Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
6.8
3.9
Journals
Sensors
Special Issues
Ultrasound Imaging and Sensing for Nondestructive Testing
sensors-logo
Submit to Special Issue Submit Abstract to Special Issue Review for Sensors Propose a Special Issue

Journal Menu

► Journal Menu

Journal Browser

► Journal Browser
share announcement

Ultrasound Imaging and Sensing for Nondestructive Testing

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

Deadline for manuscript submissions: 30 September 2024 | Viewed by 3091

Special Issue Editors

Dr. Haoran Jin

E-Mail
Guest Editor
Institute of Mechatronic Control Engineering, Zhejiang University, Hangzhou, China
Interests: robotic ultrasound imaging; ultrasonic nondestructive testing; medical ultrasound
Dr. Zesheng Zheng

E-Mail
Guest Editor
Institute of Microelectronics, Agency for Science, Technology and Research, Singapore 138634, Singapore
Interests: ultrasound imaging; photoacoustic imaging; optical coherence tomography; non-contact vibration measurement
Dr. Siyu Liu

E-Mail Website
Guest Editor
School of Science, Nanjing University of Science and Technology, Nanjing, China
Interests: photoacoustic imaging

Special Issue Information

Dear Colleagues,

In recent years, there has been rapid development in non-destructive testing technology for ultrasound imaging with robots and automation systems. This technology has expanded the application scope of ultrasound testing, from non-destructive testing of products in the fabrication process to in-service equipment inspection. However, the involvement of robots and automation systems has also raised higher technical requirements for ultrasound imaging, including imaging modes, detection accuracy, and efficiency. This Special Issue will explore various new robot-assisted and automated ultrasound imaging systems, related theories and algorithms for automated ultrasound imaging and testing, and ultrasound imaging technology for various non-destructive testing applications. Topics of interest include, by are not limited to, the following:

  • Ultrasound imaging and signal processing technology;
  • Automated ultrasound imaging technology and systems;
  • Robot-assisted ultrasound imaging and testing technology and systems;
  • Robot-assisted positioning, navigation, and ultrasound testing technology;
  • Other related automation and robot-assisted non-destructive testing technologies.

Both review articles and original research papers associated with ultrasonic systems, robots and automated inspection systems, ultrasonic sensors/transducers, and their applications in non-destructive testing are solicited. There is a particular interest in papers concerning techniques of ultrafast ultrasound imaging, three-dimensional ultrasound imaging, underwater ultrasound imaging, and their applications for non-destructive testing.

Dr. Haoran Jin
Dr. Zesheng Zheng
Dr. Siyu Liu
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

  • ultrasound imaging
  • non-destructive testing
  • automation testing system
  • robot-assisted testing system
  • laser ultrasonic imaging

Published Papers (4 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

Jump to: Review

17 pages, 9152 KiB  
Article
Ultrasonic Through-Metal Communication Based on Deep-Learning-Assisted Echo Cancellation
by Jinya Zhang, Min Jiang, Jingyi Zhang, Mengchen Gu and Ziping Cao
Sensors 2024, 24(7), 2141; https://doi.org/10.3390/s24072141 - 27 Mar 2024
Viewed by 449
Abstract
Ultrasound is extremely efficient for wireless signal transmission through metal barriers due to no limit of the Faraday shielding effect. Echoing in the ultrasonic channel is one of the most challenging obstacles to performing high-quality communication, which is generally coped with by using [...] Read more.
Ultrasound is extremely efficient for wireless signal transmission through metal barriers due to no limit of the Faraday shielding effect. Echoing in the ultrasonic channel is one of the most challenging obstacles to performing high-quality communication, which is generally coped with by using a channel equalizer or pre-distorting filter. In this study, a deep learning algorithm called a dual-path recurrent neural network (DPRNN) was investigated for echo cancellation in an ultrasonic through-metal communication system. The actual system was constructed based on the combination of software and hardware, consisting of a pair of ultrasonic transducers, an FPGA module, some lab-made circuits, etc. The approach of DPRNN echo cancellation was applied to signals with a different signal-to-noise ratio (SNR) at a 2 Mbps transmission rate, achieving higher than 20 dB SNR improvement for all situations. Furthermore, this approach was successfully used for image transmission through a 50 mm thick aluminum plate, exhibiting a 24.8 dB peak-signal-to-noise ratio (PSNR) and a about 95% structural similarity index measure (SSIM). Additionally, compared with three other echo cancellation methods—LMS, RLS and PNLMS—DPRNN has demonstrated higher efficiency. All those results firmly validate that the DPRNN algorithm is a powerful tool to conduct echo cancellation and enhance the performance of ultrasonic through-metal transmission. Full article
(This article belongs to the Special Issue Ultrasound Imaging and Sensing for Nondestructive Testing)
►▼ Show Figures

Figure 1

18 pages, 28755 KiB  
Article
Full-Matrix Imaging in Fourier Domain towards Ultrasonic Inspection with Wide-Angle Oblique Incidence for Welded Structures
by Mu Chen, Xintao Xu, Keji Yang and Haiteng Wu
Sensors 2024, 24(3), 832; https://doi.org/10.3390/s24030832 - 27 Jan 2024
Viewed by 621
Abstract
The total focusing method (TFM) has been increasingly applied to weld inspection given its high image quality and defect sensitivity. Oblique incidence is widely used to steer the beam effectively, considering the defect orientation and structural complexity of welded structures. However, the conventional [...] Read more.
The total focusing method (TFM) has been increasingly applied to weld inspection given its high image quality and defect sensitivity. Oblique incidence is widely used to steer the beam effectively, considering the defect orientation and structural complexity of welded structures. However, the conventional TFM based on the delay-and-sum (DAS) principle is time-consuming, especially for oblique incidence. In this paper, a fast full-matrix imaging algorithm in the Fourier domain is proposed to accelerate the TFM under the condition of oblique incidence. The algorithm adopts the Chebyshev polynomials of the second kind to directly expand the Fourier extrapolator with lateral sound velocity variation. The direct expansion maintains image accuracy and resolution in wide-angle situations, covering both small and large angles, making it highly suitable for weld inspection. Simulations prove that the third-order Chebyshev expansion is required to achieve image accuracy equivalent to the TFM with wide-angle incidence. Experiments verify the algorithm’s performance for weld flaws using the proposed method with the transverse wave and the full-skip mode. The depth deviation is within 0.53 mm, and the sizing error is below 15%. The imaging efficiency is improved by a factor of up to 8 compared to conventional TFM. We conclude that the proposed method is applicable to high-speed weld inspection with various oblique incidence angles. Full article
(This article belongs to the Special Issue Ultrasound Imaging and Sensing for Nondestructive Testing)
►▼ Show Figures

Figure 1

18 pages, 4261 KiB  
Article
High-Precision Corrosion Detection via SH1 Guided Wave Based on Full Waveform Inversion
by Jiawei Wen, Can Jiang and Hao Chen
Sensors 2023, 23(24), 9902; https://doi.org/10.3390/s23249902 - 18 Dec 2023
Cited by 1 | Viewed by 818
Abstract
Corrosion detection for industrial settings is crucial for safe and efficient operations. Due to its high imaging resolution, the guided–wave full–waveform inversion tomography technique has significant potential for corrosion detection of plate metals. Limited by the long wavelengths of A0 and S0 mode [...] Read more.
Corrosion detection for industrial settings is crucial for safe and efficient operations. Due to its high imaging resolution, the guided–wave full–waveform inversion tomography technique has significant potential for corrosion detection of plate metals. Limited by the long wavelengths of A0 and S0 mode waves, this method exhibits inadequate detection resolution for the earlier shallow and small corrosion defects. Based on the relatively short wavelength characteristics of the SH1 mode wave, we propose a high–precision corrosion detection method via SH1 guided wave using the full waveform inversion algorithms. By conducting finite element simulations of ultrasonic–guided waves on aluminum plates with varying corrosion defects, a comparison was made to assess the detection precision across A0, S0, and SH1 modes. The comparison results showed that, whether for regular or irregular defects, the SH1 mode wave always exhibited higher imaging accuracy than the A0 and S0 mode waves for shallow and small–sized defects. The corresponding experiments were conducted on an aluminum plate with simple or complex defects. The results of the experiments reconfirmed that the full waveform inversion method using SH1 guided wave can effectively reconstruct the shape and size of small and shallow corrosion defects within aluminum plates. Full article
(This article belongs to the Special Issue Ultrasound Imaging and Sensing for Nondestructive Testing)
►▼ Show Figures

Figure 1

Review

Jump to: Research

31 pages, 8640 KiB  
Review
Coded Excitation for Ultrasonic Testing: A Review
by Chenxin Weng, Xu Gu and Haoran Jin
Sensors 2024, 24(7), 2167; https://doi.org/10.3390/s24072167 - 28 Mar 2024
Viewed by 605
Abstract
Originating in the early 20th century, ultrasonic testing has found increasingly extensive applications in medicine, industry, and materials science. Achieving both a high signal-to-noise ratio and high efficiency is crucial in ultrasonic testing. The former means an increase in imaging clarity as well [...] Read more.
Originating in the early 20th century, ultrasonic testing has found increasingly extensive applications in medicine, industry, and materials science. Achieving both a high signal-to-noise ratio and high efficiency is crucial in ultrasonic testing. The former means an increase in imaging clarity as well as the detection depth, while the latter facilitates a faster refresh of the image. It is difficult to balance these two indicators with a conventional short pulse to excite the probe, so in general handling methods, these two factors have a trade-off. To solve the above problems, coded excitation (CE) can increase the pulse duration and offers great potential to improve the signal-to-noise ratio with equivalent or even higher efficiency. In this paper, we first review the fundamentals of CE, including signal modulation, signal transmission, signal reception, pulse compression, and optimization methods. Then, we introduce the application of CE in different areas of ultrasonic testing, with a focus on industrial bulk wave single-probe detection, industrial guided wave detection, industrial bulk wave phased array detection, and medical phased array imaging. Finally, we point out the advantages as well as a few future directions of CE. Full article
(This article belongs to the Special Issue Ultrasound Imaging and Sensing for Nondestructive Testing)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-4
Back to TopTop