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Submit a Manuscript to the Journal
Quantitative InfraRed Thermography Journal

For a Special Issue on
Recent Trends in Sensing and Imaging for Quantitative InfraRed Thermography Non-destructive Testing and Evaluation of Composites

Manuscript deadline
08 October 2023

Cover image - Quantitative InfraRed Thermography Journal

Special Issue Editor(s)

Ravibabu Mulaveesala, InfraRed Imaging Laboratory (IRIL), Centre for Sensors, iNstrumentation and cyber-physical Systems Engineering (SeNSE), Indian Institute of Technology Delhi, Hauz Khas, New Delhi, India-110016
[email protected]

Stefano Sfarra, University of L'Aquila, Italy Department of Industrial and Information Engineering and Economics (DIIIE)
[email protected]

Vavilov Vladimir, Tomsk Polytechnic University, Tomsk, Russian Federation, Office 404, Building No 18, 7, Savinyh street, Tomsk, Russia
[email protected]

Nicolas Peter Avdelidis, Head of IVHM Centre, Cranfield Campus College Road, Cranfield, MK43 0AL, UK
[email protected]

Paolo Bison, CNR-ITC, C.so Stati Uniti 4, 35127 Padova – Italy
[email protected]

Rosario Morello, Scientific Director of Advanced Thermography Center Dept. DIIES, University Mediterranea of Reggio Calabria, ITALY
[email protected]

Submit an ArticleVisit JournalArticles

Recent Trends in Sensing and Imaging for Quantitative InfraRed Thermography Non-destructive Testing and Evaluation of Composites

This special issue’s “Recent Trends in Sensing and Imaging for Quantitative InfraRed Thermography Non-destructive Testing and Evaluation of Composites” focus on the advancement of Thermal Non-Destructive Testing (TNDT) methods along with the associated post-processing approaches for quantitative inspection and evaluation of composite materials widely used in aerospace, defence, automotive, infrastructure, biomedical and civil engineering areas. The main focus is on applications of various advanced signal, image, and video processing approaches to enhance the defect detection sensitivity and resolution of the proposed highly depth-resolved coded thermographic imaging modalities. Further, but not limited to, the applications of various machine learning algorithms for thermal data reduction and feature classification along with automatic quantitative inspection and evaluation process for composites using artificial intelligence are highly encouraged to submit. Last, but not least, this issue provides special attention to pulse-compression favourable coded thermal wave imaging modalities and their applicability for testing and evaluation of composite, sandwich, and honeycomb structures. Further, manuscripts dealing with novel analytical and numerical models for quantitative thermal non-destructive testing and evaluation of composite materials (with experimental validation via infrared thermography) are suggested to submit.

This special issue is unique in the following compared to the other proposed special issues:

  • Special issue gives special attention to highly depth-resolved coded excited thermal wave imaging modalities unlike the presently available special issues
  • Pulse compression favourable excitation schemes and associated post-processing approaches will be highly encouraged for testing and evaluation of composites
  • Special emphasis will be given to analytical treatments for multi-layer systems for quantitative thermography assessment also supported by numerical simulations

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