Thermosense is the oldest and largest international technical conference focused on scientific, industrial, and medical uses of infrared imaging, infrared temperature measurements, and image analysis. Its regular printed 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. Thermosense encompasses 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 would like to have special sessions on (1) In-process monitoring and additive manufacturing, (2) Automatic inspection, predictive maintenance, quality control and AI, and (3) Multispectral and multi-imaging techniques.

Best Student Paper Award

The Conference Chair, Co-Chair 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 orally at Thermosense.

Prize: A certificate and a FLIR One Pro for iPhone to the student.

Academics, 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 in Infrared applications 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 pandemic Power Generation and Distribution Research and Development Remote Sensing and Security Robotic Applications Standards, Certifications and Guidelines

Selected papers will be recommended for publication in related SPIE journals such as Optical Engineering and Journal of Electronic Imaging.

Thermosense Vendor Presentation and Reception XVIII
CALL FOR PRESENTATIONS

Calling all SPIE - DCS 2022 Exhibiting Companies – Gaylord Palms Hotel Orlando, Florida

Monday 4 - April 2022

Share the Latest – What's new in hardware & software for thermography, thermal imaging, and non-contact temperature measurement?

The Vendors Session started eighteen 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 Defense + Commercial Sensing (DCS) technical audience prior to the opening of the DCS22 Expo. In a relaxed atmosphere, enjoy a casual meeting setting with ample time for questions and answers. This session enables the conference attendees and visitors to better prioritize their activities when visiting the Expo (highlights your company)

Session includes:

For more information please check the following link:

Guidelines - General and specific topics

Audience background:

Innovative infrared systems & applications research, Applications engineers & professionals, Advanced optics engineers, Photonics and imaging researchers, Photonics Engineering, Infrared systems engineers, Calibration & Test engineers, Academics, Physicists, Exhibition-Only Visitors, and other Exhibitor Representatives (DCS-2022).

To Participate:

Open to all DCS22 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, thermometry Hardware, Optics, Accessories, and Software. Session format features 12-16 minutes oral presentations from hardware, software, artificial Intelligence involved, whose product lines impact thermal imaging applications and the infrared industry in general. No additional charge to participate. Reservations are open now, with limited time slots available.

If you are interested in participating, or have any questions, please contact moderators:

2022 Vendors in Presentation Order:
(List of presentations in progress)


Reynard Corporation (Booth TBD - VS1)
Title: Narrow Bandpass MWIR - LWIR Coatings
Presenter: Chris Karp, Position: Business Development Exec

SCD Group – SCD, SCDUSA, QI (Booth TBD - VS2)
Title: New products and Technology Update at SCD Group
Presenter: Kobi Zaushnizer, Position: VP Business Development & Marketing

Telops (Booth TBD - VS3)
Title: Telops New Infrared Cameras
Presenter: Marie-Eve Lang, Position: Marketing Coordinator

InfraTec infrared LLC (Booth TBD - VS4)
Title: News from InfraTec
Presenter: Sven-A. Wode, Position: Manager Business Development International

INO (Booth TBD - VS5)
Title: THz Optics Characterization From INO
Presenter: Pierre Talbot, Position: Business Development Manager

G&H Photonics (Booth TBD - VS6)
Title: The Smarter Lens - A Continuous Push for More Functionality
Presenter: Sam Wyman, Position: Business Development Manager - A&D

LYNRED USA (Booth TBD - VS7)
Title: Advancements in Infrared Imaging Technology
Presenter: Kate Hogerty, Position: Marketing Manager

Teledyne FLIR (Booth TBD – VS8)
Title: Long Distance signature measurements – How Teledyne FLIR solutions help solve the “zoom problem”
Presenter: Desmond Lamont, Position: Global Business Development Manager - Defense R&D / Test Ranges

EMF (Booth TBD – VS9)
Title: Overcoming DLC Coating Challenges on Chalcogenides
Presenter: Ray Pini, Position: IR Business Development Manager

Thales Cryogenics B.V. (Booth TBD – VS10)
Title: Update on Thales Rotary and Linear cryocoolers
Presenters: Kevin Giesen / Virginie Condo, Positions: Sales Director USA & Sales Manager

SWIR Vision Systems (Booth TBD – VS11)
Title: Multi-megapixel SWIR and eSWIR Cameras with Colloidal Quantum Dot Sensors for Industrial and Security Applications
Presenter: Ethan Klem, Position: Chief Technology Officer

Ophir Optronics Solutions LTD an MKS Company (Booth TBD – VS12)
Title: IR thermal imaging zoom lenses solutions for counter-drone applications
Presenter: Dr. Kobi Lasri, Position: General Manager - Ophir Optronics Solutions

RICOR USA Inc. (Booth 1301 – VS13)
Title: Ricor's Advanced Cryocoolers for HOT IR detectors
Presenter: Vicky Segal, Position: RICOR VP Marketing & Sales, RICOR USA CEO

Only this session (Vendors Session) does not require to submit an abstract and does not require a manuscript.
For vendors session please contact the moderator’s directly in order to apply. (see above link guidelines)
All other presentations require as usual submit an abstract and a manuscript.

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In progress – view active session
Conference 12109

Thermosense: Thermal Infrared Applications XLIV

5 - 7 April 2022
View Session ∨
  • Vendor Presentation and Reception: Thermosense XLIV
  • 1: Novel Techniques
  • 2: Additive Manufacturing
  • 3: Thermophysical Properties
  • 4: Hyperspectral and Multi-Imaging Applications
  • 5: IR NDT at the Mircoscale
  • Poster Session
  • 6: IR NDT of Composite and Multi-layered Structures
  • 7: AI in Thermal Imaging Applications
  • 8: IR NDT in Industry and Infrastructure I
  • 9: Biomedical Applications
  • 10: Thermal Modelling and Signal Processing
  • Best Student Paper Award Ceremony
  • 11: IR NDT in Industry and Infrastructures II
Information

POST-DEADLINE ABSTRACT SUBMISSIONS

  • Submissions are accepted through 07-February
  • Notification of acceptance by 21-February

Call for Papers Flyer (346KB)
Vendor Presentation and Reception: Thermosense XLIV
4 April 2022 • 12:00 PM - 4:50 PM EDT
Session Chairs: Andrés Esteban Rozlosnik, SI Termografía Infrarroja (Argentina), Sheng-Jen Hsieh, Texas A&M Univ. (United States)
Thermosense XLIV: Vendor Presentation and Reception

Share the Latest – What's new in hardware & software for thermography, thermal imaging, and non-contact temperature measurement?

