TY - CONF A1 - Eddah, Mustapha T1 - Multi-Energy High Dynamic Range (HDR) Synchrotron X-ray Computed Tomography applied to LTCC samples N2 - Synchrotron X-ray computed tomography (SXCT) is regularly used in materials science to correlate structural properties with macroscopic properties and to optimize manufacturing processes. The X-ray beam energy must be adapted to the sample properties, such as size and density. If both strongly and weakly absorbing materials are present, the contrast to the weakly absorbing materials is lost, resulting in image artifacts and a poor signal-to-noise ratio (SNR). One example is a low-temperature co-fired ceramics (LTCC), in which metal connections are embedded in a ceramic matrix and form 3-dimensional conducting structures. This article describes a method of combining SXCT scans acquired at different beam energies, significantly reducing metal artifacts, and improving image quality. We show how to solve the difficult task of merging the scans at low and high beam energy. Our proposed merging approach achieves up to 35% improvement in SNR within ceramic regions adjacent to metallic conductors. In this way, previously inaccessible regions within the ceramic structure close to the metallic conductors are made accessible. T2 - iCT 2026 CY - Linz, Austria DA - 10.02.2026 KW - Synchrotron x-ray CT KW - Multi-energy CT KW - Low-Temperature cofired ceramics PY - 2026 AN - OPUS4-65586 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Tiebe, Carlo T1 - Advancing Traceability of Humidity Sensors for CO2-Based Applications Using Optical-Feedback Cavity-Enhanced Spectroscopy and Chilled Mirror Hygrometers N2 - Advancing Traceability of Humidity Sensors for CO₂-Based Applications Using Optical Feedback Cavity Enhanced Spectroscopy and Chilled Dew Point Hygrometers Content : The volume fraction of humidity in gaseous feedstocks, intermediates, products, and carrier gases plays a critical role in numerous industrial processes. Two emerging areas of application are particularly noteworthy. On the one hand, there is a strategic shift towards replacing fluorinated inert gases of gas-insulated switchgear systems, and on the other hand, cost-effective humidity measurements are gaining importance in the carbon capture and storage (CCUS) applications. The accuracy of applied sensor-based systems in these contexts must be assessed with respect to the specified threshold value of the application. However, the reliability and reproducibility of the reading have to be assessed to prevent errors. Generally, humidity measurement in gaseous carbon dioxide is feasible; however, the chemical reactivity of water with CO₂ can cause significant matrix effects. If the ITS-Sonntag equation is considered to be valid in carbon dioxide, chilled mirror hygrometers can be applied for reference measurements. Further, spectroscopic methods, like optical feedback cavity enhanced absorption spectroscopy (OFCEAS), can be applied, offering another robust reference method for determining humidity volume fractions. Here, we applied OFCEAS and a chilled mirror hygrometer for reference value determination. We verified the traceability of both instruments to our in-house gravimetric gas standards containing (100.69 ± 1.564) µmol/mol water in carbon dioxide. We further applied dynamic dilution with our in-house designed humidification unit to create sample gases that contained a volume fraction of (10 to 500) µmol/mol. In these gases, verified by OFCEAS and chilled mirror hygrometer, we conducted a measurement campaign to identify and characterize matrix effects on coulometric and capacitive sensors. T2 - Gas Analysis 2026 CY - Paris, France DA - 27.01.2026 KW - Hygrometry KW - Humidity Sensor KW - OF-CEAS KW - Chilled Mirror KW - Optical-Feedback Cavity-Enhanced Spectroscopy PY - 2026 AN - OPUS4-65541 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Nicolai, Marcel T1 - Investigation of lamb wave mode repulsion with a spring-based model N2 - Lamb waves are widely utilized in material characterization, non-destructive testing (NDT), and structural health monitoring (SHM). A unique feature of Lamb waves is mode repulsion, where dispersion curves approach each other but do not cross. This phenomenon is observed in both single and multilayer plates and is influenced by wave coupling. While mode repulsion in single plates has been linked to symmetry-breaking effects, its underlying mechanism in multilayer systems remains unclear. This study investigates mode repulsion in a coupled aluminum-polycarbonate plate system using a spring-based interface model. Dispersion curves are computed via the Scaled Boundary Finite Element Method, and time-domain simulations are used to analyze the interface dynamics. Results indicate that repulsion depends on interface stiffness, distinguishing between opening and closing repulsion regions. The study further reveals that mode repulsion corresponds to distinct oscillatory behaviors in the interface, where certain wave modes induce