs, are applied) on the basis of previously identified vibration mode shapes. The different numbers and combinations of identified mode shapes used to assess the damaged zone size and location were analyzed in detail. The final selection of mode shapes considered in the identification procedure yielded high accuracy in the identification of the degradation zone. Full article
(This article belongs to the Special Issue Non-Destructive Evaluation of Composite Materials)
►▼ Show Figures

Figure 1

19 pages, 1447 KiB  
Article
Identification of Mode Shapes of a Composite Cylinder Using Convolutional Neural Networks
by Bartosz Miller and Leonard Ziemiański
Materials 2021, 14(11), 2801; https://0-doi-org.brum.beds.ac.uk/10.3390/ma14112801 - 25 May 2021
Cited by 5 | Viewed by 1810
Abstract
The aim of the following paper is to discuss a newly developed approach for the identification of vibration mode shapes of multilayer composite structures. To overcome the limitations of the approaches based on image analysis (two-dimensional structures, high spatial resolution of mode shapes [...] Read more.
The aim of the following paper is to discuss a newly developed approach for the identification of vibration mode shapes of multilayer composite structures. To overcome the limitations of the approaches based on image analysis (two-dimensional structures, high spatial resolution of mode shapes description), convolutional neural networks (CNNs) are applied to create a three-dimensional mode shapes identification algorithm with a significantly reduced number of mode shape vector coordinates. The CNN-based procedure is accurate, effective, and robust to noisy input data. The appearance of local damage is not an obstacle. The change of the material and the occurrence of local material degradation do not affect the accuracy of the method. Moreover, the application of the proposed identification method allows identifying the material degradation occurrence. Full article
(This article belongs to the Special Issue Non-Destructive Evaluation of Composite Materials)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-5
Back to TopTop