The Vendors Session started eighteen 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 Defense + Commercial Sensing (DCS) technical audience prior to the opening of the DCS22 Expo. In a relaxed atmosphere, enjoy a casual meeting setting with ample time for questions and answers. This session enables the conference attendees and visitors to better prioritize their activities when visiting the Expo (highlights your company).

Session includes:

  • Exhibitors sharing state-of-the-art in future generation of infrared detectors, IR imagers radiometric and non-radiometric, IR image processing systems and IR systems integration. Drones and Robots
  • Explores other related infrared optics, semitransparent materials, coatings, filter, characterization and calibration sources, infrared fiber optics, coolers, multispectral and hyperspectral cameras
  • It also covers topics related hardware and software involved in infrared applications: NIR - SWIR - MWIR - LWIR
  • Infrared industry manufacturing & applications: artificial intelligence, big data, data analytics, datasets and advanced algorithms. Smarter IR sensor/systems technology connected to Internet of Things (IoT / IIoT)
  • Infrared Industry: training, standards and hardware accessories
For more information please check the following link:

Guidelines - General and specific topics

Audience background:

Innovative infrared systems & applications research, Applications engineers & professionals, Advanced optics engineers, Photonics and imaging researchers, Photonics Engineering, Infrared systems engineers, Calibration & Test engineers, Academics, Physicists, Exhibition-Only Visitors, and other Exhibitor Representatives (DCS-2022).

To Participate:

Open to all DCS22 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, thermometry Hardware, Optics, Accessories, and Software. Session format features 12-16 minutes oral presentations from hardware, software, artificial Intelligence involved, whose product lines impact thermal imaging applications and the infrared industry in general. No additional charge to participate. Reservations are open now, with limited time slots available.

If you are interested in participating, or have any questions, please contact moderators:
  • Andres E. Rozlosnik, SI Termografía Infrarroja (Argentina), aer@termografia.com
  • Sheng-Jen (Tony) Hsieh, Texas A&M Univ. (USA), hsieh@tamu.edu


2022 Vendors in Presentation Order:
(List of presentations in progress)


Reynard Corporation (Booth 1414 - VS1)
Title: Narrow Bandpass MWIR - LWIR Coatings
Presenter: Chris Karp, Position: Business Development Exec

SCD Group – SCD, SCDUSA, QI (Booth 1205 - VS2)
Title: New products and Technology Update at SCD Group
Presenter: Kobi Zaushnizer, Position: VP Business Development & Marketing

Telops (Booth 1229 - VS3)
Title: Telops New Infrared Cameras
Presenter: Marie-Eve Lang, Position: Marketing Coordinator

InfraTec infrared LLC (Booth 1322 - VS4)
Title: News from InfraTec
Presenter: Sven-A. Wode, Position: Manager Business Development International

INO (Booth 1511 - VS5)
Title: THz Optics Characterization From INO
Presenter: Pierre Talbot, Position: Business Development Manager

G&H Photonics (Booth 1419 - VS6)
Title: The Smarter Lens - A Continuous Push for More Functionality
Presenter: JJ Conboy, Position: Product Manager - Optical Systems

LYNRED USA (Booth 808 - VS7)
Title: Advancements in Infrared Imaging Technology
Presenter: Michel Zecri, Position: CEO - LYNRED USA

Teledyne FLIR (Booth 1101 – VS8)
Title: Long Distance signature measurements – How Teledyne FLIR solutions help solve the “zoom problem”
Presenter: Desmond Lamont, Position: Global Business Development Manager - Defense R&D / Test Ranges

EMF (Booth 1316 – VS9)
Title: Overcoming DLC Coating Challenges on Chalcogenides
Presenter: Ray Pini, Position: IR Business Development Manager

Thales Cryogenics B.V. (Booth 614 – VS10)
Title: Update on Thales Rotary and Linear cryocoolers
Presenters: Kevin Giesen / Virginie Condo, Positions: Sales Director USA & Sales Manager

SWIR Vision Systems (Booth 1433 – VS11)
Title: Multi-megapixel SWIR and eSWIR Cameras with Colloidal Quantum Dot Sensors for Industrial and Security Applications
Presenter: Ethan Klem, Position: Chief Technology Officer

Ophir Optronics Solutions LTD an MKS Company (Booth 1309 – VS12)
Title: IR thermal imaging zoom lenses solutions for counter-drone applications
Presenter: Dr. Kobi Lasri, Position: General Manager - Ophir Optronics Solutions

RICOR USA Inc. (Booth 1301 – VS13)
Title: Ricor's Advanced Cryocoolers for HOT IR detectors
Presenter: Vicky Segal, Position: RICOR VP Marketing & Sales, RICOR USA CEO

Only this session (Vendors Session) does not require to submit an abstract and does not require a manuscript.