increased coupling spring elongation, leading to localized strain. A coupled harmonic oscillator model effectively explains opening repulsion regions but does not fully capture closing regions. Findings suggest that mode repulsion could be leveraged for non-destructive evaluation of adhesive interfaces, offering insights into bond strength characterization. This research contributes to a deeper understanding of wave interactions in multilayer structures and provides a theoretical foundation for advancing NDT and SHM techniques. T2 - 2025 ICU PADERBORN - 9th International Congress on Ultrasonics CY - Paderborn, Germany DA - 21.09.2025 KW - Lamb waves KW - Mode repulsion KW - Coupled plates KW - Elastic interface KW - Dispersion curves PY - 2025 AN - OPUS4-65531 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Epple, Niklas T1 - Structural Monitoring in an Urban Underground Metro Station Using Coda Wave Interferometry N2 - Active ultrasonic monitoring with coda wave interferometry has demonstrated its potential for structural health monitoring in concrete structures. This study investigates its application using ultrasonic transducers embedded in the ceiling of a subway station in Munich, Germany. We evaluate the impact of environmental conditions, specifically electromagnetic interference and temperature, on data quality, as well as the influence of regular loading from passing trams. Results indicate that electromagnetic interference significantly affects measurements, while temperature effects remain minimal due to the station’s stable thermal environment. Long-term measurements and a controlled load test show that both dynamic and static loading from trams induce ultrasonic velocity changes of only 0.01%–0.06%. Although the experiment demonstrates the capacity to detect structural responses and supports the feasibility of long-term monitoring, T2 - NDT-CE 2025 CY - Izmir, Türkiye DA - 24.09.2025 KW - Coda Wave Interferometry (CWI), KW - Coda Wave Monitoring KW - Concrete KW - Ultrasonic testing KW - Urban infrastructure PY - 2025 AN - OPUS4-65462 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Bertovic, Marija T1 - Menschen in ZfP: Wie gut verstehen wir die menschliche Faktoren? N2 - Menschliche Faktoren spielen eine zentrale Rolle für die Zuverlässigkeit, Sicherheit und Leistungsfähigkeit zerstörungsfreier Prüfsysteme (ZfP), werden jedoch in technischen Bewertungen häufig nur unzureichend berücksichtigt. Der Beitrag untersucht den Einfluss individueller, organisatorischer und technologischer Faktoren auf die menschliche Leistung in manuellen und mechanisierten ZfP-Verfahren. Auf Basis empirischer Untersuchungen und systemorientierter Analysen werden typische Risiken wie Arbeitsbelastung, Automatisierungsbias, unzureichendes Interaktionsdesign und organisatorische Rahmenbedingungen aufgezeigt. Die Ergebnisse verdeutlichen, dass der Einsatz automatisierter und KI-gestützter Technologien menschliche Risiken nicht per se reduziert, sondern teilweise neue, weniger sichtbare Risiken erzeugt. Der Beitrag plädiert daher für einen ganzheitlichen, menschzentrierten Ansatz, der Human Factors systematisch in Entwicklung, Einführung und Bewertung von ZfP-Systemen integriert, um die Gesamtzuverlässigkeit nachhaltig zu verbessern. T2 - Hamburger NDT Tage 2016 CY - Hamburg, Germany DA - 16.11.2016 KW - Human Factors KW - Menschliche Faktoren KW - NDT Reliability PY - 2016 AN - OPUS4-65459 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Epple, Niklas T1 - Monitoring of Concrete Infrastructure with Active Ultrasound Coda Wave Interferometry N2 - Coda Wave Interferometry has been used in Geophysics to detect weak changes in scattering media. Past research in Structural Health Monitoring has shown that this methodology can be applied to concrete structures to detect material changes by calculation of relative velocity changes. Successive measurements with embedded ultrasonic transducers provide a repeatable signal for reliable long-term monitoring of concrete. To research the application in real-world structures, we have embedded ultrasonic transducers in a bridge in Ulm and a Metro station in Munich, Germany. This study gives an overview of the monitoring of these two structures. The results show the potential and challenges of the method. Data evaluation can be largely automated to gain insights into material changes and other influences on the structure, such as traffic-induced load and temperature variations. The experiments demonstrate the ease of installation, longevity of the sensor installation, and sensitivity of the measurement technique, but highlight problems with the application, especially if electromagnetic noise affects data quality. As no confirmed substantial damage was recorded during the monitoring period on both structures, we evaluate load tests to investigate the effect of static load on the structures and the coda monitoring results. The experiments show that the influence of load can be detected, even if the temperature influence is not removed from the data. This indicates that online damage detection with coda monitoring is possible, but further research on damage detection in real-world structures has to be conducted to confirm laboratory findings. T2 - 13th International Conference on Structural Health Monitoring of Intelligent Infrastructure CY - Graz, Austria DA - 01.09.2025 KW - Active Ultrasound Measurements KW - Coda Wave Monitoring, KW - Embedded Transducers PY - 2025 AN - OPUS4-65460 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Bertovic, Marija T1 - Automation in non-destructive testing: new risks and risk sources N2 - Over the past couple of decades Non-Destructive Testing (NDT) has seen a significant increase in the use of automation. In addition to increased reliability, objectivity, consistency, repeatability, productivity, and so on, automating parts of the process is expected to decrease the potential for human error. However, the literature on human-automation interaction suggests that automation is not only associated with benefits, but also with new risks and risk sources. First, this paper will present the methodology used to identify—for the first time—possible risks associated with mechanised data acquisition and corresponding data evaluation. Moreover, it will highlight possible risks, their causes, consequences, and ways of preventing them. Second, those preventive measures will be further analysed by examining new risks that can arise from their implementation, i.e. potential for failure that can arise from (a) working with automated defect-detection and sizing aids, (b) implementing human redundancy, and (c) improvement of the inspection procedures without due consideration of the procedure users. And third, some optimisations strategies will be provided. The purpose of this work is to show that mechanised testing is associated with potential for failure and that the sources of those risks go beyond single inspectors and need to be looked at in the interaction of people with other systems, i.e. the technology, the team and, most importantly, the organisation. T2 - 55th annual Conference of the British Institute for Non-Destructive Testing CY - Nottingham, United Kingdom of Great Britain and Northern Ireland DA - 12.09.2016 KW - Human Factors KW - Automation KW - NDT Reliability PY - 2016 AN - OPUS4-65458 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Breese, Philipp Peter T1 - Klein, heiß und schnell: Bestimmung von Realtemperaturen in der metallbasierten additiven Fertigung mittels hyperspektraler Thermografie N2 - Die additive Fertigung von Metallen mittels Laser Powder Bed Fusion (PBF LB/M) ermöglicht die Herstellung komplexer Geometrien und die Nutzung neuartiger Legierungen. Die dabei lokal im Prozess auftretenden Temperaturverteilungen beeinflussen maßgeblich die Bauteileigenschaften sowie die Entstehung von Defekten wie bspw. Risse und Poren. Eine quantitative Bestimmung der Realtemperaturen ist daher essenziell für Prozessvalidierung und -vergleich sowie die Qualitätssicherung und das Verständnis der zugrunde liegenden physikalischen Vorgänge. Bisherige thermografische Monitoring-Ansätze liefern jedoch meist nur qualitative Informationen. Hintergrund sind die Herausforderungen gegeben durch den Prozess: kleine Schmelzbäder (< 300 µm), hohe Temperaturen (> 2500 K) und hohe Scangeschwindigkeiten (ca. 1 m/s). Zusammen mit den dynamischen Änderungen des Emissionsgrads u.a. durch Phasenübergänge ergeben sich äußerst schwierige Bedingungen für thermografische Messungen. Um dieser Herausforderung zu begegnen, verfolgen wir einen neuartigen Ansatz zur hyperspektralen Thermografie, der eine simultane Messung der emittierten Strahlung im kurzwelligen Infrarotbereich (1 bis 1,6 µm) entlang einer Linie bei ca. 20 kHz ermöglicht. Durch die Bewegung des Schmelzbades senkrecht durch die Messlinie kann ein typisches Schmelzbad rekonstruiert werden. Die Temperatur-Emissionsgrad-Separation (TES) erlaubt dabei die Bestimmung von Realtemperaturen und Emissionsgraden basierend auf parametrisierten spektralen Emissionsgradfunktionen sowie radiometrischen Kalibrationen. Die Umsetzung erfolgt an der Forschungsmaschine der BAM „SAMMIE“, die speziell für thermografische Messungen am PBF LB/M-Prozess konzipiert wurde. Die Ergebnisse zeigen das Potenzial der hyperspektralen Thermografie zur Erfassung von Realtemperaturen im Prozess. Dies stellt einen wichtigen Schritt zur verbesserten Vergleichbarkeit und Wiederholbarkeit der Fertigung sowie zur Validierung komplexer Simulationen dar. Damit trägt der neuartige Ansatz langfristig zur Erhöhung der Sicherheit und des Verständnisses additiver Fertigungsprozesse bei. T2 - Thermo 25 CY - Garching bei München, Germany DA - 12.11.2025 KW - Laser powder bed fusion KW - Infrarot Thermografie KW - In-situ Monitoring KW - Qualitätssicherung KW - Temperaturmessung PY - 2025 AN - OPUS4-65394 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Breese, Philipp Peter T1 - Thermographic Methods for In-situ Monitoring of Metal-based Additive Manufacturing Processes N2 - Additive manufacturing (AM) with metals creates new, exciting opportunities for industrial applications. Especially industries with high relevance for the future like transport and energy benefit from optimized designs and novel materials. However, a reliable in-situ quality assurance for metal AM is still missing while process optimization is slow. This directly hinders the huge potential of metal AM technologies. A promising method to counteract this issue is the investigation of the emitted thermal radiation. It is optimal for monitoring and understanding the thermal history of the high-temperature AM process. The thermal history holds virtually all information about the properties and the quality of the manufactured components. The thermal information is also highly valuable for tuning and validating numerical simulations to gather further insights into the process. Despite this importance, the usage of thermal radiation in commercial AM machines is only marginal (like simple pyrometry or long-time exposure for optical tomography (OT) at a single wavelength). Based on this deficit and potential, this work gives an overview of the research in division “8.3 Thermographic Methods” at the Bundesanstalt für Materialforschung und -prüfung (BAM) in Berlin, Germany. Different wavelengths of the thermal radiation are investigated: the visible range (VIS), the short-wave infrared (SWIR), and the mid-wave infrared (MWIR) with their respective optimal field of application. Focus lies on laser powder bed fusion of metals (PBF-LB/M), but directed energy deposition with laser beam (DED-LB/M) is investigated as well. The presented research is performed not only on commercial AM machines, but also on an in-house developed PBF-LB/M research system specifically designed for sensor testing. This ensures an exciting mélange of applied research for industrial applications, and fundamental research for process understanding and validation. Therefore, a crucial contribution to industrial and scientific insights of metal AM is given. T2 - Sim-AM 2025 CY - Pavia, Italy DA - 09.09.2025 KW - Laser powder bed fusion KW - Direct energy deposition KW - Quality assurance KW - Infrared thermography PY - 2025 AN - OPUS4-65391 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Kunji Purayil, Sruthi Krishna T1 - Multimodal Deep Learning Framework for Crack Segmentation in Complex Components Using Robot-Assisted Laser Thermography N2 - Crack detection and segmentation in complex components are critical for maintaining the structural integrity and reliability of systems operating under extreme conditions, such as turbine blades in energy and aerospace applications. The integration of automated multimodal imaging-based non-destructive testing (NDT) with deep learning provides a promising path towards precise and automated defect characterization. In this study, a hybrid multimodal deep learning framework is proposed, combining the advantages of an unsupervised generative adversarial network (GAN) and a supervised U-Net segmentation model for comprehensive crack detection and quantification. The unsupervised multimodal GAN performs data fusion by integrating complementary features from high-resolution thermal and RGB images acquired using a robot-assisted flying laser-line thermography system. This data fusion improves the contrast and representation of surface and sub-surface cracks by leveraging spectral features across multiple imaging modalities. The GAN is trained to reconstruct crack free images and difference between the generated image and real crack image generates an error map that highlights the cracks. The unsupervised approach helps in reducing the need for manual labeled data and generalizes well across different surface conditions. The error maps from GAN are subsequently processed by a U-Net-based segmentation model trained on labeled datasets to achieve precise pixel-level crack localization and morphological estimation. The use of laser thermography induces localized heating on the component surface, providing transient thermal responses that make subtle cracks and defects visible beyond the limits of visual imaging. Experimental validation demonstrates that the proposed hybrid GAN–U-Net framework achieves significantly improved crack detection accuracy and segmentation performance compared to single modal NDE imaging, and data processing based on traditional threshold-based methods. This work underscores the potential of combining unsupervised multimodal fusion with supervised image segmentation to establish a new framework that helps in building automated, data-driven, and robot-assisted NDT systems for intelligent inspection and structural health monitoring of industrial components. T2 - NDE 2025 CY - Mumbai, India DA - 11.12.2025 KW - Non-destructive Testing KW - Infrared Thermography KW - Laser KW - Data Fusion KW - Multimodal Imaging KW - NDE 4.0 PY - 2025 AN - OPUS4-65304 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -