TY - CONF A1 - Scheuschner, Nils T1 - Emissivity Prediction of Rough Cast Iron for Laser Thermography N2 - This study presents a method for predicting the emissivity of rough cast iron surfaces to enhance the accuracy of laser thermography in industrial non-destructive testing (NDT). Traditional emissivity measurements are impractical in industrial settings due to environmental interference and equipment limitations. The proposed approach replaces complex setups like integrating spheres with a simplified illumination unit and reflection measurements. By leveraging known material properties and surface characteristics, an algorithm predicts directional emissivity. Experimental results of an initial feasibility study show strong agreement between predicted and measured values, demonstrating the method’s potential for real-time emissivity correction in industrial thermographic inspections. T2 - Advanced Infrared Technology and Applications (AITA) 2023 CY - Venice, Italy DA - 10.09.2023 KW - Thermography KW - Laser KW - NDT KW - Cast iron PY - 2023 AN - OPUS4-63121 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 - Brunner, Nanine T1 - Digital Certificates: Enabling Automation in Quality Assurance and Metrological Traceability N2 - This presentation describes how the Digital Calibration Certificate (DCC) for temperature was implemented in the accredited calibration laboratory at BAM. It includes an overview of the integration of the digital calibration symbol (digital seal) to ensure authenticity, integrity, and traceability of the certificate. The DCC is provided in a structured XML format, enabling machine-readability and seamless data integration into digital processes. A demonstrator developed within the QI-Digital project is presented to showcase the practical advantages of the DCC over traditional paper or PDF-based certificates — including automation, data security, and improved usability in digital quality infrastructure systems. T2 - Sensor and Measurement Science International (SMSI) CY - Nuremberg, Germany DA - 05.05.2025 KW - DCC KW - QI Digital KW - Demonstrator KW - SMSI in Nürnberg 2025 PY - 2025 AN - OPUS4-63100 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Gaal, Mate T1 - Focussed sound field of thermoacoustic transmitters N2 - The thermoacoustic effect offers a method for selectively exciting broadband and focused ultrasonic waves, which can be utilized in air-coupled ultrasonic testing of lightweight components that might otherwise sustain damage from liquid couplants. Thermoacoustic transmitters are composed of an electrically conductive layer deposited on an insulating substrate. When electrical pulses are applied, the conductive layer heats, briefly warming the adjacent air and inducing thermal expansion, which generates an acoustic wave. In testing applications, the thermoacoustic transmitter is positioned at the focal distance to the structure under examination, where the resolution of the resulting ultrasonic image is influenced by the focus diameter. To optimize imaging resolution, understanding the focusing characteristics of thermoacoustic transmitters is essential. In this study, thermoacoustic transmitters with an indium tin oxide (ITO) layer on a quartz glass substrate were developed. Geometrical parameters, including substrate curvature and conductive layer thickness, along with electrical excitation parameters, were systematically varied to investigate their impact on the sound field up to approximately 1 MHz. The results indicate that, among the parameters studied, substrate curvature exerts the most significant influence on the sound field. T2 - DAS-DAGA Tagung CY - Copenhagen, Denmark DA - 17.03.2025 KW - Air-coupled ultrasound KW - Thermoacoustic transmitter KW - Focussed transducer PY - 2025 AN - OPUS4-63093 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Wang, Kun T1 - Exploring INFOTherm and current research N2 - This presentation introduces the INFOTherm project aiming to standardize and improve fiber-optic temperature sensing. Current research focuses on how humidity affects the temperature sensitivity of polyimide-coated fibers. T2 - Tagung am Yokohama National University und Besuch einiger Labors CY - Yokohama, Japan DA - 03.03.2025 KW - Optical fiber sensor KW - INFOTherm KW - Distributed temperature sensing PY - 2025 AN - OPUS4-63088 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Karapanagiotis, Christos T1 - Toward a Digital Twin of Hydrogen Pressure Vessels Enabled by Distributed Fiber Optic Sensors N2 - We present a digital replica of a hydrogen pressure vessel enabled by distributed fiber optic sensors (DFOS). This digital replica dynamically displays and updates the vessel’s structural condition by calculating strain residuals defined as the difference between the measured DFOS strain and the expected strain based on pressure data. As an example, we show the ability of the DFOS to detect and localize damage caused by drilling six holes into the vessel’s body. This digital replica represents a foundational step toward a fully integrated digital twin for predictive maintenance and remaining lifetime prognosis. T2 - Sensor and Measurement Science International 2025 CY - Nuremberg, Germany DA - 06.05.2025 KW - Fiber optic sensors KW - Hydrogen KW - Digital twins KW - Structural health monitoring KW - Machine learning KW - Predictive maintenance PY - 