Session 1: Novel Techniques
5 April 2022 • 9:30 AM - 10:40 AM EDT
Session Chairs: Arantza Mendioroz, Univ. del País Vasco (Spain), Jaap de Vries, FM Global (United States)
12109-4
Author(s): Peter Burgholzer, Research Ctr. for Non Destructive Testing GmbH (Austria); Gregor Thummerer, Guenther Mayr, FH Oberösterreich (Austria); Markus Haltmeier, Univ. Innsbruck (Austria)
5 April 2022 • 9:30 AM - 10:00 AM EDT
Show Abstract + Hide Abstract
In the presented work the principle of super-resolution imaging using structured illumination is applied to thermography. Scattered light which can penetrate under the surface of a sample heats subsurface light absorbing structures. The diffused heat is measured on the sample surface e.g. with an infrared camera, which allows to image the subsurface structures. The deeper these structures are below the surface, the more blurred their images become. Blind structured illumination inside the sample is used to calculate a super-resolution image which less blurring. The structured illumination inside the sample can be generated by interference of scattered light producing laser speckles.
12109-5
Author(s): Julien Lecompagnon, Philipp D. Hirsch, Bundesanstalt für Materialforschung und -prüfung (Germany); Christian Rupprecht, Technische Univ. Berlin (Germany); Mathias Ziegler, Bundesanstalt für Materialforschung und -prüfung (Germany)
5 April 2022 • 10:00 AM - 10:20 AM EDT
Show Abstract + Hide Abstract
Due to the diffusive nature of heat propagation in solids, the detection and resolution of internal defects with active thermography based non-destructive testing is commonly limited to a defect-depth-to-defect-size ratio greater than or equal to one. In the more recent past, we have already demonstrated that this limitation can be overcome by using a spatially modulated illumination source and photothermal super resolution-based reconstruction. In this work we share our progress on improving the defect/inhomogeneity characterization using fully 2D spatially structured illumination patterns instead of scanning with a single laser spot. The experimental approach is based on the repeated blind pseudo-random illumination using modern projector technology and a high-power laser.
12109-6
Author(s): Anwesh Bhattacharya, Ecole Supérieure de Physique et de Chimie Industrielles de la Ville de Paris (France), Institut Langevin Ondes et Images, Univ. PSL, CNRS (France); Pascal Berto, Univ. Paris Descartes (France), Institut de la Vision, Sorbonne Univ. (France); Valentina Krachmalnicoff, Ignacio Izeddin, Ecole Supérieure de Physique et de Chimie Industrielles de la Ville de Paris (France), Institut Langevin Ondes et Images, Univ. PSL, CNRS (France); Gilles Tessier, Institut de la Vision, Sorbonne Univ., INSERM (France); Yannick De Wilde, Ecole Supérieure de Physique et de Chimie Industrielles de la Ville de Paris (France), Institut Langevin Ondes et Images, Univ. PSL, CNRS (France)
5 April 2022 • 10:20 AM - 10:40 AM EDT
Show Abstract + Hide Abstract
Long wave infrared (LWIR) radiation (7-14 µm) allows illumination-less imaging, and spectroscopic chemical identification. Infrared imaging is ubiquitous in defense thermography, airborne & atmospheric sensing, fault detection, and medical testing. Visible speckle imaging can successfully image through complex scattering media. We describe a novel broadband LWIR speckle imaging-based wavefront sensor, utilizing a thin diffuser with an uncooled microbolometric camera. Due to the thin diffuser, local phase gradients produce speckle deformations which are estimated by a rapid image registration algorithm to generate a phase gradient map, whose 2-D integration yields the reconstructed wavefront. We demonstrate LWIR wavefront reconstruction using our setup in infrared optical samples, with future applications for LWIR imaging through visually non-transparent materials.
Session 2: Additive Manufacturing
5 April 2022 • 11:10 AM - 12:40 PM EDT
Session Chairs: Joseph N. Zalameda, NASA Langley Research Ctr. (United States), Gary E. Strahan, Infrared Cameras, Inc. (United States)
12109-1
Author(s): Vincent C. Paquit, Oak Ridge National Lab. (United States)
5 April 2022 • 11:10 AM - 12:00 PM EDT
Show Abstract + Hide Abstract
Modern advanced manufacturing technologies have the potential to revolutionize the way we fabricate components in the future. However, to be widely adopted by industry, adjustments to current industry methodologies and standards for part certification and qualification are needed to capture the increased complexity surrounding those manufacturing processes. Toward this goal, there is a growing research focus on developing new methodologies for certification and qualification that synthesize modeling and simulation, in-situ monitoring, and ex-situ characterization. In this context, thermal imaging has an important role to play as it can provide direct measurements of the manufactured components or of the machine itself. In this presentation, we will illustrate how thermal imaging is used to advance the field of advanced manufacturing by providing a series of examples on additive and hybrid manufacturing systems from the ORNL Manufacturing Demonstration Facility.
12109-2
Author(s): Joseph N. Zalameda, Samuel J. Hocker, Wesley A. Tayon, Joshua M. Fody, Brodan M. Richter, NASA Langley Research Ctr. (United States)
5 April 2022 • 12:00 PM - 12:20 PM EDT
Show Abstract + Hide Abstract
Additive manufacturing (AM) is a rapidly growing technology. An area of major importance is the integrity and repeatability of AM parts. The ultimate goal is to certify AM built parts to allow for use in critical aerospace applications. In-situ nondestructive evaluation sensors can be used for build assessment and can potentially play a key role in certifying AM parts. For example, melt pool features are understood to have a strong correlation to microstructural defects and the use of a near infrared (NIR) camera can be used to record the melt pool, cooling areas, and temperature gradients during the build. This work explores the use of a low cost NIR camera to obtain single line track imagery of the Ti-6Al-4V melt pools for various processing parameters. The NIR camera is radiometrically calibrated and configured in-line with the laser source to obtain high resolution imagery of the melt pool shape and dynamics. The challenge to measure melt pool shapes is to identify the transi
12109-3
Author(s): Nathan Crane, Nicholas Wallace, Matthew R. Jones, Brigham Young Univ. (United States)
5 April 2022 • 12:20 PM - 12:40 PM EDT
Show Abstract + Hide Abstract
Defects smaller than 100 microns are common in many 3D printed parts, due to the dynamic layer by layer process that forms the geometry. Even small defects of this magnitude can cause inconsistencies in the properties of the final part. There is a need to develop technologies that can identify and monitor such defects during production to provide quality assurance. Our research explores the possibility of detecting small defects within parts made via additive manufacturing (AM) with existing pulse thermography (PT) techniques. The heat transfer is modeled numerically and spectral in-depth absorption is included to accurately model shallow defects which transmit a portion of the irradiation. The data suggests that pulse thermography is sufficiently sensitive to detect defects smaller than 100 microns in low thermal diffusivity AM materials such as metal powder and solid polymers with suitable thermal resolution and frame rates.
Session 3: Thermophysical Properties
5 April 2022 • 2:00 PM - 3:00 PM EDT
Session Chairs: Beate Oswald-Tranta, Montan Univ. Leoben (Austria), Giovanni Ferrarini, Istituto per le Tecnologie della Costruzione (Italy)
12109-36
Author(s): Arantza Mendioroz, Mateu Colom, Agustín Salazar, Univ. del País Vasco (Spain)
5 April 2022 • 2:00 PM - 2:20 PM EDT
Show Abstract + Hide Abstract
We propose a methodology to determine the thermal diffusivity of both isotropic and anisotropic samples when they move at constant speed, using laser spot thermography with continuous illumination. In the case of anisotropic samples, the method is able to provide the orientation of the principal directions with respect to the direction of motion. It consists in fitting the radial temperature profiles to an analytical expression. We present experimental results taken on reference materials, which prove that the values of the principal diffusivities and the orientation of the principal directions can be determined with high accuracy.
12109-8
Author(s): Giuseppe Dell'Avvocato, Davide Palumbo, Maria Emanuela Palmieri, Umberto Galietti, Politecnico di Bari (Italy)
5 April 2022 • 2:20 PM - 2:40 PM EDT
Show Abstract + Hide Abstract
The applicability of active thermography as a non-destructive method to distinguish heat treated from not-treated boron steel, has been investigated. While the usual hardness semi-destructive tests influence the inspected surface, laser thermography is capable to verify the effectiveness of heat treatment in boron steel in a non-destructive way without any surface modification. The procedure has been verified on two plates of boron steels with different structures (100% ferritic- 14 pearlitic and 100% martensitic).
12109-9
Author(s): Priyanka Jena, Rajesh Gupta, Indian Institute of Technology Bombay (India)
5 April 2022 • 2:40 PM - 3:00 PM EDT
Show Abstract + Hide Abstract
In this paper, a method of material category identification using the step heating thermography technique is proposed. The proposed method is simple, fast, implementable for in situ measurement and also reliable. The pertinency of the method has been demonstrated on different types of materials.
Session 4: Hyperspectral and Multi-Imaging Applications
5 April 2022 • 3:30 PM - 4:50 PM EDT
Session Chairs: Sami Siikanen, VTT Technical Research Ctr. of Finland Ltd. (Finland), Sheng-Jen Hsieh, Texas A&M Univ. (United States)
12109-10
Author(s): Sami Siikanen, Marko Savolainen, VTT Technical Research Ctr. of Finland Ltd. (Finland); Arto Karinen, Radai Oy (Finland); Julia Puputti, Univ. of Oulu (Finland), Pyhäsalmi Mine Oy (Finland); Timo Kauppinen, Mutsal (Finland), Arctic Construction Cluster Finland (Finland); Sanna Uusitalo, Marko Paavola, VTT Technical Research Ctr. of Finland Ltd. (Finland)
5 April 2022 • 3:30 PM - 3:50 PM EDT
Show Abstract + Hide Abstract
Monitoring and verification of structural changes in mining areas is necessary for mining operators - especially in terms of what events are taking place in the mining area and tailing ponds. Emptying or enriching a pond requires up-to-date information on the shape of the pond and amount of contained material. Increasing accurate measurements interests mining operators. Novel monitoring technologies include possibility of imaging spectroscopic optical measurements - such as hyperspectral imaging - with drone-based scanning feature. At Pyhäsalmi Mine in Finland, we established field trials with drone-based near-infrared multispectral imaging of mine tailing ponds and their dam structures. These field trials were part of the European Union’s Horizon 2020 project called ‘Goldeneye’, which aims to develop a data-acquisition and processing platform combining remote sensing and positioning technologies to produce actionable intelligence for mine operators.
12109-11
Author(s): Jukka Sassi, Sami Siikanen, VTT Technical Research Ctr. of Finland Ltd. (Finland); Thomasine Kamerling, Huhtamäki Oyj (Finland); Anssi Mikola, Riverrecycle Oy (Finland); Saurabh Gupta, Earth5R (India)
5 April 2022 • 3:50 PM - 4:10 PM EDT
Show Abstract + Hide Abstract
Multi-sensor imaging option consisting of infrared (TIR), near infrared hyper-spectral (NIR HS) and red-green-blue (RGB) sensors was demonstrated to confirm the ability of the sensors to detect the floating debris and differentiate plastic from organic material in a realistic river environment. A drone and a fixed installation were utilised. The target objects were typical plastic products used in the households and the organic material consisted of pieces of wood and branches. The results suggest that multi-imaging with NIR HS, TIR and RGB sensors is a promising method for separating floating plastic waste from organic material. Further efforts will be targeted in possibility to distinguish different plastic types from each other and how this process could by applied by utilising machine learning methods.
12109-12
Author(s): Thomas Lafargue-Tallet, Christophe Pradere, I2M - Institut de Mécanique et d'Ingénierie (France); Emmanuelle Abisset-Chavanne, Ecole Nationale Supérieure d'Arts et Métiers (France); Raymond Peiffer, Maximilian Taillandier, MBDA France (France); Matthieu Pommiès, Emmanuel Chalumeau, ALPhANOV (France)
5 April 2022 • 4:10 PM - 4:30 PM EDT
Show Abstract + Hide Abstract
The development of high power laser (> 10 kW) for the solid materials vulnerability study requires the development of imaging methods for the measurement of: (i) optical surface properties, (ii) thermal properties of materials and (iii) laser-matter interaction. Such phenomena mostly lead to high thermal gradients which require a good knowledge of the system temperature. To do so, this work describes the development of a non-contact infrared imaging technique based on the pyroreflectometry. It will be shown that the surface oxidation problems affect the emissivity and that the developed method allows to take it into account when measuring the temperature.
12109-13
Author(s): Fabian Göttfert, Gunnar Dammass, Matthias Krauß, InfraTec GmbH (Germany)
5 April 2022 • 4:30 PM - 4:50 PM EDT
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We combine image correlation and thermography to measure the two-dimensional strain field along with the temperature distribution of a specimen in a tensile testing machine. Both methods have been combined before, yet they usually rely on different imaging devices, requiring the strain and temperature data to be aligned and parallax-corrected in post-processing. In our novel approach, we perform the image correlation directly on the thermography data – thus reducing the complexity of the measurement setup significantly. We demonstrate the method by quantifying the stress-strain-temperature relation of localized deformation bands in aluminum.
Session 5: IR NDT at the Mircoscale
5 April 2022 • 4:50 PM - 5:30 PM EDT
Session Chairs: Junko Morikawa, Tokyo Institute of Technology (Japan), Arantza Mendioroz, Univ. del País Vasco (Spain)
12109-14
Author(s): Takuya Ishizaki, Institute of Space and Astronautical Science, Japan Aerospace Exploration Agency (Japan); Hosei Nagano, Nagoya Univ. (Japan)
5 April 2022 • 4:50 PM - 5:10 PM EDT
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This paper proposes a new thermal contact resistance distribution measurement method using a lock-in thermography. To evaluate two-dimensional local thermal contact resistance distribution, a uniform intensity laser heating system was developed, which has top-hat intensity distribution with a diameter of 30 mm. By combining this heat source and the lock-in thermography, a new measurement instrument was developed, which can evaluate local temperature behavior in the frequency domain affected by the contact interface in high spatial resolution of about 70 micrometers. Additionally, a new thermal contact resistance measurement principle was constructed based on one-dimensional heat transfer equation in consideration of the reflected and transmitted temperature wave at the boundary and contact interface. The thermal contact resistance was acquired as a solution of the inverse problem of the temperature response by fitting analyses. The validation of this method was evaluated with a sample made of bonded two isotropic graphite plates. The sample has intentional defect area which has slightly higher thermal resistance. As the results, the validity of the measurement method was confirmed in comparison with the other validated method. Also, the defect area was quantitatively detected clearly as high thermal resistance region. Furthermore, the measurement method was applied for two different contact interface roughness sample consisting of aluminum alloys and thermal grease as a practical example. Consequently, it was revealed and visualized that the contact interface with rough surface has high thermal resistance spot.
12109-15
Author(s): Ryohei Fujita, Hosei Nagano, Nagoya Univ. (Japan)
5 April 2022 • 5:10 PM - 5:30 PM EDT
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In this paper, a microscale fatigue damage evaluation method was proposed for carbon fiber reinforced plastics (CFRP) based on the measurement of effective thermal diffusivity using the lock-in thermography. In this method, fatigue damage generated at nano / micro scale is regarded as local thermal resistance. Then, the damage is quantified by inverse analysis from the amount of decrease in the effective thermal diffusivity of the entire material. In order to verify the validity of this method, fatigue tests were conducted to multiple specimens with different load cycles at the load before causing visible damage. The tendency of the effective thermal diffusivity depending on the number of load cycles was measured by the proposed method. The result of the effective thermal diffusivity showed a decreasing trend depending on the number of load cycles. It was shown that this method can detect the effect of the microscale fatigue damage at a low load, high cycles.
Poster Session
5 April 2022 • 6:00 PM - 8:00 PM EDT
12109-42
Author(s): Alkiviadis Tromaras, Vassilios Kappatos, Hellenic Institute of Transport (HIT), Ctr. for Research and Technology Hellas (CERTH) (Greece); Nicolas P. Avdelidis, Cranfield Univ. (United Kingdom)
5 April 2022 • 6:00 PM - 8:00 PM EDT
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Recent trends in rail manufacturing show the application of composite materials for new rail carbodies. The paper investigates the theoretical application of infrared thermography for identifying defects in carbon fibre composite materials of monolithic or hybrid nature such as Carbon Fibre-PET sandwich materials. The study was performed using a finite difference thermal modeling software (i.e. ThermoCalc 3D), with the intention of identifying a series of subsurface defects in thick composite materials of various sizes and at different depths, leading to the use of thermography as a suitable technique in the inspection of rail composite materials.
Session 6: IR NDT of Composite and Multi-layered Structures
6 April 2022 • 8:20 AM - 10:10 AM EDT
Session Chairs: Xavier P. V. Maldague, Univ. Laval (Canada), Joseph N. Zalameda, NASA Langley Research Ctr. (United States)
12109-16
Author(s): Vassilios Kappatos, Alkiviadis Tromaras, Evangelos D. Spyrou, Theocharis Tsenis, Hellenic Institute of Transport (HIT), Ctr. for Research and Technology Hellas (CERTH) (Greece)
6 April 2022 • 8:20 AM - 8:50 AM EDT
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Trends in rail carbody manufacturing show an increased interest in the use of lightweight composite for structural applications as a mechanism of reducing energy consumption and CO2 emissions of the rail transport sector. Composite materials are seen as a substitute material due to their lightweight, with higher strength/stiffness to-weight-ratio, properties compared to metals. Structural Health Monitoring (SHM) and Non-Destructive Testing (NDT) are essential for the detection of defects and damage on such composites. The paper presents the results of the two European Shift2Rail research projects CARBODIN and GEARBODIES in terms of SHM and NDT of composite rail carbody shell.
12109-17
Author(s): Shakeb Deane, Cranfield Univ. (United Kingdom); Nicolas P. Avdelidis, Cranfield Univ. (United Kingdom), Univ. Laval (Canada); Vasilis Tzitzilonis, Cranfield Univ. (United Kingdom); Clemente Ibarra-Castanedo, Univ. Laval (Canada); Antonios Tsourdos, Cranfield Univ. (United Kingdom); Xavier P. V. Maldague, Univ. Laval (Canada)
6 April 2022 • 8:50 AM - 9:10 AM EDT
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This work reviews the maintenance procedures to allow the implementation of a UAV into the aerospace industry for the maintenance of aircraft, both for aluminium and composite structures. It will discuss a developed defect reporting tool subsequent of a UAV inspection, using a combination of 2D and 3D aircrafts maps. In this research, multiple flights to inspect commercial aircraft have been performed. To inspect a commercial aircraft a method statement, risk assessment, pre-site survey and multiple permissions need to be in place before operations commence. During UAV operation, the inspection procedure ensures a complete safe aircraft inspection. The UAV can successfully locate defects on a Boeing aircraft using NDT imaging techniques. The versatility of the UAV proves its effectiveness of being implemented into various industries to inspect high value assets. The use of Artificial Intelligence is also discussed as it could further reduce the time and cost of aircraft inspections.
12109-18
Author(s): Muflih Alhammad, Cranfield Univ. (United Kingdom); Nicolas P. Avdelidis, Cranfield Univ. (United Kingdom), Univ. Laval (Canada); Clemente Ibarra-Castanedo, Univ. Laval (Canada); Argyrios Zolotas, Cranfield Univ. (United Kingdom); Xavier P. V. Maldague, Univ. Laval (Canada)
6 April 2022 • 9:10 AM - 9:30 AM EDT
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There has been an increased recognition that more attention needs to be paid to the detection of damage on composite materials and structures when subjected to loads and environmental conditions. For instance, inspection for advanced design of aircraft composite materials is important to assure the integrity of aircraft structures and to decrease the life-cycle cost. For defect inspection on composite materials, several Non-Destructive Testing (NDT) and monitoring techniques such as Infrared Thermography (IRT), Ultrasound (US), Acoustic Emission (AE) etc., to name a few, have been tested and adopted. The experimental work presented in this paper underlies the feasibility of the use of various active thermographic setups - techniques to provide an adequate probability of defect detection on composite materials. Finally, image processing tools and Machine Learning (ML) algorithms were attempted in the resulting thermal images in order to classify the specimens.
12109-19
Author(s): Michael Stamm, Rainer Krankenhagen, Bundesanstalt für Materialforschung und -prüfung (Germany)
6 April 2022 • 9:30 AM - 9:50 AM EDT
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Up to now, the inspection of wind turbines with industrial climbers has been considered "state of the art". However, ever-larger wind turbines and advancing digitalization make modern and automated inspection methods indispensable. Passive thermography can serve as such a digital and automatable method and is well known for its applications in the inspection of buildings or electrical circuits. However, its application relies on thermal gradients in the inspected object such that a temperature contrast exists between damaged and sound areas. This also holds for unheated structures like rotor blades of wind turbines which show no intrinsic temperature gradient and can hardly be heated. Under certain weather conditions with sufficient solar loading and diurnal temperature variations, passive thermography is suitable for the in-service inspection of rotor blades. However, for a reliable use of passive thermography on "thermal passive" components, the incorporation of these environmental conditions in the planning and evaluation of thermal inspections is crucial. Additionally, the complex inner structure of wind turbine blades in comparison to other objects and buildings require a specific method referencing the individual rotor blades to each other. This allows the distinction between the thermal response of design-specific structural features and damages or irregularities between the three blades. We show thermal signatures of damage in rotor blades and contrast them with structural features by referencing the three blades. In addition, the strong influence of different weather conditions on the inspection results is shown. Direct comparison of measured results with inspection reports from industrial climbers serves as a benchmark.
12109-21
Author(s): Marcos Souza, Univ. Laval (Canada); Fernando López, TORNGATS (Canada); Xavier Maldague, Univ. Laval (Canada)
6 April 2022 • 9:50 AM - 10:10 AM EDT
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Trapped humidity is a deleterious condition in several industrial sectors. Beyond reducing performance in process industry, it can create or accelerate structural damage mechanisms like corrosion, where thermally insulated equipment are the main concerning structures. Underneath the insulation, the corrosion evolves invisible at uncontrolled rates until leakage or more catastrophic failure occurs. The aim of this work is then to establish a passive thermographic technique to be deployed in such environments that can reliably detect trapped humidity. The Multivariate Thermography, based on the Partial Least-Squares regression, can efficiently separate indications from different physical phenomena and drastically reduce the effect of surface finish on the detectability. Preliminary results are encouraging to potentially extend the applicability of thermography to considerably low levels of surface emissivity and reduce the incidence of false positives in thermographic inspection.
Session 7: AI in Thermal Imaging Applications
6 April 2022 • 10:40 AM - 12:00 PM EDT
Session Chairs: Nicolas P. Avdelidis, Cranfield Univ. (United Kingdom), Jaap de Vries, FM Global (United States)
12109-22
Author(s): Sri Naga Pavan Addepalli, Yifan Zhao, Rosario Davide D'Amico, John A. Erkoyuncu, Cranfield Univ. (United Kingdom)
6 April 2022 • 10:40 AM - 11:00 AM EDT
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This paper proposes an automated pulsed thermography inspection (APTI) twin where the entire process from the inspection data capture through to damage feature extraction and visualisation is fully automated. Once the ‘in-situ’ inspection data is captured automatically to pre-set parameters remotely, the thermographic signal reconstruction (TSR) algorithm together with ML techniques is applied to extract the sub-surface damage features. The reconstructed data is then translated into 3D models (wireframe & thermal) and is transferred to a remote database. For the creation of the twin, an ontology-based approach is adopted for effective database creation, handling and management.
12109-23
Author(s): Jean-Claude Thelen, Met Office (United Kingdom)
6 April 2022 • 11:00 AM - 11:20 AM EDT
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The Met Office’s Neon Tactical Decision Aid (TDA) makes use of the Havemann-Taylor Fast Radiative Transfer Code (HT-FRTC) to predict the brightness temperature contrast between targets and their backgrounds. Although the HT-FRTC code is fast it is not fast enough to fulfil the speed requirements of an operational system such as Neon. Therefore, it has been decided to replace the HT-FRTC code with an emulator based on machine learning techniques. In this paper we will present some initial results for emulators based on both a neural network and a Gaussian process approach.
12109-24
Author(s): Iván Garrido, CINTECX, Univ. de Vigo (Spain); Qiang Fang, Univ. Laval (Canada); Susana Lagüela, Grupo de investigación TIDOP, Escuela Politécnica Superior de Ávila, Univ. de Salamanca (Spain); Xavier Maldague, Univ. Laval (Canada)
6 April 2022 • 11:20 AM - 11:40 AM EDT
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Infrared Thermography (IRT) is among the most suitable Non-Destructive Techniques (NDTs) for identifying and classifying surface and subsurface defects in building, cultural heritage, and civil engineering. With the recent emergence of Deep Learning (DL) models, automatic IRT data interpretation is sought, although the achievement of a large input dataset size is still a utopia so far in IRT. Therefore, this paper proposes to generate synthetic thermographic images from Generative Adversarial Networks (GANs), in this case in order to improve the identification and classification of thermal bridges and water-related problems in different infrastructures by using another DL model, Mask R-CNN.
12109-25
Author(s): Marc-André Blais, Moulay A. Akhloufi, Univ. de Moncton (Canada)
6 April 2022 • 11:40 AM - 12:00 PM EDT
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Visible and thermal infrared are two imaging modalities which are used in a variety of applications. In deep learning we need large datasets to be able to train and optimize the algorithms. In thermal infrared, there is a lack of large datasets. This work proposes a deep learning approach to transform visible light images into thermal infrared images using video sequences with moving objects. We propose to use and optimize a CycleGan algorithm to transform frames from one spectrum to another by training two generators and two discriminators. The results are promising with impressive qualitative and promising quantitative results.
Session 8: IR NDT in Industry and Infrastructure I
6 April 2022 • 1:30 PM - 2:30 PM EDT
Session Chairs: Giovanni Ferrarini, Istituto per le Tecnologie della Costruzione (Italy), Sami Siikanen, VTT Technical Research Ctr. of Finland Ltd. (Finland)
12109-26
Author(s): Giuseppe Dell'Avvocato, Politecnico di Bari (Italy); Dirk Gohlke, Bundesanstalt für Materialforschung und -prüfung (Germany); Davide Palumbo, Politecnico di Bari (Italy); Rainer Krankenhagen, Bundesanstalt für Materialforschung und -prüfung (Germany); Umberto Galietti, Politecnico di Bari (Italy)
6 April 2022 • 1:30 PM - 1:50 PM EDT
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A semi-automatic thermographic procedure for the evaluation of resistance projection welded joints has been developed. While, currently, to assess the quality of RPW joints destructive tests are used and the more common non-destructive technique used is the ultrasonic ones; the possibility for a quantitative evaluation of the welded area by thermographic technique, has been proved. Procedure on steel RPW joints has been applied on the as it is surface. Measurements obtained by thermography and ultrasound to verify the procedure developed, have been compared.
12109-27
Author(s): Christoph Tuschl, Beate Oswald-Tranta, Montan Univ. Leoben (Austria); Sven Eck, Materials Ctr. Leoben Forschung GmbH (Austria)
6 April 2022 • 1:50 PM - 2:10 PM EDT
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Rolling contact fatigue (RCF) is a common damage type in railway tracks which often results in surface defects in the contact areas of rail and wheel. These defects can be detected and localized with inductive thermography. In this work various methods to inspect railway rails with inductive thermography are presented. To evaluate longer sections of a rail, methods for scanning either in a stop-and-go motion or in a continuous motion are used. Due to the curved head of the rail an image rectification algorithm is used on the infrared images to compute the scanning methods properly. Image registration is used for referencing images of evaluated sections of the rail to each other, allowing to merge all sections to one panoramic image of the results. The mentioned methods are shown on two pieces of railway rails with two different types of RCF. Head Checks are surface cracks which occur on the gauge corner and Squats are surface defects on the running surface region of railway rails.
12109-28
Author(s): Sandra Pozzer, Univ. Laval (Canada); Fernando López, TORNGATS (Canada); Francisco Dalla Rosa, Zacarias Martin Chamberlain Pravia, Univ. de Passo Fundo (Brazil); Xavier Maldague, Univ. Laval (Canada)
6 April 2022 • 2:10 PM - 2:30 PM EDT
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In this study, advanced signal processing techniques, named Principal Component Thermography (PCT), Pulsed Phase Thermography (PPT), and Partial Least Square Thermography (PLST), were applied to thermograms sequences from a concrete element. One concrete column was constructed with simulated subsurface defects positioned in faces subjected to varying solar exposure. This column was inspected hourly during summer and winter periods. The hypothesis was that the signal processing techniques could improve the detection of defects by improving defect contrast and reducing thermographic and optical noise. In addition, the use of different image sequence intervals on the performance of the techniques was investigated.
Session 9: Biomedical Applications
6 April 2022 • 3:30 PM - 4:10 PM EDT
Session Chairs: Gary E. Strahan, Infrared Cameras, Inc. (United States), Nicolas P. Avdelidis, Cranfield Univ. (United Kingdom)
12109-29
Author(s): Meir Gershenson, Consultant (Mexico); Jonathan Gershenson, VA Greater Los Angeles Healthcare System (United States)
6 April 2022 • 3:30 PM - 3:50 PM EDT
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Of the most compelling unsolved issues in the paradigm to create success in the field of breast cancer infrared imaging is localization of direct internal heat of the ‘hot’ cancer. When using thermal imaging to detect breast cancer, the dominant heat signature is that of indirect heat transported by the veins away from the tumor location. Employing component analysis techniques to dynamic infrared data we identify three components; corresponding to cancer generated heat, veins affected by vasomodulation and heat absorption due to high tumor perfusion. All components appear clear and distinct.
12109-30
Author(s): Ashraf Saleem, Michigan Technological Univ. (United States); Ahmed Al Maashri, Sultan Qaboos Univ. (Oman)
6 April 2022 • 3:50 PM - 4:10 PM EDT
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Precise drone-based temperature measurement is crucial in many real-world applications. One example is human skin temperature measurement to detect COVID’19 cases in crowds using drones. However, most of the thermal cameras used in drones have low thermal measurement accuracy, typically ± 5 oC. In this work, a self-calibration algorithm is developed to improve the temperature measurement accuracy of human skin measurement using drone-based low accuracy thermal camera. The results of experiments show that the system can measure the skin temperature of a group of individuals simultaneously with an error of less than 1 ºC using a drone-based thermal camera that has an accuracy of ±5 oC.
Session 10: Thermal Modelling and Signal Processing
7 April 2022 • 8:30 AM - 10:10 AM EDT
Session Chairs: Beate Oswald-Tranta, Montan Univ. Leoben (Austria), Junko Morikawa, Tokyo Institute of Technology (Japan)
12109-33
Author(s): Francisco Javier González Contreras, Univ. Autónoma de San Luis Potosí (Mexico); Robert Peale, Univ. of Central Florida (United States)
7 April 2022 • 8:30 AM - 8:50 AM EDT
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Terahertz imaging systems require small, low cost and low power systems operating at room-temperature. Terahertz Seebeck nanoantennas are room temperature electromagnetic detectors. In this work a gold bowtie nanoantenna is designed and optimized to detect electromagnetic radiation at 2 THz. The resulting device is a gold bowtie antenna with asymmetric connection lines to optimize the Seebeck voltage. Fabrication of the resulting optimized device was performed using photolithography and liftoff. The materials were deposited by sputtering. Experimental results of the effective Seebeck coefficient of the device as well as response measurements are presented in this work and compared to Multiphysics simulations.
12109-34
Author(s): Jean-Claude Thelen, Met Office (United Kingdom)
7 April 2022 • 8:50 AM - 9:10 AM EDT
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Complex mathematical models are computationally expensive to run and therefore very little tends to be known about their overall error behavior. The aim of paper is to investigate the error behavior of such a model, namely the Neon Tactical Decision Aid (TDA), which is used operationally at the UK Met Office, to predict the temperature contrast between a target and its background. Here, we will explore the sensitivity of the Neon model to uncertainties in its input parameters. It was found that the model is most sensitive to uncertainties in the optical properties of the target and the background surfaces.
12109-35
Author(s): Beate Oswald-Tranta, Montan Univ. Leoben (Austria); Pablo López de Uralde, Lortek S.Coop. (Spain); Alexander Hackl, Montan Univ. Leoben (Austria); Eider Gorostegui-Colinas, Beñat Urtasun Marco, Rafael Hidalgo-Gato, Lortek S.Coop. (Spain)
7 April 2022 • 9:10 AM - 9:30 AM EDT
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Inductive thermography is a well-established NDT method to detect surface cracks in metals. In the current project it is investigated how short cracks with a length of about 0.3 up to 2 mm can be detected in nickel-based austenitic superalloys. The recorded infrared sequence is evaluated to a phase image using FFT. Finite element simulations are carried out to investigate the effect of different parameters, as e.g. crack length, crack depth, inclination angle, and parameters of the inspection as e.g. excitation. Two sets of samples have been tested: (i) samples with defined defect geometry, manufactured using EDM technique and (ii) samples with real cracks, obtained after a Varestraint test, using TIG and laser welding, and a subsequent straightening. The experimental and simulation results have been compared giving a very good agreement. The final goal of the investigation is to define the Probability-of-Detection (POD) of these short cracks applying inductive thermography.
