SPIE Thermosense is the longest-standing and largest international technical conference focused on scientific, industrial, and medical uses of infrared imaging, infrared temperature measurements, and image analysis. Its proceedings are found in most scientific and engineering libraries, providing an unequaled depth and breadth of technical information and reference data. The Thermosense conference promotes worldwide exchange of information about research, uses and applications of infrared (IR) imaging technology. This includes infrared thermography and thermal infrared sensing primarily in the NIR, SWIR, MWIR, and LWIR bands. SPIE Thermosense encompasses presentations of research and technical papers, workshops and short courses. Since 1978, these activities have included topics from the fundamentals of infrared imaging and calibration to virtually all infrared research and applications. Special emphasis has been on problem solving and turning new developments into standard practices. This year we are planning to hold special sessions on:
  1. automated inspection using machine learning and AI technologies
  2. multispectral, hyperspectral, and multi-imaging techniques.
Academic research and professional practical papers are solicited related to infrared applications (NIR/SWIR /MWIR/LWIR) in the areas listed below and are also welcome in other areas.

Additive manufacturing Aerospace applications Artificial intelligence and NDE4.0 in IRT Automotive industry and autonomous driving Building and cultural heritage applications Calibration Detection of gas and other leaks Drone and airborne thermography Environmental and agricultural monitoring Fiber optics for infrared Fire analysis and detection Food processing and handling Hyperspectral (HS) and multispectral (MS) imagery Infrastructure Infrared image fusion applications and multi-imaging techniques Loss prevention Manufacturing and processing industries, process control Infrared nondestructive testing (IR NDT) and materials evaluation Medical applications and Covid-19 Power generation and distribution Research and development Remote sensing and security Robotic applications Standards, certifications, and guidelines Selected papers that are accepted to SPIE Thermosense will be recommended for publication in related SPIE journals such as Optical Engineering and Journal of Electronic Imaging.

 

Thermosense Best Student Paper Award
The conference chairs and program committee would like to recognize outstanding young researchers with a best student paper award. The award is open to any first author student presenting an oral presentation at SPIE Thermosense. A certificate and $500 monetary award will be granted to the student winner.

To be eligible for the best student paper award, you must:
  • be a student without a doctoral degree (undergraduate, graduate, or PhD student)
  • submit your abstract online, and select “Yes” when asked if you are a full-time student, and select yourself as the speaker
  • be the presenting author on an accepted paper within this conference
  • have conducted most of the work to be presented
  • submit your manuscript online by the manuscript due date
  • present your paper as scheduled.
Sponsored by:




RELATED CALL FOR INDUSTRY PRESENTATIONS

Thermosense Vendor Presentation and Reception XX

Monday 22 April 2024
Gaylord National Resort & Convention Center
National Harbor, Maryland

Attention all SPIE DCS 2024 exhibiting companies! Share the Latest – What's new in hardware and software for thermography, thermal imaging, and non-contact temperature measurement?
The Thermosense Vendor Presentation and Reception started twenty years ago and has become a very popular and well-attended success. This special session provides an early opportunity for exhibitors to highlight their latest technology and newest products to the Thermosense, infrared industry, and SPIE Defense + Commercial Sensing (DCS) technical audience prior to the opening of the DCS Expo. In a relaxed atmosphere, enjoy a casual meeting setting with ample time for questions and answers. This session will allow conference attendees and visitors to better prioritize their activities when visiting the Expo.

Session includes
  • exhibitors sharing state-of-the-art in future generation of infrared detectors, IR imagers radiometric and non-radiometric and IR image processing systems
  • explores other related infrared optics, semitransparent materials, characterization and calibration sources, infrared fiber optics, coolers, multispectral and hyperspectral cameras
  • it also covers topics related hardware and software involved in infrared applications: SWIR - MWIR - LWIR

Audience background
Innovative infrared systems & applications researchers, applications engineers & professionals, advanced optics engineers, photonics and imaging researchers, photonics engineering, infrared systems engineers, calibration & test engineers, academics, physicists, and other exhibitor representatives attending with DCS24 tech passes. This session is not open to exhibition-only attendees.

To participate
Open to all DCS24 exhibitors offering products or services related to infrared sensing or imaging, or photonics. There are no restrictions to the content or topics of submissions: technical, academics or commercial within infrared imaging hardware, optics, accessories, and software. Session format features 12-15-minute oral presentations from hardware to software whose product lines impact thermal imaging applications and the infrared industry in general. There is no additional charge to participate. Reservations are open now, with limited time slots available. If you are interested in participating, or have more questions, please contact the moderators: Basic rules
  • Be an exhibitor at SPIE Defense + Commercial Sensing 2024
  • ethical and professional standards are expected to be maintained
  • first-come first-serve basis - slots are limited!
Guidelines
  • abstract/manuscript: not required
  • presentation on site: flexible. Power Point (PP) or other
  • presentation contents of the chosen topic: technical, manufacturing, commercial, practical, research, etc.
  • presentations in this session do not have prior review, but note that ethical and professional standards are expected to be maintained
  • vendors may bring and display equipment-instruments during the presentation (hardware -other)
  • length of presentation: 12-15 minutes.
Information required to apply
  • legal/commercial name of the company
  • booth number (if it is already defined)
  • title of the presentation
  • name of the presenter and their position in the company
  • presenter’s e-mail address.
The Vendor Presentation and Reception does not require submission of an abstract or manuscript. To present at the vendor session, first confirm you meet eligibility requirements above, then contact the moderators directly. This event is located in the technical conference area, and therefore all attendees must be paid registered participants at SPIE Defense + Commercial Sensing 2024, with access to the technical conferences.

The below submission button is for Thermosense conference participation only. To submit to this vendor session, contact the moderators directly via email.
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In progress – view active session
Conference 13047

Thermosense: Thermal Infrared Applications XLVI

23 - 25 April 2024 | Chesapeake 6
Show conference sponsors + Hide conference sponsors
View Session ∨
  • Thermosense Vendor Presentation and Reception XX
  • Symposium Plenary
  • Symposium Panel on Microelectronics Commercial Crossover
  • Welcome and Opening Remarks
  • 1: Artificial Intelligence and NDE4.0 in IRT
  • 2: Drone and Airborne Thermography: Robotics
  • 3: Hyperspectral and Multispectral Imagery
  • Poster Session
  • Symposium Plenary on AI/ML + Sustainability
  • Opening Remarks
  • 4: IR NDT Applications I
  • 5: Keynote Session
  • 6: Additive Manufacturing
  • Selection of Best Student Paper Award
  • Thermosense Committee Annual Meeting
  • Opening Remarks
  • 7: IR NDT Applications II
  • 8: Aerospace Applications
  • Best Student Paper Award Ceremony
Information

Want to participate with this program?
POST-DEADLINE SUBMISSIONS ACCEPTED UNTIL 4-March
New submissions considered as space becomes available
Contact author will be notified of acceptance by 11-March
View Submission Guidelines and Agreement
View the Call for Papers PDF

Submit Abstract

Thermosense Vendor Presentation and Reception XX
22 April 2024 • 12:00 PM - 4:00 PM EDT | Chesapeake 6

The Thermosense Vendor Presentation and Reception provides an early opportunity for exhibitors to highlight their latest technologies and newest products to the Thermosense, infrared industry, and SPIE Defense + Commercial Sensing technical audience prior to the opening of the DCS Expo.

