TY - INPR A1 - Zhu, Pengfei A1 - Maldague, Xavier T1 - Principal Component Analysis-Based Terahertz Self-Supervised Denoising and Deblurring Deep Neural Networks N2 - Terahertz (THz) systems inherently introduce frequency-dependent degradation effects, resulting in low-frequency blurring and high-frequency noise in amplitude images. Conventional image processing techniques cannot simultaneously address both issues, and manual intervention is often required due to the unknown boundary between denoising and deblurring. To tackle this challenge, we propose a principal component analysis (PCA)-based THz self-supervised denoising and deblurring network (THz-SSDD). The network employs a Recorrupted-to-Recorrupted self-supervised learning strategy to capture the intrinsic features of noise by exploiting invariance under repeated corruption. PCA decomposition and reconstruction are then applied to restore images across both low and high frequencies. The performance of the THz-SSDD network was evaluated on four types of samples. Training requires only a small set of unlabeled noisy images, and testing across samples with different material properties and measurement modes demonstrates effective denoising and deblurring. Quantitative analysis further validates the network’s feasibility, showing improvements in image quality while preserving the physical characteristics of the original signals. KW - Non-destructive testing (NDT) KW - Terahertz KW - Denoising KW - Self-supervised learning KW - Deblurring PY - 2026 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-654043 DO - https://doi.org/10.48550/arXiv.2601.12149 SN - 2331-8422 SP - 1 EP - 9 PB - Cornell University CY - Ithaca, NY AN - OPUS4-65404 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Krankenhagen, Rainer A1 - Chaudhuri, Somsubhro A1 - Pittner, Andreas A1 - Winterkorn, Rene A1 - de Finis, Rosa A1 - Palumbo, Davide A1 - Galietti, Umberto T1 - Thermographic investigation of the anisotropic behaviour of additively manufactured AISI316 steel using DED-Arc N2 - Additive manufacturing is one of the most promising techniques for industrial production and maintenance, but the specifics of the layered structure must be considered. The Direct Energy Deposition-Arc process enables relatively high deposition rates, which is favourable for larger components. For this study, specimens with different orientations were prepared from one AISI316 steel block – parallel and orthogonal to the deposition plane. Quasistatic tensile loading tests were carried out, monitored by an infrared camera. The obtained surface temperature maps revealed structural differences between both orientations. The consideration of surface temperature transients yields more details about the behaviour of the material under tensile loading than the conventional stress-strain-curve. These preliminary investigations were supplemented by thermographic fatigue trials. Although the anisotropy was also observed during fatigue loading the fatigue behaviour in general was the same, at least for both inspected specimens. The presented results demonstrate the abilities and the potential of thermographic techniques for tensile tests. T2 - 17th Quantitative Infrared Thermography Conference CY - Bologna, Italy DA - 07.07.2025 KW - Thermoelastic effect KW - Wire-arc-additive manufacturing KW - thermal stress analysis KW - fatigue testing PY - 2026 DO - https://doi.org/10.21611/qirt-2024-029 SP - 1 EP - 8 AN - OPUS4-65372 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Sobczak, M. A1 - Lecompagnon, Julien A1 - Hirsch, Philipp Daniel A1 - Pieczonka, Ł. A1 - Ziegler, Mathias T1 - Impact damage characterization on CFRP parts using laser line scanning active thermography N2 - This study presents a dual-path data processing framework for the detection and characterization of barely visible impact damage (BVID) in carbon-fiber-reinforced polymer (CFRP) structures using laser line thermography (LLT). A robotic LLT system was used to scan impacted CFRP specimens, and the resulting thermal sequences were analyzed using two complementary methods: full thermogram reconstruction followed by Pulse Phase Thermography (PPT) to detect subsurface delaminations, and Time-Summed Gradient Filtering (TSGF) to enhance surface-breaking cracks. Both processing paths produced interpretable results that were fused into a unified combined image and overlay mask, enabling simultaneous visualization of different defect types from a single scan. Quantitative analysis was performed on the binary masks to extract defect dimensions and Signal-to-noise ratio (SNR) values. The results demonstrated that delaminations and multiple cracks could be accurately detected and spatially distinguished, with good agreement to reference methods such as flash thermography and vibrothermography. This work highlights the potential of LLT as a versatile and scalable inspection technique, where multimodal defect detection and segmentation can be achieved through targeted processing and data fusion strategies. KW - Active thermography KW - CFRP KW - Laser line scanning KW - Delamination KW - Cracks KW - BVID KW - NDT PY - 2026 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-654097 DO - https://doi.org/10.1016/j.compositesb.2026.113425 SN - 1359-8368 VL - 313 SP - 1 EP - 9 PB - Elsevier Ltd. AN - OPUS4-65409 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - RPRT A1 - Krankenhagen, Rainer A1 - Chaudhuri, Somsubhro A1 - Stamm, Michael A1 - Lapšanská, Ivana A1 - Aderhold, J. A1 - Schlüter, F. T1 - EvalTherm – Evaluierung der passiven Thermografie für die Zustandsbewertung von Rotorblättern an Windenergieanlagen N2 - Der Bericht gibt einen Überblick über im Rahmen des Projektes durchgeführte Forschungsarbeiten sowie ausgewählte Ergebnisse. Er wurde zusammen mit dem FhI für Holzforschung (WKI) erstellt. KW - Rotorblattinspektion KW - Passive Thermografie KW - Feldmessungen KW - Windturbine PY - 2025 N1 - Schlussbericht des Projektes N1 - Laufzeit: 1.9.2020 – 31.8.2024 N1 - Das Verbundprojekt wurde im Rahmen des 7. Energieforschungsprogramms "Innovationen für die Energiewende" gefördert N1 - Das Vorhaben wurde mit Mitteln des Bundesministeriums für Wirtschaft und Klima unter dem Förderkennzeichen 03EE3035A/B gefördert SP - 1 EP - 67 PB - Technische Informationsbibliothek (TIB) CY - Hannover AN - OPUS4-62647 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Chaudhuri, Somsubhro A1 - Junker, Birgit T1 - Infrared thermography as an inspection tool for wind turbine rotor blades N2 - With the rapid expansion of wind turbine construction, rotor blades have increasingly been identified as a primary cause of turbine downtime and failure. This has led to a growing demand for inspection technologies through which energy production losses can be minimised—particularly in comparison to conventional methods such as rope-access inspections—and through which sub-surface blade conditions can be assessed to detect damage or failure in advance. Infrared thermography has been considered as a promising non-contact, full-field inspection method that can be applied to rotor blades in both operational and idle states. In this presentation, delivered at BladesEurope 2025, the physical mechanisms that give rise to thermal contrast during thermographic inspection were explained, as this contrast enables the detection and visualisation of structural features. Results obtained from a collaborative project between BAM and Statkraft Norway were presented, followed by the validation of a finite element simulation through experiments conducted in a climate chamber.” T2 - BladesEurope Forum 2025 CY - Edinburgh, Scotland DA - 29.04.2025 KW - Thermography KW - Wind energy KW - Inspection KW - Windenergie anlage rotorblätte KW - Damage detection PY - 2025 AN - OPUS4-63060 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Madia, Mauro T1 - Influence of defects on the fatigue strength of parts repaired by cold spray N2 - Cold spray repair is a promising and cost-saving alternative to replacing worn parts. Depositing of materials into machined damage volumes in decent quality can restore the performance of refurbished parts and extend their working life. Furthermore, repair counts as resource-efficient and green process in a world targeting at decarbonization of many industrial sectors. Despite the advantages, cold spray repair still suffers from major limitations which prevent its application in safety relevant parts. The main factors influencing the structural integrity concern the adhesion strength, inherent non-bonded internal interfaces, the reduced ductility by work hardening during the manufacturing process, and the presence of residual stresses. This work presents the results of the collaborative project CORE devoted to the development of automatized repair of aerospace parts by cold spray. The investigations considered the aluminum alloy Al6061-T6 which combines medium-high strength, good workability, and high corrosion resistance. Quasi-static tensile tests, high cycle fatigue and fatigue crack propagation tests were performed to compare the performance of base and repaired materials. These were complemented by fractographic and microstructural investigations. T2 - 5th International Symposium on Fatigue Design and Material Defects CY - Trento, Italy DA - 14.05.2025 KW - Cold Spray KW - Component Repair KW - Fatigue Strength KW - Defects KW - Surface Treatment PY - 2025 AN - OPUS4-63146 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Elahi, Seyed Ahmad A1 - Mehri Sofiani, F. A1 - Chaudhuri, Somsubhro A1 - Balbin, J.A. A1 - Larossa, N.O. A1 - De Waele, Wim T1 - A numerical study on fatigue strength degradation due to pitting corrosion of S355 structural steel in a marine environment N2 - This study investigates the influence of pitting corrosion on the fatigue strength of S355 steel, commonly used in offshore wind support structures. A short crack microstructural model is employed to estimate the degraded fatigue strength, effectively capturing the physics of the problem with minimal input parameters. Material characterization tests provide the key mechanical properties of S355 steel. A parametric analysis is used to examine the effects of pit shape, size, and aspect ratio. A generic relationship is identified between degraded fatigue strength and pit size for various pit aspect ratios. A sensitivity analysis reveals that the pit aspect ratio significantly influences fatigue strength, with sharper pits leading to greater reductions. The threshold stress intensity factor has a moderate effect, while in-air fatigue strength and grain size have minimal impacts. A case study is performed to evaluate the fatigue strength degradation of S355 steel exposed to the North Sea environment. Findings indicate that the most severe degradation occurs in the initial years of exposure, with the degradation rate declining over time. The results align well with experimental data, offering a robust framework for assessing structural integrity in a marine environment. KW - Fatigue strength KW - Corrosion fatigue KW - Pitting corrosion KW - Short crack KW - Micromechanical model KW - S355 structural steel PY - 2025 DO - https://doi.org/10.1016/j.engfailanal.2025.109669 SN - 1873-1961 VL - 177 SP - 1 EP - 21 PB - Elsevier Ltd. AN - OPUS4-63062 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Averin, Anton T1 - Automated thermographic inspection of radioactive waste drums N2 - In Germany, more than 130,000 cubic meters of low- and medium-level radioactive waste, comprising approximately 90% of the nation’s total radioactive waste, are stored in 200-liter drums. These waste drums, housed in interim storage facilities, are subject to human visual inspections for outer corrosion, while the final disposal site, the Konrad mine, is scheduled for completion in 2030. Manual inspections introduce the risk of human error, making the process less reliable and less safe. The proposed study aims to automate these inspections by implementing remote and non-destructive testing (NDT) methods. The part of project specifically focuses on the application of infrared thermography to detect inner defects in the metallic drums, which could not have been detected so far using visual inspection alone. However, several challenges affect the accuracy of thermographic inspections, such as the presence of surface contaminants (scratches, dirt, stickers), multiple paint layers with low thermal conductivity, and barrel curvature, which disrupt heat distribution and obscure defect signals. This study explores the effectiveness of various thermographic heat sources—flash lamps and laser—as well as techniques including conventional pulse thermography (PT), lock-in thermography. It explores various thermal data processing methods as principal component thermography (PCT), pulse-phase thermography (PPT) and thermal signal reconstruction (TSR). Additionally, machine learning models were estimated to process thermographic images, effectively filtering artifacts (e.g. surface contaminants). The findings suggest that combining advanced thermography techniques with machine learning improves defect detection, ensuring more reliable and automated inspection processes for radioactive waste storage. T2 - SPIE Defense+Commercial Sensing- Thermosense: Thermal Infrared Applications XLVII CY - Orlando, FL, USA DA - 13.04.2025 KW - Infrared thermography KW - Automated inspection KW - Pulse-phase thermography KW - Principal component thermography KW - Thermal Data Processing KW - Laser thermography KW - Defect detection KW - Machine Learning PY - 2025 AN - OPUS4-63119 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Lecompagnon, Julien T1 - Einsatz neuartiger Erwärmungsstrategien mit zeitlicher Modulation zur Steigerung der Detektionsgrenzen in der aktiven Laserthermografie N2 - Moderne Lasersysteme haben sich als vielseitige Wärmequellen für aktive thermografische Prüfungen erwiesen. Im Vergleich zu herkömmlichen Lichtquellen wie Blitz- oder Halogenlampen können ihre Ausgangsleistungen leicht moduliert werden, was eine Vielzahl komplexer Anregungen ermöglicht. Diese Studie untersucht die Wirksamkeit verschiedener zeitlich strukturierter Erwärmungsmethoden zur Detektion und Tiefenbestimmung von Defekten. Insgesamt werden verschiedene komplexe zeitlich strukturierte Erwärmungsmuster verglichen, darunter Einzelpuls und kodierte Anregung mit Barker-Codes und Legendre-Sequenzen, sowie klassische Lock-in- Modulation und neuartige Multifrequenz-Lock-in Anregung. Die Untersuchung konzentriert sich auf dabei auf die Erreichung einer maximalen Temperaturerhöhung zur Steigerung des Signal-Rauschverhältnisses auch bei Anregungen mit großen Frequenzinhalt und die erreichte Qualität der Defekterkennung bei unterschiedlichen Anregungsschemata. Die experimentellen Ergebnisse zeigen, dass kodierte Anregungen wie Barker- und Legendre-Sequenzen im Vergleich zur Einzelpulsheizung nicht nur höhere Temperaturanstiege, sondern bei gleichem Frequenzinhalt auch eine bessere Defekterkennung ermöglichen. Insbesondere die Mehrton-Modulation zeigte den höchsten Temperaturanstieg und ermöglicht die Bewertung in verschiedenen Tiefen ohne Verlängerung der Messzeit. Die Verwendung kodierter Anregungen bietet signifikante Vorteile bei der thermografischen Erkennung interner Defekte. Die Ergebnisse dieser Studie tragen dazu bei, die Effizienz und Genauigkeit der thermografischen Prüfmethoden zu verbessern, insbesondere bei der Untersuchung von Materialien mit hoher Wärmeleitfähigkeit und tief verborgenen Defekten. Besonders an den untersuchten Modulationsmethoden profitieren alle Anregungsmethoden, die aktuell technologie- oder prinzipbedingt unter geringen realisierbaren Ausgangsleistungen leiden. Besonders hervorzuheben ist hier die Nutzung von Laserprojektoren als Wärmequelle, die vielseitig einsetzbar eine räumlich strukturierte Erwärmung für thermografische Prüfungen ermöglichen, jedoch bisher stark in ihrer optischen Ausgangsleistung limitiert sind. T2 - Jahrestagung der Deutschen Gesellschaft für Zerstörungsfreie Prüfung (DGZfP) 2025 CY - Berlin, Germany DA - 26.05.2025 KW - Thermografie KW - Laser KW - Kodierte Anregung KW - Pulskompression PY - 2025 UR - https://www.ndt.net/?id=31259 AN - OPUS4-63251 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Hatz, N. T1 - Automatisierte zerstörungsfreie Innenkorrosionserkennung an radioaktiven Fassgebinden N2 - Im Rahmen der Fördermaßnahme „FORKA – Forschung für den Rückbau kerntechnischer Anlagen“ entwickeln das Karlsruher Institut für Technologie (KIT) zusammen mit den Projektpartnern der Bundesanstalt für Materialforschung (BAM), der Kraftanlagen Heidelberg GmbH (KAH) und der Landessammelstelle Berlin (ZRA) ein automatisiertes und auf zerstörungsfreien Prüfverfahren basierendes Fassinspektionssystem im Projekt ZIKA. Dieses System ermöglicht es, den aktuellen Zustand einzelner Fassgebinde auf genau dieselbe reproduzierbare Weise zu bestimmen und zu dokumentieren. Es trägt bei gleichzeitiger Erhöhung der Arbeitssicherheit zu einer Optimierung der wiederkehrenden Prüfungen durch Vereinheitlichungen und Reproduzierbarkeit bei. Zusätzlich kann durch eine Innenkorrosionserkennung frühzeitig Schäden erkannt werden, die bei einer regulären Inspektion nicht feststellbar wären. In Rahmen des Vorgängerprojekts EMOS wurde bereits eine Demonstrationsanlage zur Fassinspektion in einen geschlossenen Container gebaut, die über ein Bedienpanel gesteuert wird und es ermöglicht, das Äußere des Fasses zu inspizieren. Ziel von ZIKA ist es, die Erkenntnisse aus EMOS zu nutzen und eine Innenkorrosionserkennung zu integrieren, sowie das Gesamtsystem zu verkleinern. Zur Innenkorrosionserkennung werden an Testkörpern verschiedene zerstörungsfreie Prüfverfahren evaluiert und auf deren Eignung bewertet. Zu den Prüfverfahren gehören Thermografie, verschiedene Ultraschallprüftechniken, magnetische Streuflussmessung und Wirbelstromprüfung. T2 - KONTEC 2025 - Internationales Symposium Konditionierung radioaktiver Betriebs- und Stilllegungsabfälle & Stilllegung kerntechnischer Anlagen CY - Dresden, Germany DA - 17.09.2025 KW - Thermografie KW - Laserthermografie KW - ZfP KW - Machine learning PY - 2025 AN - OPUS4-64127 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -