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Sensors in Nondestructive Testing
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Sensors in Nondestructive Testing

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

Deadline for manuscript submissions: 20 August 2024 | Viewed by 1031

Special Issue Editors

Prof. Dr. Yihua Kang

E-Mail Website
Guest Editor
School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Interests: nondestructive testing methods and instruments; signal processing techniques; machine learning methods; sensors and actuators
Dr. Bo Feng

E-Mail Website
Guest Editor
School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Interests: nondestructive testing methods and instruments; signal processing techniques; machine learning methods; sensors and actuators
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Jianbo Wu

E-Mail Website
Guest Editor
School of Mechanical Engineering, Sichuan University, Chengdu 610065, China
Interests: nondestructive testing and evaluation; sensors; structure health monitoring
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Nondestructive testing (NDT) technologies, along with advanced sensors and signal processing techniques, play an important role in ensuring product quality during production. With the emergence of challenges in inspecting more complex structures under more complicated environments, sensor technologies in NDT have undergone great advancements.

There have been many recent advances in the development of sensors in NDT technologies, including eddy current testing, magnetic flux leakage testing, ultrasonic testing, guided wave testing and some other methods. Moreover, the finite element simulation and analytical calculation of electromagnetic fields and ultrasonic fields have played an important role in the development of NDT sensors. Furthermore, the advancement of electronic circuit design and digital signal processing techniques has greatly improved the sensor signals in NDT.

This Special Issue invites authors to submit high-quality research articles that cover but are not limited to different topics of Sensors in Nondestructive Testing:

  • Advanced NDT sensors;
  • Optimization of NDT sensors;
  • Analytical models for designing NDT sensors;
  • Numerical computation of electromagnetic fields;
  • New applications of NDT;
  • Novel signal processing algorithms for sensor signals.

Prof. Dr. Yihua Kang
Dr. Bo Feng
Prof. Dr. Jianbo Wu
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

  • electronic circuit design for NDT sensors
  • nondestructive testing
  • material characterization
  • electromagnetic fields
  • magnetic flux leakage testing
  • eddy current testing
  • magnetic particle inspection

Published Papers (2 papers)

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Research

13 pages, 6527 KiB  
Article
Residual Magnetic Field Testing System with Tunneling Magneto-Resistive Arrays for Crack Inspection in Ferromagnetic Pipes
by Shuxiang Zhao, Junqi Gao, Jiamin Chen and Lindong Pan
Sensors 2024, 24(11), 3259; https://doi.org/10.3390/s24113259 - 21 May 2024
Viewed by 328
Abstract
Ferromagnetic pipes are widely used in the oil and gas industry. They are subject to cracks due to corrosion, pressure, and fatigue. It is significant to detect cracks for the safety of pipes. A residual magnetic field testing (RMFT) system is developed for [...] Read more.
Ferromagnetic pipes are widely used in the oil and gas industry. They are subject to cracks due to corrosion, pressure, and fatigue. It is significant to detect cracks for the safety of pipes. A residual magnetic field testing (RMFT) system is developed for crack detection in ferromagnetic pipes. Based on this background, a detection probe based on an array of tunneling magneto-resistive (TMR) sensors and permanent magnets is exploited. The probe is able to partially magnetize the pipe wall and collect magnetic signals simultaneously. First, a theoretical analysis of RMFT is presented. The physics principle of RMFT is introduced, and a finite element model is built. In the finite element simulations, the effects of the crack length and depth on the RMFT signal are analyzed, and the signal characteristics are selected to represent the crack size. Next, the validated experiments are conducted to demonstrate the feasibility of the proposed RMFT method in this paper. Full article
(This article belongs to the Special Issue Sensors in Nondestructive Testing)
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14 pages, 13087 KiB  
Article
Detecting of Barely Visible Impact Damage on Carbon Fiber Reinforced Polymer Using Diffusion Ultrasonic Improved by Time-Frequency Domain Disturbance Sensitive Zone
by Yuqi Ma, Fangyuan Li, Jianbo Wu, Zhaoting Liu, Hui Xia and Zhaoyuan Xu
Sensors 2024, 24(10), 3201; https://doi.org/10.3390/s24103201 - 17 May 2024
Viewed by 301
Abstract
Based on the decorrelation calculation of diffusion ultrasound in time-frequency domain, this paper discusses the repeatability and potential significance of Disturbance Sensitive Zone (DSZ) in time-frequency domain. The experimental study of Barely Visible Impact Damage (BVID) on Carbon Fiber Reinforced Polymer (CFRP) is [...] Read more.
Based on the decorrelation calculation of diffusion ultrasound in time-frequency domain, this paper discusses the repeatability and potential significance of Disturbance Sensitive Zone (DSZ) in time-frequency domain. The experimental study of Barely Visible Impact Damage (BVID) on Carbon Fiber Reinforced Polymer (CFRP) is carried out. The decorrelation coefficients of time, frequency, and time-frequency domains and DSZ are calculated and compared. It has been observed that the sensitivity of the scattered wave disturbance caused by impact damage is non-uniformly distributed in both the time and frequency domains. This is evident from the non-uniform distribution of the decorrelation coefficient in time-domain and frequency-domain decorrelation calculations. Further, the decorrelation calculation in the time-frequency domain can show the distribution of the sensitivity of the scattered wave disturbance in the time domain and frequency domain. The decorrelation coefficients in time, frequency, and time-frequency domains increase monotonically with the number of impacts. In addition, in the time-frequency domain decorrelation calculation results, stable and repetitive DSZ are observed, which means that the specific frequency component of the scattered wave is extremely sensitive to the damage evolution of the impact region at a specific time. Finally, the DSZ obtained from the first 15 impacts is used to improve the decorrelation calculation in the 16-th to 20-th impact. The results show that the increment rate of the improved decorrelation coefficient is 10.22%. This study reveals that the diffusion ultrasonic decorrelation calculation improved by DSZ makes it feasible to evaluate early-stage damage caused by BVID. Full article
(This article belongs to the Special Issue Sensors in Nondestructive Testing)
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