View Program Details + Event Information

Symposium Plenary
22 April 2024 • 5:00 PM - 6:30 PM EDT | Potomac A
Session Chairs: Tien Pham, The MITRE Corp. (United States), Douglas R. Droege, L3Harris Technologies, Inc. (United States)

View Full Details: spie.org/dcs/symposium-plenary

Chair welcome and introduction
22 April 2024 • 5:00 PM - 5:05 PM EDT

Title to be determined (Plenary Presentation)
Presenter(s): Dev Shenoy, Principal Director for Microelectronics, Office of the Under Secretary of Defense for Research and Engineering (United States)
22 April 2024 • 5:05 PM - 5:45 PM EDT

NATO DIANA: a case study for reimagining defence innovation (Plenary Presentation)
Presenter(s): Deeph Chana, Managing Director, NATO Defence Innovation Accelerator for the North Atlantic (DIANA) (United Kingdom)
22 April 2024 • 5:50 PM - 6:30 PM EDT

Symposium Panel on Microelectronics Commercial Crossover
23 April 2024 • 8:30 AM - 10:00 AM EDT | Potomac A

View Full Details: spie.org/dcs/symposium-panel

The CHIPS Act Microelectronics Commons network is accelerating the pace of microelectronics technology development in the U.S. This panel discussion will explore opportunities for crossover from commercial technology into DoD systems and applications. Experts representing the Microelectronics Commons program, government R&D, commercial industry, DoD industry, and academia will discuss what emerging commercial microelectronics technologies could be most impactful on photonics and sensors and how the DoD might best leverage commercial innovations in microelectronics.

Moderated by:
John Pellegrino
Director, Electro-Optical Systems Lab., Georgia Tech Research Institute (United States)

Break
Coffee Break 10:00 AM - 10:30 AM
Welcome and Opening Remarks
23 April 2024 • 10:30 AM - 10:40 AM EDT | Chesapeake 6
Fernando López, TORNGATS (Canada)
Session 1: Artificial Intelligence and NDE4.0 in IRT
23 April 2024 • 10:40 AM - 12:40 PM EDT | Chesapeake 6
Session Chairs: Fernando López, TORNGATS (Canada), Arantza Mendioroz, Univ. del País Vasco (Spain)
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Author(s): Tiziana Matarrese, Politecnico di Bari (Italy); Roberto Marani, Consiglio Nazionale delle Ricerche (Italy); Davide Palumbo, Politecnico di Bari (Italy); Tiziana D'Orazio, Consiglio Nazionale delle Ricerche (Italy); Umberto Galietti, Politecnico di Bari (Italy)
23 April 2024 • 10:40 AM - 11:00 AM EDT | Chesapeake 6
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The aim of this work is to investigate the influence of lock-in thermography test parameters on the capability to classify buried defects in a CFRP by means of a temporal convolutional neural network. Firstly, a parametric study changing some hyperparameters was carried out to build a suitable 1-D CNN architecture. Then, the performance of the 1-D CNN has been evaluated as a function of some lock-in test parameters. The qualitative and quantitative results have been compared and critically discussed.
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Author(s): Kevin Helvig, Pauline Trouvé-Peloux, Ludovic Gaverina, Jean-Michel Roche, Baptiste Abeloos, ONERA (France)
23 April 2024 • 11:00 AM - 11:20 AM EDT | Chesapeake 6
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“Flying spot” laser infrared thermography (FST) is a non destructive testing technique able to detect small defects by scanning surfaces with a laser heat source. Defects, such as cracks on metallic parts, are revealed by the disturbance of heat propagation measured by an infrared camera. The association of this examination technique with inspection in the visible spectrum, giving access to surface textures and geometries difficult to observe in the IR spectrum, can increase both robustness and performance of the defect detection. However in a deep learning approach, the acquisition of large amounts of visible-IR pairs can be difficult and time-consuming. The present work proposes to explore visible-FST image pairs generation in the context of surface crack detection for metallic materials, using state-of-the-art deep generative models such as Stable Diffusion. Both accuracy of the generated samples and benefits for multi-spectral deep neural models training will be studied.
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Author(s): Sandra Pozzer, Gabriel Ramos, Univ. Laval (Canada); Ehsan Rezazadeh Azar, Toronto Metropolitan Univ. (Canada); Ahmad Osman, Fraunhofer-Institut für Zerstörungsfreie Prüfverfahren IZFP (Germany); Ahmed El Refai, Univ. Laval (Canada); Fernando López, TORNGATS (Canada); Clemente Ibarra-Castanedo, Xavier P. V. Maldague, Univ. Laval (Canada)
23 April 2024 • 11:20 AM - 11:40 AM EDT | Chesapeake 6
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Detecting subsurface damage in thermal images of concrete structures using artificial intelligence (AI) can be a difficult task, particularly when there are not enough annotated samples for deep neural network training. Additionally, false positives caused by thermal patterns on concrete surfaces further compound this issue. This study proposes an approach that employs a few-shot learning method known as the Siamese Neural Network (SNN), to frame the problem of subsurface delamination detection in concrete structures as a multi-modal similarity region comparison problem. The approach was tested on a dataset of 500 image pairs and showed a significant reduction in false positive detection.
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Author(s): Oluseyi A. Oyedeji, Samir Khan, John A. Erkoyuncu, Cranfield Univ. (United Kingdom)
23 April 2024 • 11:40 AM - 12:00 PM EDT | Chesapeake 6
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Corrosion defect is an important area of research focus especially in the engineering research domain due to negative effects such as system breakdown and huge financial loss. The manual method of detecting corrosion is no longer effective. Automation has become necessary in detection of various defects including corrosion. However, there is still a need to create methods with better accuracy and detailed defect information. This research is therefore focused on making use of deep learning and heatmaps to classify multiple stages of corrosion. An initial classification is done and the heatmap result is used as input for another classification stage. The heatmap post-classification method outperformed ordinary binary based and multi-stage corrosion in terms of accuracy at 97.35%. This approach shows a more precise and effective way of detecting corrosion especially on alloys and useful in the Aerospace, Transport and Manufacturing Domain.
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Author(s): Raveen Appuhamy, Yuandi Wu, Faraz Alderson, Stephen A. Gadsden, McMaster Univ. (Canada)
23 April 2024 • 12:00 PM - 12:20 PM EDT | Chesapeake 6
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Electric pumps are widely used in applications such as sanitation, manufacturing and agriculture. Electric current is supplied to the pumps, which translates into a corresponding flow rate and therefore output pressure. This conference paper uses estimation theory and cognitive system techniques to improve the efficiency of electric pumps. Specifically, using the perception-action cycle to observe the states, predict the system behaviour and then optimize it. The Kalman filter is used to develop this control system for the electric pumps. The sensors and pumps used to find the states for the filter are modelled. After which, the control system is integrated into the simulation. The simulation modelled a sprayer that sprayed a fluid on a surface. The simulation compared using a variety of control systems including PID and the Kalman filter and showed the Kalman filter was the most effective.
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Author(s): Peter W. Spaeth, William C. Schneck, Matthew R. Webster, Joseph N. Zalameda, NASA Langley Research Ctr. (United States)
23 April 2024 • 12:20 PM - 12:40 PM EDT | Chesapeake 6
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Imaging and other nondestructive evaluation techniques are commonly used for material characterization and defect recognition in safety critical aerospace applications, with data fusion providing the framework for uncertainty quantification in these contexts. Most commonly, forward physics-based modeling predicts the response conditioned on material properties and defect assumptions, and probabilistic methods are used to infer the hidden state of subject of the inspection from a combination of prior information, likelihoods, and inspection data. In this paper Bayesian methods are used to estimate bond thickness in lap joints comprised of aluminum adherends using a combination of infrared thermography, digital radiography, and ultrasound. The accuracy of the fused estimates are validated against data generated from synthetic specimens, and by comparison against high resolution X-ray computed tomography inspections of built specimens.
Break
Lunch/Exhibition Break 12:40 PM - 2:10 PM
Session 2: Drone and Airborne Thermography: Robotics
23 April 2024 • 2:10 PM - 2:50 PM EDT | Chesapeake 6
Session Chairs: Nicolas P. Avdelidis, Cranfield Univ. (United Kingdom), Michael C. Borish, Oak Ridge National Lab. (United States)
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Author(s): Timo T. Kauppinen, Arctic Construction Cluster Finland (Finland); Sami Siikanen, Marko Savolainen, VTT Technical Research Ctr. of Finland Ltd. (Finland); Petri Nygren, SNAPS Oy (Finland); Marko Paavola, VTT Technical Research Ctr. of Finland Ltd. (Finland)
23 April 2024 • 2:10 PM - 2:30 PM EDT | Chesapeake 6
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The increasing use of unmanned aerial vehicles (drones) and their availability also provide new opportunities for the development of thermal imaging applications. This presentation presents the current applications of some research and development units in Finland and also reflects on the requirements that aerial thermal imaging places on the operation of thermal imagers. In European Union project called S34I, VTT and Smaps Oy together with project consortium partners develop novel in-situ data acquisition methods at both land and shallow waters for mining industry purposes. The goal is to build for example short-wavelength infrared range spectral libraries to be used as ground truth or calibration of Earth observation related methods.
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Author(s): Marc Genest, Shashank Pant, Dmitrii Klishch, National Research Council Canada (Canada); Clemente Ibarra-Castanedo, Xavier P. V. Maldague, Univ. Laval (Canada); Argyrios Zolotas, Nicolas P. Avdelidis, Cranfield Univ. (United Kingdom)
23 April 2024 • 2:30 PM - 2:50 PM EDT | Chesapeake 6
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Drone based inspection systems can fly, hover, and navigate around struc-tures to perform the inspection in an efficient and fast manner and can con-siderably reduce inspection time. While Active thermography is well known NDT method for inspection, using it with a drone is challenging due to the drone needing to carry an appropriate heat source, as well as, batteries or teth-er system to power the heat source and provide adequate flight time. This complicates the inspection process and can restrict the amount of thermal energy that can be applied to the inspected structure. Another challenge with drone-based active infrared thermography (DBAIT) is that, unlike traditional active thermography inspection in which the source is either stationary or move in a precisely controlled manner, the drone and heat source are subject to dynamic motion. This paper presents the results of experiments per-formed to compare potential heat sources that can be retrofitted onboard a drone. Several heat sources were compared for their ability to heat the specimen at various distances. The rise in temperature was compared against a commercially available xenon flash lamps thermographic system.
Break
Coffee Break 2:50 PM - 3:20 PM
Session 3: Hyperspectral and Multispectral Imagery
23 April 2024 • 3:20 PM - 4:40 PM EDT | Chesapeake 6
Session Chairs: Beate Oswald-Tranta, Montan Univ. Leoben (Austria), Xavier P.V. Maldague, Univ. Laval (Canada)
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Author(s): Mads N. Larsen, Univ. of Southern Denmark (Denmark), Newtec Engineering A/S (Denmark); Anders L. Jørgensen, Newtec Engineering A/S (Denmark); Martin L. Henriksen, Aarhus Univ. (Denmark); Victor Petrunin, Newtec Engineering A/S (Denmark); Jakob Kjelstrup-Hansen, Univ. of Southern Denmark (Denmark); Bjarke Jørgensen, Newtec Engineering A/S (Denmark); Mogens Hinge, Aarhus Univ. (Denmark)
23 April 2024 • 3:20 PM - 3:40 PM EDT | Chesapeake 6
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A hyperspectral thermal imager developed inhouse is used for segregation of commercial plastics. The imager combines an uncooled microbolometer equipped thermal camera and a low-order scanning Fabry-Pérot interferometer placed in front of its collecting optics. The distribution of transmitted wavelengths is determined by the distance between the two interferometer mirrors. Data cubes are constructed by capturing images at different mirror separations and the recorded interferograms are subject to subsequent analysis. Twelve types of plastics have been heated to 60°C and imaged before being identified based on a nine-component principal component model and k-nearest neighbors.
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Author(s): Andrew Ngo, Jonathan Zheng, A*STAR Institute of Materials Research and Engineering (Singapore); Ngai-Man Cheung, U-Xuan Tan, Singapore Univ. of Technology and Design (Singapore)
23 April 2024 • 3:40 PM - 4:00 PM EDT | Chesapeake 6
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Singapore produced more than 982,000 tonnes of plastic waste in 2021. Plastic waste is among the top 4 generated wastes in volume. Astonishingly, plastic waste has one of the lowest recycling rates of just 6% compared to the other 3 highly generated wastes (99% for ferrous metal, 39% for paper, 99% for construction waste). Critically, the lack of effective plastic waste sorting technologies is one key factor that inhibits recycling rate. Existing plastic sorting relies on manual checking of the printed RIC on plastic wastes. As the printed RIC codes could be small in size, printed at different locations on the plastic objects, and potentially contaminated with dirt, mud, filth, etc., manual plastic sorting is slow, labour intensive, error-prone and poses health risks to facility workers. Overall, existing plastic sorting is ineffective and is a critical barrier in plastic recycling. In this presentation, we report our work on the development of novel AI/ML-assisted multispectral and hyperspectral imaging technologies and integrate that into a robotic platform for automatic plastic waste sorting and recycling. The outcome is a noticeable increase in plastic waste recycling rate.
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Author(s): Joseph Carrock, Antoine Dumont, Mark Norman, Telops Inc. (Canada)
23 April 2024 • 4:00 PM - 4:20 PM EDT | Chesapeake 6
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We present measurements of controlled Li-ion battery explosions using high-speed infrared thermography to elucidate the effects of this phenomenon. In one study, commercial Li-ion batteries were perturbed by slow heating and by rapid puncture at various states of charge (SOC). The results indicate that the SOC has a significant impact on the magnitude of the battery explosion, regardless of the way the battery is perturbed. Another study tested varied heating rates in thermal abuse tests and showed that faster heating also leads to more violent thermal runaway. Within those measurements, the plumes emanating from the safety vents on the batteries were clearly observed. This work focuses on the propagation of the explosion immediately after the battery detonation event and the implications of the results for designing safer, more reliable Li-ion battery systems.
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Author(s): Francisco Perez, Franco Rivas, Pablo Gutierrez, Walter Diaz, Roberto Parra, Sergio Torres, Univ. de Concepción (Chile)
23 April 2024 • 4:20 PM - 4:40 PM EDT | Chesapeake 6
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Copper smelting and copper conversion are highly exothermic pyrometallurgical processes. The VIS-NIR radiation emitted by the copper compounds generated in these processes is rich in both thermal and chemical information. However, the harsh industrial conditions in which these processes occur impose a challenge on the development of sensing technology for monitoring and control. In this paper, we propose a radiometrically-calibrated VIS-NIR multispectral camera system as a contactless tool suitable for discriminating between copper compounds commonly found in the copper pyrometallurgical industry. Specifically, by combining spectral-emissive-power images and a radiation thermometry method, spectral-emissivity images are generated to study the physical characteristics of the copper compounds. Laboratory experiments were carried out to image molten copper compounds at 1500 K. The results show that the emissivity observed in the images is directly related to the copper content of each compound, thus rendering the spectral emissivity as a key indicator to distinguish between them.
Poster Session
23 April 2024 • 6:00 PM - 7:30 PM EDT | Potomac C
Conference attendees are invited to attend the symposium-wide poster session on Tuesday evening. Come view the SPIE DCS posters, enjoy light refreshments, ask questions, and network with colleagues in your field. Authors of poster papers will be present to answer questions concerning their papers. Attendees are required to wear their conference registration badges to the poster session.

Poster Setup: Tuesday 12:00 PM - 5:30 PM
Poster authors, view poster presentation guidelines and set-up instructions at http://spie.org/DCSPosterGuidelines.
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Author(s): Masashi Ishikawa, Tokushima Univ. (Japan); Stefano Sfarra, Univ. degli Studi dell'Aquila (Italy); Panagiotis Theodorakeas, National Technical Univ. of Athens (Greece)
23 April 2024 • 6:00 PM - 7:30 PM EDT | Potomac C
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This study reports the results of active thermography non-destructive inspection of an ornamented ancient fireplace. The condition of the fireplace was evaluated from the recorded raw thermal images and from the results of applying some post processing algorithms to the thermal data. Also, based on the results, the possibility of using other heating methods, such as the cyclic heating at a certain frequency, as well as other image processing techniques for similar types of artworks will be discussed.
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Author(s): Rosanna Forster, Antonio Feteira, Dimitra Soulioti, Sheffield Hallam Univ. (United Kingdom); Sotirios A. Grammatikos, Norwegian Univ. of Science and Technology (Norway); Evangelos Kordatos, Sheffield Hallam Univ. (United Kingdom)
23 April 2024 • 6:00 PM - 7:30 PM EDT | Potomac C
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Fused filament fabrication (FFF) is the most widely used additive manufacturing (AM) technique to produce fibre-reinforced polymer matrix composites, due to their low wastage, geometric flexibility and ease of use. Composite materials generally have superior properties such as being stiffer and more robust than conventional materials at a reduced weight leading to their application in a wide variety of sectors (aerospace, automotive etc). However, composites manufactured in this way are highly susceptible to defects such as high void content and poor bond quality at the fibre and matrix interfaces. These defects stop fibre-reinforced composite materials manufactured this way meeting industry standards and being used for structural applications. In the present work, a combination methodology of Infrared thermography (IRT) and acoustic emission (AE) alongside tensile testing has been developed to investigate the structural integrity and mechanical performance of AM fibre-reinforced composites. Pure polymer samples and short and continuous fibre reinforced composites were manufactured their mechanical properties were observed.
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Author(s): Sara Shahsavarani, Univ. Laval (Canada); Fernando López, TORNGATS (Canada); Clemente Ibarra-Castanedo, Xavier P. V. Maldague, Univ. Laval (Canada)
23 April 2024 • 6:00 PM - 7:30 PM EDT | Potomac C
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The accurate segmentation of defects in infrared and visible images is critical for non-destructive testing applications, however, those steps are often excluded by limited annotated training data. This paper presents an innovative approach for the segmentation of tasks into a unified framework. The proposed method introduces and tests a novel self-supervised framework tailored to the domain of infrared and visible imaging. This framework eliminates the need for annotated data during training, enabling models to adapt to real-world scenarios where annotations are scarce. To enhance the accuracy of segmentation and classification, it leverages superpixel-based pseudo-labels, guiding the learning process.
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Author(s): Bardia Yousefi, Univ. of Maryland, College Park (United States); Xavier P. V. Maldague, Univ. Laval (Canada)
23 April 2024 • 6:00 PM - 7:30 PM EDT | Potomac C
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Dynamic thermography is an established diagnostic tool for very early diagnosis of breast cancer, can be used before mammography and along with clinical breast examination (CBE). Temporal thermographic imaging biomarkers, often referred to as thermomics, are used to identify abnormal vasodilation and lesions within breast tissue. In addition, the detection of heterogeneous thermal patterns can signify angiogenesis, the formation of new blood vessels. This study applied thermal imaging biomarkers, and thermographic imaging, extracted from a neural network equipped with attention mechanism which increases the possibility of more effective deep thermomics, which can significantly aid diagnosis of breast vasodilatory detection through more attention to heterogeneous thermal patterns. This leads to very early detection of breast cancer as a preventive measure. The best results of the model yield 78.6% (±3.2%). The model was trained with constant hyperparameters setting across the comparison with our previously presented approach, sparse autoencoder - SPAER, to predict abnormality, and the results demonstrated promising preliminary performance. Thermomics guided by attention blocks have
Symposium Plenary on AI/ML + Sustainability
24 April 2024 • 8:30 AM - 10:00 AM EDT | Potomac A
This plenary session will focus on the SPIE Defense + Commercial Sensing application tracks of AI/ML and Sustainability, discussing use of artificial intelligence, machine learning, and deep learning to create and implement intelligent systems across multiple sectors, technologies, and applications, and sustainability, highlighting the use of optics and photonics for renewable energy, natural resource management, sustainable manufacturing, and greenhouse gas mitigation in support of the UN Sustainable Development Goals.
Break
Coffee Break 10:00 AM - 10:30 AM
Opening Remarks
24 April 2024 • 10:30 AM - 10:40 AM EDT | Chesapeake 6
Nicolas P. Avdelidis, Cranfield Univ. (United Kingdom)
Session 4: IR NDT Applications I
24 April 2024 • 10:40 AM - 12:40 PM EDT | Chesapeake 6
Session Chairs: Nicolas P. Avdelidis, Cranfield Univ. (United Kingdom), Giovanni Ferrarini, Istituto per le Tecnologie della Costruzione (Italy)
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Author(s): Bruno P. Barella, Univ. Federal de Uberlândia (Brazil); Nicolas P. Avdelidis, Cranfield Univ. (United Kingdom); Henrique C. Fernandes, Univ. Federal de Uberlândia (Brazil), Cranfield Univ. (United Kingdom)
24 April 2024 • 10:40 AM - 11:00 AM EDT | Chesapeake 6
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This article presents an innovative approach aimed at enhancing the characterization of discontinuities through the processing of thermographic images. The methodology employed combines self-organizing maps (SOM) with bio-inspired parameter optimization, specifically utilizing the bee colony optimization technique. The primary focus is on improving the quality of the fault quantification metric known as the signal-to-noise ratio (SNR). The experiment's success underscores the potential of this approach, highlighting its significant impact on the field of thermography, particularly in the realm of composite material fault detection and characterization.
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Author(s): Beate Oswald-Tranta, Alexander Hackl, Montan Univ. Leoben (Austria); Eider Gorostegui-Colinas, Ander Muniategui, Lortek S.Coop. (Spain); Philipp Westphal, GKN Aerospace (Sweden)
24 April 2024 • 11:00 AM - 11:20 AM EDT | Chesapeake 6
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Inductive thermography is a non-destructive inspection technique. The sample is heated with a short heating pulse and an IR camera records the surface temperature, which is then evaluated to a phase image by Fourier transform. The technique can be well applied for detecting cracks in metals. But it has also the advantage that it provides information regarding the depth of the crack. Larger contrast is an indication of deeper cracks, while small contrasts refer to shallow cracks. Therefore, the phase contrast can be used to make an estimation of the considered crack. In order to investigate these capabilities, short cracks (length =0.3-3 mm) were created in Inconel 718 welded samples by a Varestraint test machine. The samples were then inspected with inductive thermography, computer tomography (CT) and by fluorescent penetrant test (FPI). The crack lengths obtained by all the three methods are compared. The dependency of the phase contrast on the crack depth and length is then analyzed in comparison to the CT results. Finally, additional finite element simulations were carried out and compared to the experimental results.
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Author(s): Christoph Tuschl, Beate Oswald-Tranta, Montan Univ. Leoben (Austria); Peter Dornig, ÖBB-Infrastruktur AG (Austria); David Künstner, voestalpine Rail Technology GmbH (Austria); Melanie Pötz, voestalpine Railway Systems GmbH (Austria); Sven Eck, Materials Ctr. Leoben Forschung GmbH (Austria)
24 April 2024 • 11:20 AM - 11:40 AM EDT | Chesapeake 6
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Due to beneficial mechanical properties, cast Manganese (Mn12) steel is used for premium grade railway turnout frogs worldwide. However, its coarse-grain structure makes common non-destructive testing (NDT) methods for defect detection used in this industry very difficult to apply. Inductive thermography is a NDT method well suited for this problem. Scanning inductive thermography is used to localise surface defects on the running surfaces of turnout frogs. Once localised, we propose additional static measurements to characterise the detected surface defects with respect to crack length, depth and penetration angle. Simulations with ANSYS Multiphysics are conducted to study the influence of different crack geometries as well as the influence of different excitation parameters. Validation measurements on samples with defined crack geometries are conducted. The results of both, simulation and measurements on samples, are used to characterize surface defects on actual manganese turnout frogs.
13047-17
Author(s): Giuseppe Dell'Avvocato, Anna Castellano, Mariia Rashkovets, Davide Palumbo, Nicola Contuzzi, Giuseppe Casalino, Umberto Galietti, Politecnico di Bari (Italy)
24 April 2024 • 11:40 AM - 12:00 PM EDT | Chesapeake 6
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In the present study, two plates of different aluminium alloys (AA2024-T3 and AA6082-T6) with thicknesses of 0.8 mm and 1.4 mm, respectively, were welded using Probeless Friction Stir Spot Welding (P-FSSW) process, which is one of the most cost-effective solid-state in the automotive field. Two lap-welded joints were obtained by varying the process parameters, one meeting the desired criteria and the other not. Subsequently, a preliminary thermographic procedure was developed, based on long-pulsed laser thermography, to assess the quality of the joints by quantitatively evaluating the welded region. For calibration purposes, non-destructive ultrasonic tests were conducted, and the results were employed to calibrate the thermographic procedure. The procedure thus derived was then tested on a second joint, evaluating the thermographic technique's ability to differentiate between a suitable and an unsuitable joint.
13047-18
Author(s): Giuseppe Masciopinto, Giuseppe Dell'Avvocato, Ester D'Accardi, Davide Palumbo, Umberto Galietti, Politecnico di Bari (Italy)
24 April 2024 • 12:00 PM - 12:20 PM EDT | Chesapeake 6
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Laser thermography is a well-established technique for crack detection; however, ongoing research activities are focused on the inverse problem, which involves quantifying the size of cracks. This study considered line-scan laser thermography, where the laser source has a linear geometry and moves at a constant velocity relative to the component with a known finite crack. A finite element model was developed to evaluate the variations in crack detectability concerning test parameters and the relative position between the laser source and the crack. In this model, the crack was simulated as a thermal contact resistance rather than a geometric entity, as previously presented in the literature. Experimental tests were conducted on a steel specimen with known crack geometries to validate the developed finite element model. Subsequently, the model was employed to identify regions of maximum crack detectability as functions of process parameters and the linear geometry of the laser source.
13047-25
Author(s): Rocco Zito, Univ. della Calabria (Italy); Giovanni Ferrarini, Paolo Bison, Istituto per le Tecnologie della Costruzione (Italy), Consiglio Nazionale delle Ricerche (Italy); Stefano Laureti, Marco Ricci, Univ. della Calabria (Italy)
24 April 2024 • 12:20 PM - 12:40 PM EDT | Chesapeake 6
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The simultaneous multi-frequency lock-in thermography is used here for estimating the thermal properties of a thermal barrier coating layer. It is demonstrated that the technique can be a robust alternative to standard means of parameters' estimation, e.g. carried out using lock-in at multiple frequencies or pulsed thermography, providing several practical advantages such as the reduced measurement time and flexibility on the achievable SNR.
Break
Lunch/Exhibition Break 12:40 PM - 2:10 PM
Session 5: Keynote Session
24 April 2024 • 2:10 PM - 2:50 PM EDT | Chesapeake 6
Session Chair: Fernando López, TORNGATS (Canada)
13047-1
Author(s): Andreas Mandelis, Univ. of Toronto (Canada)
24 April 2024 • 2:10 PM - 2:50 PM EDT | Chesapeake 6
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The combination of spatial second derivative forming, spatial gradient adaptive filtering, experimental photothermal point spread function (PPSF) construction, and Richardson-Lucy deconvolution allowed for the achievement of spatial super-resolution in thermophotonic imaging. This is a breakthrough since traditional limitations, which are caused by lateral and axial heat diffusion, were overcome. With enhanced truncation-correlation photothermal coherence tomography (eTC-PCT), it was possible to restore blurred infrared thermophotonic images to their pre diffusion optical resolution state. This modality was tested in various biological applications and proved to be capable of imaging fine axial cracks in human teeth, well-patterned anatomical subsurface structures of the mouse brain, and neovascularization in a mouse thigh due to the rapid proliferation of cancer cells. The modality was found to be immune to optical scattering and could reveal the true spatial extent of biological features at subsurface depths that conventional thermal imaging cannot reach due to limitations imposed by the physics of spreading diffusion. In a recent non-destructive imaging application the super-resolution method produced non-destructive 3D images of metal cracks in manufacturing components.
Break
Coffee Break 2:50 PM - 3:20 PM
Session 6: Additive Manufacturing
24 April 2024 • 3:20 PM - 4:40 PM EDT | Chesapeake 6
Session Chairs: Michael C. Borish, Oak Ridge National Lab. (United States), Peter W. Spaeth, NASA Langley Research Ctr. (United States)
13047-19
Author(s): Rosanna Forster, Antonio Feteira, Dimitra Soulioti, Sheffield Hallam Univ. (United Kingdom); Sotirios A. Grammatikos, Norwegian Univ. of Science and Technology (Norway); Evangelos Kordatos, Sheffield Hallam Univ. (United Kingdom)
24 April 2024 • 3:20 PM - 3:40 PM EDT | Chesapeake 6
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Fused filament fabrication (FFF) is the most widely used additive manufacturing (AM) technique to produce fibre-reinforced polymer matrix composites, due to their low wastage, geometric flexibility and ease of use. However, composites manufactured in this way are highly susceptible to defects such as high void content and poor bond quality at the fibre and matrix interfaces. In the present work, a combination method of Infrared Thermography and micro-computerised tomography was developed for the monitoring of the FFF AM process. Both pure plastic and fibre-reinforced composites were manufactured, and the detection and development of defects created during the printing process were monitored. This combination of techniques allows for detection of defects such as porosity, voids and poor fibre-matrix bonding during printing and the verification of their presence after the printing without the need for destructive testing.
13047-20
Author(s): Angelos Plastropoulos, Muhammet E. Torbali, Cranfield Univ. (United Kingdom); Nicolas P. Avdelidis, Cranfield Univ. (United Kingdom), Univ. Laval (Canada); Clemente I. Castanedo, Xavier P. V. Maldague, Univ. Laval (Canada); Matthieu Klein, Visiooimage inc. (Canada)
24 April 2024 • 3:40 PM - 4:00 PM EDT | Chesapeake 6
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The aerospace industry is increasingly using composite materials in aircraft manufacturing to reduce weight and improve fuel efficiency. However, these composites are susceptible to defects, which require advanced Non-Destructive Testing (NDT) techniques for their detection and evaluation. Phased Array Ultrasonic Testing and Active Thermography are two NDT techniques that can identify defects such as delaminations, cracks, voids, and porosity. A synergistic approach that combines the capabilities of both techniques promises enhanced aircraft safety and composite structure reliability. The proposed approach involves using infrared thermography for initial inspections, followed by PAUT inspections that provide detailed defect profiling.
13047-21
Author(s): Joseph N. Zalameda, Samuel J. Hocker, Peter W. Spaeth, NASA Langley Research Ctr. (United States); Brandon Widener, Analytical Mechanics Associates, Inc. (United States)
24 April 2024 • 4:00 PM - 4:20 PM EDT | Chesapeake 6
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Certification of additive manufactured metal parts requires nondestructive evaluation (NDE) to ensure build quality. NDE can be performed during the build process or post build. For large parts with complex geometries, post build NDE can be challenging. In-situ NDE potentially provides a way to perform the inspection layer by layer. This work explores the use of a high speed near infrared (NIR) camera that is focused in-line with a laser to obtain high spatial and temporal resolution thermal imagery of the melt pool and associated cooling areas.
13047-22
Author(s): David A. Vaitekunas, Jim Thompson, James Crawford, W. R. Davis Engineering, Ltd. (Canada)
24 April 2024 • 4:20 PM - 4:40 PM EDT | Chesapeake 6
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The latest version of ShipIR/NTCS (v4.3) includes a more generalized 4-point (quad) element type that not only reduces the total number of surface elements in the ShipIR model, but also delivers a higher-quality coarse wall boundary mesh on which to construct the coupled CFD wall boundary and volume meshes for use in CFD analysis. The objective of the current paper is to explore the impact of these improvements on the coupled ShipIR / ANSYS Fluent CFD model solutions previously discussed for both naval ships (Vaitekunas et al, 2011) and aircraft (Vaitekunas 2022). In the case of the naval ship, methods and inputs used to characterize the exhaust gas plume trajectory and associated risk of plume impingement on specific areas of the superstructure are described and applied to a coupled ShipIR / ANSYS Fluent CFD model of the CFAV Quest. These techniques are used during the detailed design phase of a new warship to help further reduce the risk of combat system equipment failure and/or elevated thermal IR signatures associated with exhaust gas impingement heating.
Selection of Best Student Paper Award
24 April 2024 • 4:40 PM - 5:00 PM EDT | Chesapeake 6
Join us for the selection of the Thermosense Best Student Paper Award.
Thermosense Committee Annual Meeting
24 April 2024 • 5:00 PM - 5:40 PM EDT | Chesapeake 6
Join the Thermosense Committee for its Annual Meeting at SPIE DCS 2024.
Opening Remarks
25 April 2024 • 8:30 AM - 8:40 AM EDT | Chesapeake 6
Giovanni Ferrarini, Istituto per le Tecnologie della Costruzione (Italy)
Session 7: IR NDT Applications II
25 April 2024 • 8:40 AM - 10:20 AM EDT | Chesapeake 6
Session Chairs: Giovanni Ferrarini, Istituto per le Tecnologie della Costruzione (Italy), Arantza Mendioroz, Univ. del País Vasco (Spain)
13047-23
Author(s): Ester D'Accardi, Giuseppe Dell'Avvocato, Giuseppe Masciopinto, Davide Palumbo, Umberto Galietti, Politecnico di Bari (Italy)
25 April 2024 • 8:40 AM - 9:00 AM EDT | Chesapeake 6
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Head checks and transversal cracks are very common defects on rails due to rolling contact fatigue phenomena. Railway rails are usually inspected through of ultrasound, visual inspection, and eddy current testing, with some limits due to the contact with the component and the number and type of detectable defects. In the last years induction and laser thermography have been proposed as innovative non-destructive techniques for rail inspection, with interesting results, considering low speeds and laboratory setups. In this work, we show some results from inspecting rail pieces after induction and line laser thermographic tests, considering the inspected component moving at speeds up to 10 km/h. The advantages and disadvantages of both techniques are compared and analysed. To align with on-site applications, some preliminary tests have performed considering a possible configuration with mirrors, to inspect rail head and foot using both techniques at simultaneously. Following an investigation into the effects of test parameters on the detectability of the relevant cracks, a preliminary procedure for detecting real cracks is introduced, validate through an experimental campaign.
13047-24
Author(s): Paolo Bison, Giovanni Ferrarini, Consiglio Nazionale delle Ricerche (Italy); Christ Glorieux, KU Leuven (Belgium); Junko Morikawa, Shuji Kamegaki, Tokyo Institute of Technology (Japan); Stefano Rossi, Consiglio Nazionale delle Ricerche (Italy); Meguya Ryu, National Institute of Advanced Industrial Science and Technology (Japan), National Metrology Institute of Japan (Japan)
25 April 2024 • 9:00 AM - 9:20 AM EDT | Chesapeake 6
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In the proposed method, a pulse of 2 ms duration is produced by a laser, and periodically projected on the surface of an opaque sample of which the thermal parameters have been determined by classical measurements. The spatial distribution of the laser light pattern is random, after passing through a mask like a QRcode. Several masks with different spatial features and distribution were prepared by sputtering thin layer (100 nm) of gold on a piece of glass covered by a pattern. Using the masks, samples were photothermally excited by impulsive laser light patterns. The resulting dynamic temperature field evolution at the sample surface was observed by a fast IR camera (FLIR X6981 SLS) in the LW, and the thermal diffusion process was recorded by a sequence of IR images. In this contribution, a theoretical model is described and utilized to analyze the spatiotemporal dependence of the temperature field. Data fitting is used to estimate the thermal diffusivity of the material under test. The resulting values are compared to the results obtained by the classical photothermal techniques.
13047-26
Author(s): Fernando López, TORNGATS (Canada); Armando Albertazzi, Analucia Vieira Fantin, Univ. Federal de Santa Catarina (Brazil)
25 April 2024 • 9:20 AM - 9:40 AM EDT | Chesapeake 6
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This paper focuses on the application of Shearography and Infrared Thermography in inspecting composite materials, especially under thermal-modulated excitation. The study encompasses a comprehensive review of fundamental principles, experimental configurations, and parameters relevant to both Shearography and Infrared Thermography. It also investigates how parameters linked to this excitation modality influence the detection perform
13047-27
Author(s): Steven M. Shepard, Thermal Wave Imaging, Inc. (United States)
25 April 2024 • 9:40 AM - 10:00 AM EDT | Chesapeake 6
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Since its introduction in the 1980s, flash thermography has benefited from significant advances in its underlying camera and computer technologies. However, for many, the flash excitation has remained essentially unchanged: A helical or U-shaped xenon flashlamp with power supply designed for use in commercial photography. The combined unit is generally described in the literature as 4-6 kJoules of energy with duration 2-3 msec. However, for the purposes of thermography, this description is incomplete. The specification and application of flash excitation should be based on the objective of the experiment (qualitative detection vs. measurement), the sample material and its properties and the size, depth, and type of likely defects. In this paper, we compare the effects of varying flash energy by adjustment of flashlamp voltage and truncation of the flash duration in terms of energy absorbed, saturation, detection of shallow and deep defects and generation of artifacts.
13047-28
Author(s): Fernando López, TORNGATS (Canada); Clemente Ibarra-Castanedo, Univ. Laval (Canada); Matthieu Klein, Visiooimage inc. (Canada)
25 April 2024 • 10:00 AM - 10:20 AM EDT | Chesapeake 6
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This study investigates the use of eddy-current infrared thermography (ECIT) for non-destructive corrosion detection in steel structures. It compares two ECIT methods: the eddy current line scan thermography (EC-LST) using an uncooled microbolometer, and a manual thermal photocopier with a high-definition camera. These techniques are evaluated against traditional methods like pulsed thermography, which often struggle with non-uniform heating issues. Experiments conducted on a steel plate with varying degrees of artificial corrosion tested the sensitivity and accuracy of both ECIT configurations. The EC-LST synchronizes the camera and coil movements, while the manual method keeps the camera static and moves the coil. The study also addresses the challenge of distinguishing true corrosion from other defects by comparing ECIT results with phase-array ultrasonic testing. Preliminary findings suggest that ECIT, especially with these configurations, effectively detects corrosion with reduced false positives, offering a promising alternative to traditional methods. Enhanced contrast through eddy current stimulation significantly improves corrosion detection, demonstrating the potential
Break
Coffee Break 10:20 AM - 10:50 AM
Session 8: Aerospace Applications
25 April 2024 • 10:50 AM - 12:10 PM EDT | Chesapeake 6
13047-29
Author(s): Zulham Hidayat, Nicolas P. Avdelidis, Cranfield Univ. (United Kingdom); Vassilios Kappatos, Ctr. for Research and Technology Hellas (CERTH) (Greece); M. Ebubekir Torbali, Cranfield Univ. (United Kingdom)
25 April 2024 • 10:50 AM - 11:10 AM EDT | Chesapeake 6
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Composite materials are utilised in several industries such as aviation, and civil engineering due to their special mechanical properties. However, faults such as delamination can severely damage their structural integrity. Accurate detection and characterization of such defects remain a challenge with existing non-destructive testing (NDT) techniques. This paper will discuss the possibility of combining acousto-ultrasonics and thermography to accurately identify and quantify delamination on the subsurface of a composite material. It is expected that this NDT combination could enhance the inspection technique in composite material.
13047-30
Author(s): Arantza Mendioroz, David Sagarduy-Marcos, Jon Pérez-Arbulu, Javier Rodríguez-Aseguinolaza, Univ. del País Vasco (Spain); Ricardo Celorrio, José Carlos Ciria, Univ. de Zaragoza (Spain); Jean-Christophe Batsale, Univ. de Bordeaux (France); Agustín Salazar, Univ. del País Vasco (Spain)
25 April 2024 • 11:10 AM - 11:30 AM EDT | Chesapeake 6
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We apply lock-in infrared thermography with homogeneous illumination to characterize semi-infinite delaminations (infinite in one direction but with finite length in the perpendicular direction), i.e., we determine the delamination depth, length and thickness. We present two independent calculations of the surface temperature amplitude and phase: a semi-analytical solution by applying the cosine Fourier transform and the quadrupoles method, and a numerical calculation using finite element modelling. The sensitivity analysis indicates that both amplitude and phase data are required to obtain the three parameters (depth, length and width of the delamination) simultaneously. By fitting experimental data taken on AISI-304 stainless steel samples containing calibrated delaminations of different lengths and widths and located at different depths, we prove that it is possible to characterize semi-infinite delaminations with lock-in IRT.
13047-31
Author(s): Lusitha Shyamal Ramachandra, Fakhre Ali, Angelos Plastropoulos, Nicolas P. Avdelidis, Martin Skote, Cranfield Univ. (United Kingdom)
25 April 2024 • 11:30 AM - 11:50 AM EDT | Chesapeake 6
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The energy absorbed by the wheels and brakes have a significant impact on the nitrogen pressure within the tyre, which can potentially impact its performance. This paper explores the potential of employing an infrared thermographic imaging approach to capture the wheels and brakes temperature variations under various ground operating scenarios while catering for changes in ambient conditions on a live aircraft. The acquired results from the infrared thermographic camera have been evaluated to discuss the variation in wheels and brakes temperature under various scenarios, as well as their dependency on the ambient conditions. This provides necessary understanding of the wheels and brakes heat dissipation patterns across various wheels and brakes components based on aircraft operational parameters and external environment. The acquired results pave the scientific foundation to further develop the engineering understanding of the wheels and brakes temperature influence on the tyre nitrogen pressure.
13047-32
Author(s): Joseph N. Zalameda, Peter W. Spaeth, Samuel J. Hocker, NASA Langley Research Ctr. (United States)
25 April 2024 • 11:50 AM - 12:10 PM EDT | Chesapeake 6
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Thermal inspections of a structure typically utilize a flash or quartz lamp heat source located on the same side of an infrared camera. The heat source provides light energy for heating while the infrared camera measures the surface transient temperature response. This type of inspection can be difficult for low emissivity surfaces for several reasons. In this paper, a pulsed light emitting diodes (PLED) heat source is used. This PLED heat source is spectrally narrow, contained within the visible band, and therefore not detectable by the infrared camera.
Best Student Paper Award Ceremony
25 April 2024 • 12:10 PM - 12:25 PM EDT | Chesapeake 6
Join us to congratulate the recipient of the Thermosense Best Student Paper Award.
Conference Chair
TORNGATS (Canada)
Conference Co-Chair
Cranfield Univ. (United Kingdom)
Conference Co-Chair
Istituto per le Tecnologie della Costruzione (Italy)
Program Committee
Consiglio Nazionale delle Ricerche (Italy)
Program Committee
Oak Ridge National Lab. (United States)
Program Committee
La Jolla Cove Consulting (United States)
Program Committee
Drysdale and Associates, Inc. (United States)
Program Committee
Colbert Infrared Services, Inc. (United States)
Program Committee
FM Global (United States)
Program Committee
Texas A&M Univ. (United States)
Program Committee
Arctic Construction Cluster Finland (Finland)
Program Committee
Siemens Power Generation, Inc. (United States)
Program Committee
IRCAM GmbH (Germany)
Program Committee
Univ. Laval (Canada)
Program Committee
Univ. of the Basque Country (Spain)
Program Committee
Tokyo Institute of Technology (Japan)
Program Committee
Thermal Imaging Consultant (United States)
Program Committee
Montan Univ. Leoben (Austria)
Program Committee
Consultant (United States)
Program Committee
Vicon Infrared (United States)
Program Committee
SI Termografía Infrarroja (Argentina)
Program Committee
The Boeing Co. (United States)
Program Committee
Kobe Univ. (Japan)
Program Committee
Thermal Wave Imaging, Inc. (United States)
Program Committee
VTT Technical Research Ctr. of Finland Ltd. (Finland)
Program Committee
NASA Langley Research Ctr. (United States)
Program Committee
Stockton Infrared Thermographic Services, Inc. (United States)
Program Committee
Infrared Cameras, Inc. (United States)
Program Committee
National Research Tomsk Polytechnic Univ. (Russian Federation)
Program Committee
General Atomics Aeronautical Systems, Inc. (United States)
Program Committee
NASA Langley Research Ctr. (United States)
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