Recent Advances and Applications of Infrared Thermography
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Optics and Lasers".
Deadline for manuscript submissions: closed (31 January 2020) | Viewed by 32796
Special Issue Editor
Interests: advanced materials’ behavior; materials engineering; metal matrix composites; ceramic matrix composites; carbon fiber reinforced polymers; non-destructive evaluation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Infrared thermography (IRT), as a non-destructive evaluation method, has been applied for the last five decades with great success in a broad spectrum of disciplines. Due to the continuous advances in sensor technology and electronics, IRT has evolved into a major, accurate, versatile, and well-established method for various applications. It has been employed in engineering, biomedicine, nuclear technology, physics, veterinary science, arts, cultural heritage, etc. Defect detection, thermal performance of buildings, monitoring of damage, diagnosis of medical conditions, art authenticity evaluation, assessment of culture heritage conditions, and many other applications have led the scientific community to develop and advance numerous methodologies based on infrared thermography, such as pulsed phase, lock-in, step, ultrasound, eddy current, thermo-electrical lock-in thermography, etc. This Special Issue of Applied Sciences focuses on the recent advances and applications of infrared thermography in a variety of disciplines. The aim of this issue is to attract research involving novel and advanced IRT methodologies or/and new applications that have an impact on the scientific community. Manuscripts that combine IRT with other non-destructive methodologies, as long as IRT is the main method, are also welcome.
Dr. Evangelos Z. Kordatos
Guest Editor
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Keywords
- Infrared thermography
- Non-destructive evaluation
- Structural health monitoring
- Sensors
- Damage monitoring
- Advanced image processing
- Defect detection
- Thermographic numerical simulations
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