Academic literature on the topic 'Dynamic thermography'

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Journal articles on the topic "Dynamic thermography"

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Nowakowski, Antoni. "Problems of Active Dynamic Thermography Measurement Standardization in Medicine." Pomiary Automatyka Robotyka 25, no. 3 (2021): 51–56. http://dx.doi.org/10.14313/par_241/51.

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Reliability of thermographic diagnostics in medicine is an important practical problem. In the field of static thermography, a great deal of effort has been made to define the conditions for thermographic measurements, which is now the golden standard for such research. In recent years, there are more and more reports on dynamic tests with external stimulation, such as Active Dynamic Thermography, Thermographic Signal Reconstruction or Thermal Tomography. The subject of this report is a discussion of the problems of standardization of dynamic tests, the choice of the method of thermal stimulat
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de Weerd, Louis, Sven Weum, and James B. Mercer. "Dynamic Infrared Thermography." Annals of Plastic Surgery 68, no. 6 (2012): 639–40. http://dx.doi.org/10.1097/sap.0b013e318244413a.

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de Weerd, Louis, James B. Mercer, and Sven Weum. "Dynamic Infrared Thermography." Clinics in Plastic Surgery 38, no. 2 (2011): 277–92. http://dx.doi.org/10.1016/j.cps.2011.03.013.

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Bargiel, Piotr, Norbert Czapla, Piotr Prowans, et al. "Thermography in the diagnosis of carpal tunnel syndrome." Open Medicine 16, no. 1 (2021): 175–82. http://dx.doi.org/10.1515/med-2021-0007.

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Abstract Introduction Carpal tunnel syndrome (CTS) is a condition caused by chronic compression of the median nerve. The diagnosis is made mainly on the basis of clinical image and confirmed with electrodiagnostic testing (electromyography and nerve conduction study); however, these methods do not always aid in reaching the diagnosis of CTS. Moreover, they are invasive examinations, unpleasant for the patient and have to be performed by a qualified physician. Aim An evaluation of the usefulness of dynamic thermography in the diagnosis of CTS. Material and methods Forty patients were included i
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Munguía-Siu, Andrés, Irene Vergara, and Juan Horacio Espinoza-Rodríguez. "The Use of Hybrid CNN-RNN Deep Learning Models to Discriminate Tumor Tissue in Dynamic Breast Thermography." Journal of Imaging 10, no. 12 (2024): 329. https://doi.org/10.3390/jimaging10120329.

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Breast cancer is one of the leading causes of death for women worldwide, and early detection can help reduce the death rate. Infrared thermography has gained popularity as a non-invasive and rapid method for detecting this pathology and can be further enhanced by applying neural networks to extract spatial and even temporal data derived from breast thermographic images if they are acquired sequentially. In this study, we evaluated hybrid convolutional-recurrent neural network (CNN-RNN) models based on five state-of-the-art pre-trained CNN architectures coupled with three RNNs to discern tumor
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González, Francisco Javier, Raymundo González, and Juan Carlos López. "Thermal contrast of active dynamic thermography versus static thermography." Biomedical Spectroscopy and Imaging 8, no. 1-2 (2019): 41–45. http://dx.doi.org/10.3233/bsi-190188.

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Muzika, Lukáš, Jiří Tesař, Michal Švantner, Jiří Skála, and Petra Honnerová. "Comparison of Methods for Emissivity Influence Suppression on Thermographic Data." Buildings 13, no. 1 (2022): 69. http://dx.doi.org/10.3390/buildings13010069.

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Emissivity is a crucial parameter for a quantitative thermography measurement. It influences measured temperature using an infrared camera. Typically, the emissivity is handled by infrared camera software but often for more complex tasks—e.g., setting and controlling the emissivity of individual pixels—a custom-made solution must be created. This can be especially beneficial for active thermography measurement and dynamic building inspection by infrared thermography as many surfaces of interest with different emissivity occur in thermographic data. In literature, one technique for suppressing
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Kaczmarek, Mariusz, Antoni Nowakowski, Marek Suchowirski, Janusz Siebert, and Wojciech Stojek. "Active dynamic thermography in cardiosurgery." Quantitative InfraRed Thermography Journal 4, no. 1 (2007): 107–23. http://dx.doi.org/10.3166/qirt.4.107-123.

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Biloshenko, V. "Equipment for Dynamic Electron Contact Thermography of Skin Melanoma." Science and innovation 10, no. 6 (2014): 50–59. http://dx.doi.org/10.15407/scine10.06.050.

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D’Alessandro, Giampaolo, Pantea Tavakolian, and Stefano Sfarra. "A Review of Techniques and Bio-Heat Transfer Models Supporting Infrared Thermal Imaging for Diagnosis of Malignancy." Applied Sciences 14, no. 4 (2024): 1603. http://dx.doi.org/10.3390/app14041603.

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The present review aims to analyze the application of infrared thermal imaging, aided by bio-heat models, as a tool for the diagnosis of skin and breast cancers. The state of the art of the related technical procedures, bio-heat transfer modeling, and thermogram post-processing methods is comprehensively reviewed. Once the thermal signatures of different malignant diseases are described, the updated thermographic techniques (steady-state and dynamic) used for cancer diagnosis are discussed in detail, along with the recommended best practices to ensure the most significant thermal contrast obse
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Dissertations / Theses on the topic "Dynamic thermography"

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Purslow, Christine. "Dynamic ocular thermography." Thesis, Aston University, 2005. http://publications.aston.ac.uk/14563/.

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The ability to measure ocular surface temperature (OST) with thermal imaging offers potential insight into ocular physiology that has been acknowledged in the literature. The TH7102MX thermo-camera (NEC San-ei, Japan) continuously records dynamic information about OST without sacrificing spatial resolution. Using purpose-designed image analysis software, it was possible to select and quantify the principal components of absolute temperature values and the magnitude plus rate of temperature change that followed blinking. The techniques was examined for repeatability, reproducibility and the eff
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Hoffmann, Nico. "Dynamic Thermal Imaging for Intraoperative Monitoring of Neuronal Activity and Cortical Perfusion." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2017. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-230847.

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Neurosurgery is a demanding medical discipline that requires a complex interplay of several neuroimaging techniques. This allows structural as well as functional information to be recovered and then visualized to the surgeon. In the case of tumor resections this approach allows more fine-grained differentiation of healthy and pathological tissue which positively influences the postoperative outcome as well as the patient's quality of life. In this work, we will discuss several approaches to establish thermal imaging as a novel neuroimaging technique to primarily visualize neural activity and
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Leijon, Sundqvist Katarina. "Evaluation of hand skin temperature -Infrared thermography in combination with cold stress tests." Doctoral thesis, Luleå tekniska universitet, Medicinsk vetenskap, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-63216.

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Abstract Since ancient times, warm or cold skin on the human body has been used as a parameter in evaluating health. Changes in body temperature are attributed to diseases or disorders. The assessment of body temperature is often performed to measure fever by detecting an elevated core temperature. With techniques such as infrared thermography, it is possible to perform a non-contact temperature measurement on a large surface area. The overall aim of this thesis was to contribute to a better understanding of the hand skin temperature variability in healthy persons and in persons experiencing w
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Prodjinonto, Vincent. "Contribution à l'économie d'énergie dans le bâtiment : mesure de capacité de stockage dynamique d'une paroi." Thesis, Bordeaux 1, 2011. http://www.theses.fr/2011BOR14449/document.

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L’économie d’énergie dans le bâtiment est devenue une question préoccupante d’envergure internationale. Le secteur du bâtiment en effet, est l’un des plus énergétivores avec par exemple plus de 43% du total d’énergie produite en France, mais aussi l’un des plus polluants avec environs, 23% des émissions de gaz à effet de serre. Avec l’accroissement des ménages, et la demande par conséquent d’énergie, les problèmes ci-dessus évoqués vont décupler et devenir rapidement ingérables les années à venir, si aucune mesure n’est prise. Ainsi, pour faire face à la situation, plusieurs stratégies sont mi
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Riedel, Gernot Jurgen. "Time Resolved Raman Thermography : Thermal Dynamics of GaN-based Electronic Devices." Thesis, University of Bristol, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.520665.