12109-37
Author(s): Junko Morikawa, Masami Kadonaga, Kohei Suzuki, Shuji Kamegaki, Tokyo Institute of Technology (Japan); Meguya Ryu, National Institute of Advanced Industrial Science and Technology (Japan)
7 April 2022 • 9:30 AM - 9:50 AM EDT
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Relation between evaporation rate and temperature change due to latent heat is investigated with thermal imaging in micro scale and a numerical simulation. Evaporation involves many complicated phenomena, in addition to vapor diffusion in the air. The surface of droplet is cooled during evaporation due to the latent heat, and the cooling has great influence on the evaporation rate. Therefore, heat and mass transfer phenomena are strong-coupled problem. Numerical simulation model to reproduce evaporation phenomenon is desired to investigate the complicated phenomenon, and heat and mass transfer equations are solved with CFD tool: openFOAM. The influences of evaporative cooling on the evaporation rate is investigated with various droplet sizes and various contact radii.
12109-38
Author(s): Peter Spaeth, Joseph N. Zalameda, NASA (United States); Peter L. Takunju, NASA Langley Research Ctr. (United States)
7 April 2022 • 9:50 AM - 10:10 AM EDT
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Principal Component Thermography applies Singular Value Decomposition (SVD) to post-process data that are derived from active thermographic inspections. SVD provides useful compression of the data and allows for better understanding of substructure and indications of potential damage. In the standard approach SVD is applied to a certain reshaping of a three-dimensional data stack into a two-dimensional array. This work applies Higher Order Singular Value Decomposition (HOSVD) directly to the three-dimensional data to avoid the initial reshaping step. Tests against non-isotropic data that compare the HOSVD approach with traditional Principal Component Thermography are described. Finally, the method of Proper Generalized Decomposition is used to derive the HOSVD, and its performance against other algorithms is also discussed.
Best Student Paper Award Ceremony
7 April 2022 • 10:10 AM - 10:30 AM EDT
Announcement of the Best Paper Award
Session 11: IR NDT in Industry and Infrastructures II
7 April 2022 • 11:30 AM - 12:30 PM EDT
Session Chairs: Xavier P. V. Maldague, Univ. Laval (Canada), Sheng-Jen Hsieh, Texas A&M Univ. (United States)
12109-39
Author(s): Gianluca Cadelano, Alessandro Bortolin, Istituto di Scienze dell'Atmosfera e del Clima, Consiglio Nazionale delle Ricerche (Italy); Paolo Bison, Giovanni Ferrarini, Istituto per le Tecnologie della Costruzione (Italy)
7 April 2022 • 11:30 AM - 11:50 AM EDT
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The need for greater efficiency in the field of shallow closed-loop geothermal systems has led to the proposal for groutless coaxial geothermal heat exchangers made of steel. In terms of heat transfer performance, they are superior to traditional grouted U-shaped or double-U plastic ones, but they are still not well accepted by the market because there are doubts about their safety. In particular, it is feared that the heat transfer fluid flowing inside may cause environmental damage in the event of corrosion leaks. Another drawback of using metal pipes instead of plastic ones is the risk of failure of the joints. In fact, while the plastic ones are usually supplied in continuous coils, the metallic ones are made up of sections that are assembled on site. The joints that connect each section to the others can be welds or threads, the latter completed with O-rings to ensure sealing. In both cases, the operation is carried out on-site. Since an unsealed gasket is enough to ruin the entire length of the heat exchanger, they pose a serious safety and financial risk. This work aims to explore the detectability of these defects using active infrared thermography, in order to con-tribute to the proposal of possible on-site inspection procedures. The experimental work was carried out in the laboratory on a pipe sample that was made of threaded-jointed sections of steel. Defects of various entities have been artificially introduced to simulate internal corrosion, generally related to the presence of chemicals in the heat transfer fluid. Different failures in threaded joints were also simulated and detected after the processing of thermal data.
12109-40
Author(s): Meir Gershenson, Consultant (Mexico)
7 April 2022 • 11:50 AM - 12:10 PM EDT
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Pulse eddy current thermography (PECT) is used in detecting small flaws in metal surface. PECT is based on high frequency (HF) electromagnetic radiation generating eddy current and monitoring the heat produced using thermal imager. Lately we have seen lot of systems with good performance, but none is portable or commercially available. All are quite large only suitable for stationary use. We report a small system including innovative excitation coil, compact HF generator and uncooled thermal imager. Combined with equivalent wavefield based software enables to detect and determine the dimensions of the flaw with high sensitivity.
12109-41
Author(s): Beñat Urtasun Marco, Eider Gorostegui-Colinas, Rafael Hidalgo-Gato, Pablo Lopez de Uralde, Jon Mata-Etxaniz, IK4-Lortek (Spain)
7 April 2022 • 12:10 PM - 12:30 PM EDT
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Defect detection in induction thermography is usually conditioned by the relative orientation between the crack and the direction of the magnetic field produced by the inductor. Deviations from the orthogonal heat diffusion decreases the resulting response, constraining the detection angle range. A novel inductor design is presented, enabling the selective induction of a discrete set of static induction heating directions. This has allowed the development of a multi-directional, multi-pulse thermography, called pseudo-Lock-In thermography. Two variants of pulsing sequences have been tested, one employing mono-directional pulse heating, and a second one, switching multiple directions within the same pulse heating pulse. The resulting pixel-wise thermograms fuses multiple thermal diffusion orientations of the same physical point. The scheme has been demonstrated in different metals, first in artificial cracks and then validated in real cracks with different orientations.
Conference Chair
Arantza Mendioroz
Univ. of the Basque Country (Spain)
Conference Co-Chair
Cranfield Univ. (United Kingdom)
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 (United States)
Program Committee
FM Global (United States)
Program Committee
Istituto per le Tecnologie della Costruzione (Italy)
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
TORNGATS (Canada)
Program Committee
IRCAM GmbH (Germany)
Program Committee
Univ. Laval (Canada)
Program Committee
Junko Morikawa
Tokyo Institute of Technology (Japan)
Program Committee
Thermal Imaging Consultant (United States)
Program Committee
Montan Univ. Leoben (Austria)
Program Committee
Temperatures.com, Inc. (United States)
Program Committee
Vicon Enterprises Inc. (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 (Finland)
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)
Additional Information