Special Issue "Robotic Non-Destructive Testing"
Deadline for manuscript submissions: 30 September 2021.
Interests: non-destructive testing; ultrasonics; phased array technology; metrology; automated and autonomous robotic inspection systems; instrument interfacing; real-time control; data-driven robotic inspection; adaptive robotic inspections; in-process inspections
Office1 (EEE): Technology and Innovation Centre (Level 7), 99 George Street, Glasgow, G1 1RD, UK
Office 2 (DMEM): James Weir Building (Level 7), 75 Montrose Street, Glasgow, G1 1XJ, UK
Interests: welding technology; NDT; residual stress; additive manufacturing; robotics
Special Issues and Collections in MDPI journals
Non-destructive testing (NDT) is notoriously referred to as the wide group of analysis techniques used in research, civil, medical, and industrial sectors to evaluate the properties of materials, components or structures, without causing any damage. NDT is of vital importance to ensure the integrity of critical parts and social safety. Automation offers many benefits for NDT, to cope with increasing demands, including improved reliability and higher inspection speeds. Also, robots enable reaching inspection positions not easily accessible to human operators and remove humans from potentially dangerous environments. However, the perceived complexity and high costs has meant the adoption of automation for NDT has been limited. The seamless integration of industrial robotic arms with sensors, actuators, and software can revolutionize the way automated NDT is performed and conceived. Robotic manipulators have typically been operated by predefined tool-paths generated through off-line path-planning software applications. The recent advancements in electronics, robotics, sensor technology and software pave the way to new developments in automated NDT and data-driven autonomous robotic inspections, in several civil and industrial sectors.
The upcoming technologies are expected to encompass all aspects of networking and compatibility with the Internet of Things and to adopt new manufacturing techniques such as 3D printing and custom manufacturing and assembly of individual components based on the customer’s needs. Moreover, robotic inspections systems are able to acquire huge data volumes. As a result, NDT must be able to adapt to the new trends by introducing new solutions and approaches. The aim of this Special Issue is to attract the latest outcomes of research in the field of robotic NDT. We invite research authors to submit their manuscripts introducing novel developments in one or more of the following aspects:
- Robotic NDT
- Robotic enabled sensing
- Novel integrations of robotic systems for hybrid manufacturing and inspection tasks
- Transition from automated to autonomous robotic NDT
- Modelling of robotic NDT approaches, remote inspection and interpretation
- Real time monitoring of production and structures
- Management and processing of big data
- Machine learning, artificial intelligence, image recognition and data mining in NDT
The goal of this Special Issue is to present how NDT is being updated and transformed to address the issues raised by the challenging new frontiers in civil and medical fields and by Industry 4.0, which is the ongoing automation of traditional manufacturing and industrial practices using modern smart technology.
Dr. Carmelo Mineo
Dr. Yashar Javadi
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 2200 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.
- Robotic non-destructive testing
- Robotic enabled sensing
- Remote inspection
- Adaptive inspection
- Data interpretation
- Real time monitoring
- Data-driven autonomous inspection
- Data management, Data processing
- Machine learning, Artificial intelligence, Image recognition