Non-Destructive Metallic Materials Testing—Recent Research and Future Perspectives
A special issue of Metals (ISSN 2075-4701).
Deadline for manuscript submissions: closed (30 September 2016) | Viewed by 61085
Special Issue Editors
Interests: artificial intelligence; data mining; machine learning; pattern recognition; simulation; intelligent transport systems
Special Issues, Collections and Topics in MDPI journals
Interests: Artificial intelligence; image data science; internet of things; pattern recognition; information security
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Non-destructive testing (NDT) has become extremely important in metallic materials characterization, mainly by allowing the assessment of structural, mechanical and microstructural properties in an effective and reasonable manner, in addition to maintaining the integrity of the evaluated samples and applicability in service in many cases. The aim of this Special Issue, “Non-Destructive Metallic Materials Testing—Recent Research and Future Perspectives”, is to disseminate technological advances, which have been reached through innovation and customization of non-destructive testing techniques for metallic materials, present successful application cases, and discuss possible future trends, endeavoring for faster and more reliable decision-making processes. We are pleased to invite researchers, manufacturers and end-users to contribute to this Special Issue, which also welcomes review and perspective manuscripts. Possible topics include, but are not limited to:
- Signal processing and analysis in NDT;
- Image processing and analysis in NDT;
- Pattern recognition and classification in NDT;
- 3D image reconstruction from NDT data;
- Computational Methods and Simulation in NDT;
- Microstructural characterization using NDT;
- Methods and applications of NDT;
- Software development for metallic materials non-destructive testing.
Dr. João Manuel R. S. Tavares
Dr. Victor Hugo C. de Albuquerque
Guest Editors
Manuscript Submission Information
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Keywords
- Signal processing
- Computer methods
- Materials characterization
- Decision-making
- NDT techniques and applications
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