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Formenti, D. "EXERCISE-ASSOCIATED SKIN TEMPERATURE DYNAMICS BY INFRARED THERMOGRAPHY. METHODS AND APPLICATIONS." Doctoral thesis, Università degli Studi di Milano, 2015. http://hdl.handle.net/2434/257335.

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Heat dissipation during sport exercise is an important physiological mechanism that may influence athletic performance. Therefore, monitoring skin temperature during exercise provides important physiological information about thermoregulatory processes. Skin temperature measurements through infrared thermography have the advantages to be non-invasive and to record temperature data simultaneously from different points on a wide area of the body. The aim of the present investigation were: first, to compare three methods of thermal images analysis in skin temperature evaluation, and second to s
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Pu, Xiaoxue. "Thermomechanical study of the gigacycle fatigue behavior of pure iron and carbon-manganese steels : influence of chemical composition and microstructure on damage and crack initiation mechanism." Thesis, Paris 10, 2019. http://www.theses.fr/2019PA100051.

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Ce travail tente de mieux comprendre les dommages par fatigue dans les aciers à ferrite-perlite dans la fatigue à très grand nombre de cycles (VHCF). Les influences de deux paramètres, le pourcentage de phase perlite et le pourcentage d'atomes interstitiels libres dans une solution solide, sont étudiées pour comprendre les mécanismes de dissipation en fatigue à 20 kHz. Une thermographie infrarouge in situ est réalisée pour enregistrer les changements de température, tandis que des observations au microscope sont menées pour étudier le mécanisme de dissipation. Pour les matériaux de BCC, sous f
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Nogueira, de Codes Rodrigo. "Vieillissements statique et dynamique et instabilités associées : expérimentation, modélisation et simulations numériques." Phd thesis, École normale supérieure de Cachan - ENS Cachan, 2011. http://tel.archives-ouvertes.fr/tel-00846955.

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L'objectif de cette thèse est d'étudier expérimentalement les phénomènes de vieillissement dus à la diffusion des atomes en solution dans les alliages d'aluminium et les instabilités qui leur sont associées comme le phénomène Portevin-Le Châtelier ou les bandes de Lüders et de proposer une modélisation de ces phénomènes dans le cadre de la thermodynamique des processus irréversibles. Une étude expérimentale détaillée est alors entreprise sur les alliages d'aluminium AA5083-H116 et AA5182-O. Le comportement du premier présente l'effet PLC de façon prononcée et les deux types d'instabilités sont
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Jongchansitto, Pawarut. "Mechanical analysis of 2D composite granular materials : thermomechanical experiments and numerical simulations." Thesis, Clermont-Ferrand 2, 2015. http://www.theses.fr/2015CLF22592/document.

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L'objectif de la thèse est d'analyser le comportement mécanique de matériaux granulaires composites bidimensionels en terme de textures granulaires en utilisant deux approches : étude expérimentale par "thermoelastic stress analysis" et étude numérique par dynamique moléculaire. Les systèmes granulaires composites sont préparés à l'aide de cylindres en polyoxyméthylène (POM) et polyéthylène haute densité (PEHD), présentant un rapport de rigidité de 4 entre eux. Différents rapports de diamètres et de nombres de particules sont considérés. Les résultats expérimentaux et numériques sont en bon ac
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Cho, GeonHwan. "Hot gas ingress through turbine rim seals : heat transfer and fluid dynamics." Thesis, University of Bath, 2015. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.665385.

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This thesis experimentally investigates the phenomenon of ingress through gas turbine rim seals. The work focuses on developing experimental and numerical techniques for measuring the required sealing flow levels to purge the wheel-space against ingress and the effect of externally-induced ingress on the surface temperature as well as heat transfer to the rotor. Ingress is driven by a pressure difference between the mainstream annulus and wheel-space cavity resulting from the asymmetric external pressure profile in the annulus and/or the rotation of fluid in the rotor-stator wheel-space cavity
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Books on the topic "Dynamic thermography"

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Anbar, Michael. Quantitative dynamic telethermometry in medical diagnosis and management. CRC Press, 1994.

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Astarita, Tommaso, and Giovanni Maria Carlomagno. Infrared Thermography for Thermo-Fluid-Dynamics. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-29508-9.

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Astarita, Tommaso. Infrared Thermography for Thermo-Fluid-Dynamics. Springer Berlin Heidelberg, 2013.

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Carlomagno, Giovanni Maria, and Tommaso Astarita. Infrared Thermography for Thermo-Fluid-Dynamics. Springer Berlin / Heidelberg, 2014.

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Carlomagno, Giovanni Maria, and Tommaso Astarita. Infrared Thermography for Thermo-Fluid-Dynamics. Springer, 2012.

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Book chapters on the topic "Dynamic thermography"

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Amri, Amina, Anthony James Wilkinson, and Susan Helen Pulko. "Potentialities of Dynamic Breast Thermography." In Application of Infrared to Biomedical Sciences. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3147-2_7.

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Kaczmarek, Mariusz, and Antoni Nowakowski. "Active Dynamic Thermography in Medical Diagnostics." In Application of Infrared to Biomedical Sciences. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3147-2_17.

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Visscher, Marty O., Denise M. Adams, and Shona A. Burkes. "Dynamic Infrared Thermography of Infantile Hemangiomas." In Agache’s Measuring the Skin. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-26594-0_150-1.

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Visscher, Marty O., Denise M. Adams, and Shona A. Burkes. "Dynamic Infrared Thermography of Infantile Hemangiomas." In Agache's Measuring the Skin. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-32383-1_150.

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Chernov, G., V. Chernov, and M. Barboza Flores. "3D Dynamic Thermography System for Biomedical Applications." In Application of Infrared to Biomedical Sciences. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3147-2_28.

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Kakileti, Siva Teja, Raghav Shrivastava, and Geetha Manjunath. "Robust Data-Driven Region of Interest Segmentation for Breast Thermography." In Handbook of Dynamic Data Driven Applications Systems. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-27986-7_25.

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Moderhak, Mateusz, Antoni Nowakowski, Mariusz Kaczmarek, Piotr Siondalski, and Łukasz Jaworski. "Active Dynamic Thermography Imaging of Wound Healing Processes in Cardio Surgery." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06596-0_18.

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Jeleń, Łukasz, Krzysztof Krupka, and Andrzej Rusiecki. "Dynamic Infrared Thermography and Machine Learning for Advanced Diagnostic Applications in Biomedical Imaging." In Lecture Notes in Networks and Systems. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-92734-8_8.

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Kumar, Vinod, Carlos Manzano, Jonathan Zheng, and Andrew Ngo. "A Method of Dynamic Active Infrared Thermography to Reduce Inspection Time of CFRP Components." In Lecture Notes in Mechanical Engineering. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-5763-4_24.

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Radomski, Dariusz, and Krzysztof Kruszewski. "Usability of Dynamic Thermography for Assessment of Skeletal Muscle Activity in Physiological and Pathological Conditions – Preliminary Results." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91211-0_51.

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Conference papers on the topic "Dynamic thermography"

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Timadius, Ethan Daniel, Reyner Wongso, Thirza Baihaqi, Alexander Agung Santoso Gunawan, and Karli Eka Setiawan. "Breast Cancer Image Classification Obtained Through Dynamic Thermography using Deep Learning." In 2024 4th International Conference of Science and Information Technology in Smart Administration (ICSINTESA). IEEE, 2024. http://dx.doi.org/10.1109/icsintesa62455.2024.10748049.

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Richter, Kai, Christoph Merz, and Markus Raffel. "Unsteady Boundary Layer Transition Measurements by Differential Infrared Thermography." In Vertical Flight Society 70th Annual Forum & Technology Display. The Vertical Flight Society, 2014. http://dx.doi.org/10.4050/f-0070-2014-9658.

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Maintaining laminar flow over a large portion of a rotor blade reduces drag appreciably. Therefore, the location of boundary layer transition is an important design parameter for rotor blades. Unsteady laminar/turbulent boundary layer transition is of special interest, since modern rotor blade design methodologies increasingly take dynamic performance of into account. Once the design is concluded, the real transition position on the blade is of great interest as the knowledge of the exact transition position is needed for both the validation of the design and the performance assessment. The pa
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Schwermer, Till, Anthony Gardner, and Markus Raffel. "Dynamic Stall Experiments on a Rotor with High Cyclic Setting in Axial Inflow." In Vertical Flight Society 73rd Annual Forum & Technology Display. The Vertical Flight Society, 2017. http://dx.doi.org/10.4050/f-0073-2017-11995.

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A rotor test facility was developed to investigate dynamic stall under optimized boundary conditions compared to conventional hover chambers. It features a defined axial inflow, reduction of ground effect and recirculation of the rotor wake and good optical access to apply non-intrusive measuring techniques. The rotor consists of two blades with an aspect ratio of 6:8 and a tip radius of 0:65m. It was operated at a chord based Reynolds number of 350,000 and a Mach number of 0:21, both at 75% radius. The flow and blade deformation were analyzed by means of unsteady blade pressure transducers, p
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Kaczmarek, M., A. Nowakowski, and A. Renkielska. "Rating Burn Wounds by Dynamic Thermography." In 2000 Quantitative InfraRed Thermography. QIRT Council, 2000. http://dx.doi.org/10.21611/qirt.2000.005.

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Volovik, M., and S. Polevaia. "Dynamic Infrared Mapping of Human Skin." In 2018 Quantitative InfraRed Thermography. QIRT Council, 2018. http://dx.doi.org/10.21611/qirt.2018.p11.

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Vavilov, V., P. G. Bison, C. Bressan, E. Grinzato, and S. Marinetti. "Some new ideas in dynamic thermal tomography." In 1992 Quantitative InfraRed Thermography. QIRT Council, 1992. http://dx.doi.org/10.21611/qirt.1992.040.

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Nowacki, W. K., S. P. Gadaj, and E. A. Pieczyska. "Measurement of temperature during simple dynamic shear." In 2002 Quantitative InfraRed Thermography. QIRT Council, 2002. http://dx.doi.org/10.21611/qirt.2002.024.

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Melnyk, S. I., S. S. Melnyk, and I. G. Tuluzov. "Method of projection dynamic thermal tomography (PDTT)." In 2012 Quantitative InfraRed Thermography. QIRT Council, 2012. http://dx.doi.org/10.21611/qirt.2012.308.

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Chernov, G., V. Chernov, C. Dávila-Peralta, R. Rodriquez-Carvajal, and M. Barboza-Flores. "3D dynamic thermography system for biomedical applications." In 2016 Quantitative InfraRed Thermography. QIRT Council, 2016. http://dx.doi.org/10.21611/qirt.2016.020.

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Peeters, J., S. Verspeek, S. Sels, B. Bogaerts, and G. Steenackers. "Optimised dynamic line scanning thermography for aircraft structures." In 2018 Quantitative InfraRed Thermography. QIRT Council, 2018. http://dx.doi.org/10.21611/qirt.2018.077.

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Reports on the topic "Dynamic thermography"

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DiDomizio, Matthew, and Jonathan Butta. Measurement of Heat Transfer and Fire Damage Patterns on Walls for Fire Model Validation. UL Research Institutes, 2024. http://dx.doi.org/10.54206/102376/hnkr9109.

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Fire models are presently employed by fire investigators to make predictions of fire dynamics within structures. Predictions include the evolution of gas temperatures and velocities, smoke movement, fire growth and spread, and thermal exposures to surrounding objects, such as walls. Heat flux varies spatially over exposed walls based on the complex thermal interactions within the fire environment, and is the driving factor for thermally induced fire damage. A fire model predicts the temperature and heat transfer through walls based on field predictions, such as radiative and convective heat fl
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