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Application of Ultrasonic Waves and Sensing Technologies in Nondestructive Testing...
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Application of Ultrasonic Waves and Sensing Technologies in Nondestructive Testing and Evaluation

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

Deadline for manuscript submissions: closed (30 April 2023) | Viewed by 4128

Special Issue Editors

Dr. Jinying Zhu

E-Mail Website
Guest Editor
Associate Professor, Department of Civil and Environmental Engineering, University of Nebraska-Lincoln, Omaha, NE 68182, USA
Interests: ultrasonic waves; nondestructive evaluation; air-coupled sensing; nonlinear ultrasonics; concrete; NDE of bridges
Dr. Fan Shi

E-Mail Website
Guest Editor
Department of Mechanical and Aerospace Engineering, Hong Kong University of Science and Technology (HKUST), Hong Kong, China
Interests: acoustics; nondestructive evaluation (NDE); ultrasonic material characterization; advanced ultrasonic imaging; numerical modeling of elastic waves and metamaterials
Special Issues, Collections and Topics in MDPI journals
Dr. Xin (Shin) Chen

E-Mail Website
Guest Editor
Sensors Acoustics, Cruise LLC, 1201 Bryant St., San Francisco, CA 94103, USA
Interests: ultrasonic wave propagation; magnetostrictive guide wave transducer; ultrasonic signal processing; the application of acoustic and ultrasonic transducers in autonomous driving
Dr. Hongbin Sun

E-Mail Website
Guest Editor
Nuclear Energy and Fuel Cycle Division, Oak Ridge National Laboratory, One Bethel Valley Road, Oak Ridge, TN 37830, USA
Interests: ultrasonic waves; nonlinear ultrasonics; ultrasonic sensor for harsh environment; machine learning for ultrasonic NDE

Special Issue Information

Dear Colleagues,

Ultrasonic wave techniques are widely used for nondestructive testing and evaluation (NDT/E) of various types of materials and structures. This Special Issue of Sensors will focus on original research and recent advances in nondestructive evaluation with ultrasonic waves, with a particular emphasis on materials with complex microstructures and new applications of NDT techniques.

Recent advances have dramatically changed the ultrasonic wave analysis and testing methods and expanded applications of ultrasonic NDT to new and complex materials. Nonlinear ultrasonic wave and diffuse wave analysis demonstrate unprecedented sensitivity and capability to identify microdamage in complex media. This Special Issue will cover a wide range of research topics that are relevant to ultrasonic NDT, including, but not limited to, the following:

  • Ultrasonic NDT for material characterization and damage evaluation;
  • Ultrasonic guided wave;
  • Nonlinear ultrasonic wave;
  • Diffuse ultrasonic wave;
  • Thermal effect on ultrasonic wave measurements and analysis;
  • Laser ultrasonic testing;
  • Air-coupled sensing;
  • Analytical and numerical modeling of ultrasonic waves in complex media;
  • New applications of ultrasonic NDT, such as NDT for additive manufacturing, batteries, metamaterials, etc.;
  • Machine learning for ultrasonic data processing.

Dr. Jinying Zhu
Dr. Fan Shi
Dr. Xin (Shin) Chen
Dr. Hongbin Sun
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 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. 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 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

  • ultrasonic NDT for material characterization and damage evaluation
  • ultrasonic guided wave
  • nonlinear ultrasonic wave
  • diffuse ultrasonic wave
  • thermal effect on ultrasonic wave measurements and analysis
  • laser ultrasonic testing
  • air-coupled sensing
  • analytical and numerical modeling of ultrasonic waves in complex media
  • new applications of ultrasonic NDT, such as NDT for additive manufacturing, batteries, metamaterials etc.
  • machine learning for ultrasonic data processing

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Published Papers (2 papers)

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Research

28 pages, 15947 KiB  
Article
Adapting the Time-Domain Synthetic Aperture Focusing Technique (T-SAFT) to Laser Ultrasonics for Imaging the Subsurface Defects
by Sundara Subramanian Karuppasamy and Che-Hua Yang
Sensors 2023, 23(19), 8036; https://doi.org/10.3390/s23198036 - 22 Sep 2023
Cited by 4 | Viewed by 1748
Abstract
Traditional ultrasonic testing uses a single probe or phased array probe to investigate and visualize defects by adapting certain imaging algorithms. The time-domain synthetic aperture focusing technique (T-SAFT) is an imaging algorithm that employs a single probe to scan along the test specimen [...] Read more.
Traditional ultrasonic testing uses a single probe or phased array probe to investigate and visualize defects by adapting certain imaging algorithms. The time-domain synthetic aperture focusing technique (T-SAFT) is an imaging algorithm that employs a single probe to scan along the test specimen in various positions, to generate inspection images with better resolution. Both the T-SAFT and phased array probes are contact methods with limited bandwidth. This work aims to combine the advantages of the T-SAFT and phased array in a noncontact way with the aid of laser ultrasonics. Here, a pulsed laser beam is employed to generate ultrasonic waves in both thermoelastic and ablation regimes, whereas the laser Doppler vibrometer is used to acquire the generated signals. These two lasers are focused on the test specimen and, to avoid the plasma and crater influence in the ablation regime, the transmission beam and reception beam are separated by 5 mm. By moving the test specimen with a step size of 0.5 mm, a 1D linear phased array (41 and 43 elements) with a pitch of 0.5 mm was synthesized, and three side-drilled holes (Ø 8 mm—thermoelastic regime, Ø 10 mm and Ø 2 mm—ablation regime) were introduced for inspection. The A-scan data obtained from these elements were processed via the T-SAFT algorithm to generate the inspection images in various grid sizes. The results showed that the defect reflections obtained in the ablation regime have better visibility than those from the thermoelastic regime. This is due to the high-amplitude signals obtained in the ablation regime, which pave the way for enhancing the pixel intensity of each grid. Moreover, the separation distance (5 mm) does not have any significant effect on the defect location during the reconstruction process. Full article
(This article belongs to the Special Issue Application of Ultrasonic Waves and Sensing Technologies in Nondestructive Testing and Evaluation)
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24 pages, 6518 KiB  
Article
Quasi-Distributed Fiber Sensor-Based Approach for Pipeline Health Monitoring: Generating and Analyzing Physics-Based Simulation Datasets for Classification
by Pengdi Zhang, Abhishek Venketeswaran, Ruishu F. Wright, Nageswara Lalam, Enrico Sarcinelli and Paul R. Ohodnicki
Sensors 2023, 23(12), 5410; https://doi.org/10.3390/s23125410 - 7 Jun 2023
Cited by 5 | Viewed by 1790
Abstract
This study presents a framework for detecting mechanical damage in pipelines, focusing on generating simulated data and sampling to emulate distributed acoustic sensing (DAS) system responses. The workflow transforms simulated ultrasonic guided wave (UGW) responses into DAS or quasi-DAS system responses to create [...] Read more.
This study presents a framework for detecting mechanical damage in pipelines, focusing on generating simulated data and sampling to emulate distributed acoustic sensing (DAS) system responses. The workflow transforms simulated ultrasonic guided wave (UGW) responses into DAS or quasi-DAS system responses to create a physically robust dataset for pipeline event classification, including welds, clips, and corrosion defects. This investigation examines the effects of sensing systems and noise on classification performance, emphasizing the importance of selecting the appropriate sensing system for a specific application. The framework shows the robustness of different sensor number deployments to experimentally relevant noise levels, demonstrating its applicability in real-world scenarios where noise is present. Overall, this study contributes to the development of a more reliable and effective method for detecting mechanical damage to pipelines by emphasizing the generation and utilization of simulated DAS system responses for pipeline classification efforts. The results on the effects of sensing systems and noise on classification performance further enhance the robustness and reliability of the framework. Full article
(This article belongs to the Special Issue Application of Ultrasonic Waves and Sensing Technologies in Nondestructive Testing and Evaluation)
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