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Special Issue "Sensors Based NDE and NDT"

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".

Deadline for manuscript submissions: 31 May 2020

Special Issue Editors

Guest Editor
Prof. Yufeng Zhou

Division of Engineering Mechanics, School of Mechanical and Aerospace Engineering, College of Engineering, Nanyang Technological University, Singapore
Website | E-Mail
Interests: shock wave lithotripsy (SWL); high-intensity focused ultrasound (HIFU); ultrasound-enhanced drug delivery; nondestructive evaluation (NDE); surface acoustic wave (SAW)
Guest Editor
Dr. Wentao Wang

Department of Civil and Environmental Engineering, University of Michigan, Ann Arbor, MI 48109-2125, USA
Website | E-Mail
Interests: structural health monitoring; non-destructive testing/evaluation (NDT/E); surface wave; guided wave (GW); wireless sensor networks (WSNs); compressive sensing (CS); osseointegrated prosthesis monitoring

Special Issue Information

Dear Colleagues,

Non-destructive testing/evaluation (NDT/NDE) methods clearly have a significant role in both science and technology for the evaluation of the properties of materials, components, and systems in civil engineering, mechanical engineering, electrical engineering, aeronautical engineering, and medical applications. It has gained increasing attention in recent years, mainly because of its high precision and sensitivity without any damage to samples. There are growing needs to monitor samples of materials, components, and systems to more accurately identify whether there is damage, where the damage is, what type it is, and how big the damage is with quantitative data acquired by sensors and 2D/3D images visualized by reconstructed algorithms.

This Special Issue aims to publish highly rated manuscripts presenting the recent developments and applications of original sensor-based NDE and NDT approaches addressed to the study of science and engineering assessment, including sensor design and fabrication, system construction, theoretical simulation, data analysis, reconstruction algorithms, experimental results, and applications. Topics include but are not limited to the keywords listed as follows:

Keywords:

  • ultrasound
  • surface acoustic wave and guided wave
  • new developments in smart sensors
  • novel intelligent sensing-based NDT/E approaches
  • distributed wireless sensor networks
  • reconstruction algorithm of NDT/E
  • damage detection and visualization
  • theoretical simulation of wave propagation and interaction
  • artificial intelligence in the data analysis and damage prediction
  • industrial applications and evaluation
  • clinical non-destructive evaluations

Prof. Yufeng Zhou
Dr. Wentao Wang
Guest Editors

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 papers will be 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. Sensors 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 1800 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.

Published Papers (3 papers)

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Research

Open AccessArticle Corrosion Monitoring Method of Porous Aluminum Alloy Plate Hole Edges Based on Piezoelectric Sensors
Sensors 2019, 19(5), 1106; https://doi.org/10.3390/s19051106
Received: 2 January 2019 / Revised: 15 February 2019 / Accepted: 28 February 2019 / Published: 5 March 2019
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Abstract
Corrosion damage to the aircraft structure can significantly reduce the safety performance and endanger flight safety. Especially when the corrosion occurs in a stress concentration region, such as hole edges, it can easily threaten the entire structure. In this paper, an on-line imaging [...] Read more.
Corrosion damage to the aircraft structure can significantly reduce the safety performance and endanger flight safety. Especially when the corrosion occurs in a stress concentration region, such as hole edges, it can easily threaten the entire structure. In this paper, an on-line imaging qualitative monitoring algorithm based on piezoelectric sensors is proposed for detecting hole edge corrosion damage of porous aluminum alloy structures. The normalized amplitude is used to characterize the correlation between the initial Lamb wave signal and the damage signal, which is as an image reconstruction parameter in the algebraic iterative probability reconstruction algorithm. Moreover, a homogenization algorithm is proposed to process the reconstruction results. The experimental results of single hole and double hole corrosion for porous aluminum alloy plate show that the method can effectively achieve the location and quantification of corrosion damage to one and two holes of the porous structure. Full article
(This article belongs to the Special Issue Sensors Based NDE and NDT)
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Graphical abstract

Open AccessArticle A Quick Classifying Method for Tracking and Erosion Resistance of HTV Silicone Rubber Material via Laser-Induced Breakdown Spectroscopy
Sensors 2019, 19(5), 1087; https://doi.org/10.3390/s19051087
Received: 19 December 2018 / Revised: 18 February 2019 / Accepted: 27 February 2019 / Published: 3 March 2019
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Abstract
Silicone rubber material is widely used in high-voltage external insulation systems due to its excellent hydrophobicity and hydrophobicity transfer performance. However, silicone rubber is a polymeric material with a poor ability to resist electrical tracking and erosion; therefore, some fillers must be added [...] Read more.
Silicone rubber material is widely used in high-voltage external insulation systems due to its excellent hydrophobicity and hydrophobicity transfer performance. However, silicone rubber is a polymeric material with a poor ability to resist electrical tracking and erosion; therefore, some fillers must be added to the material for performance enhancement. The inclined plane test is a standard method used for evaluating the tracking and erosion resistance by subjecting the materials to a combination of voltage stress and contaminate droplets to produce failure. This test is time-consuming and difficult to apply in field inspection. In this paper, a new and faster way to evaluate the tracking and erosion resistance performance is proposed using laser-induced breakdown spectroscopy (LIBS). The influence of filler content on the tracking and erosion resistance performance was studied, and the filler content was characterized by thermogravimetric analysis and the LIBS technique. In this paper, the tracking and erosion resistance of silicone rubber samples was correctly classified using principal component analysis (PCA) and neural network algorithms based on LIBS spectra. The conclusions of this work are of great significance to the performance characterization of silicone rubber composite materials. Full article
(This article belongs to the Special Issue Sensors Based NDE and NDT)
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Open AccessArticle Damage Quantification with Embedded Piezoelectric Aggregates Based on Wavelet Packet Energy Analysis
Sensors 2019, 19(2), 425; https://doi.org/10.3390/s19020425
Received: 6 January 2019 / Revised: 16 January 2019 / Accepted: 17 January 2019 / Published: 21 January 2019
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Abstract
Cement-based components have been widely used in civil engineering structures. However, due to wearing and deterioration, the cement-based components may have brittle failure. To provide early warning and to support predictive reinforcement, the piezoelectric materials are embedded into the cement-based components to excite [...] Read more.
Cement-based components have been widely used in civil engineering structures. However, due to wearing and deterioration, the cement-based components may have brittle failure. To provide early warning and to support predictive reinforcement, the piezoelectric materials are embedded into the cement-based components to excite and receive elastic waves. By recognizing the abnormalities in the elastic waves, hidden damage can be identified in advance. However, few research has been published regarding the damage quantification. In this paper, the wavelet packet analysis is adopted to calculate the energy of the transmitted elastic waves based on the improved piezoelectric aggregates (IPAs). Due to the growth of the damage, less elastic waves can pass through the damage zone, decreasing the energy of the acquired signals. A set of cement beams with different crack depths at the mid-span is tested in both numerical and experimental ways. A damage quantification index, namely the wavelet packet-based energy index (WPEI), is developed. Both the numerical and experimental results demonstrate that the WPEI decreases with respect to the crack depth. Based on the regression analysis, a strong linear relationship has been observed between the WPEI and the crack depth. By referring to the linear relationship, the crack depth can be estimated by the WPEI with a good accuracy. The results demonstrated that the use of the IPAs and the WPEI can fulfill the real-time quantification of the crack depth in the cement beams. Full article
(This article belongs to the Special Issue Sensors Based NDE and NDT)
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