2025 AN - OPUS4-63087 LA - eng 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 - Kunji Purayil, Sruthi Krishna T1 - Multispectral fusion-based crack detection using automated laser thermography inspection N2 - Crack detection of complex components is critical for maintaining the integrity and safety of structures across industries such as energy production and aerospace. The integration of multispectral imaging and automatic robot-based non-destructive testing (NDT) marks a significant advancement in the inspection of complex geometries. Multispectral imaging leverages the utilization of image data from different wavelength ranges for enhanced feature extraction and analysis. This paper proposes a novel image fusion model by combining thermal and visual images for the detection of surface and sub-surface cracks of turbine blades in energy production. Our study uses 3D scanning of components using a robot-assisted flying laser line, which measures high-resolution thermal data and RGB images using visual cameras simultaneously. Laser thermography induces a localized heating on the sample, creating a thermal response that highlights cracks and defects that are often undetectable using conventional imaging techniques. Multispectral image fusion models are developed based on an unsupervised generative adversarial network (GAN) for precise crack detection. The model validation is done using experimental data, and it demonstrated high crack detection accuracy compared to conventional single-band imaging methods. This research highlights the new potential for advancing NDT technologies by combining thermal inspection techniques with optical imaging to develop a multispectral inspection approach. T2 - SPIE Defense+Commercial Sensing- Thermosense: Thermal Infrared Applications XLVII CY - Orlando, FL, USA DA - 13.04.2025 KW - Non-destructive testing KW - Infrared imaging KW - NDE 4.0 KW - Multispectral imaging KW - Laser PY - 2025 AN - OPUS4-63050 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Bulling, Jannis T1 - On the efficient simulation of ultrasonic waves on polygonal meshes N2 - At many stages of technology development in ultrasonic Non-Destructive Testing (NDT) and Structural Health Monitoring (SHM), simulation tools are essential. Many modern approaches to ultrasonic testing, such as Model Assisted Probability of Detection, inverse problems with iterative optimization, or the generation of data for AI training, benefit from highly effcient simulation tools in terms of simulation time. In this talk, we investigate explicit time stepping with the Scaled Boundary Finite Element Method (SBFEM) for approximating the linear elastic wave equation on 2D polygonal meshes, enhanced with a mass lumping technique for faster simulation times. We present the proposed changes to the formulation to successfully use mass lumping. Examples are used to demonstrate that there is no loss of quality due to the approximated mass matrix. Furthermore, mass lumping reduces the simulation time and makes the simulation more effcient. In addition, the proposed simulation method has the advantages of SBFEM meshing techniques. These advantages include fast meshing using an image-based quadtree algorithm or polygonal meshing by transforming triangular meshes based on a CAD model. The latter meshing method can include special crack tip elements that effciently handle the crack tip singularity. T2 - DAS | DAGA 2025 CY - Copenhagen, Denmark DA - 17.03.2025 KW - Non-Destructive Testing (NDT) KW - Scaled Boundary Finite Element Method (SBFEM) KW - Structural Health Monitoring (SHM) PY - 2025 AN - OPUS4-63016 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Lu, Xin T1 - Progress review N2 - We report on the progress on calibration and characterization of distributed temperature sensing systems as a part of the European INFOTherm project. The most research results were achieved in the framework of the Work Package 2. T2 - Midterm meeting of INFOTherm project CY - Copenhagen, Denmark DA - 25.03.2025 KW - Humidity sensor KW - Optical fibre sensors KW - Distributed temperature sensing PY - 2025 AN - OPUS4-63007 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Niederleithinger, Ernst T1 - Emerging technologies for non destructive testing and monitoring of concrete structures in nuclear facilities N2 - For a long time, practical application of non-destructive testing in civil engineering has been limited on simple (but useful) methods such as rebound hammers, ultrasonic pulse velocity measurements, rebar detectors or potential mapping. Since the late 1990ies new methods and devices have been developed for geometry and damage detection, including radar and ultrasonic echo array techniques which brought progress in condition assessment of buildings and infrastructure assets. However, there are still gaps, especially for massive concrete structures used in nuclear facilities, including lack of penetration depth, resolution, or translation of NDT parameters to engineering properties. Recent research tries to fill these gaps. Currently, new ultrasonic devices with greater penetration depth and better resolution depth are developed, including imaging methods revealing greater details of the interior of concrete constructions. Ultrasonic technologies are also extended to nonlinear methods providing baseline free damage assessment and monitoring capabilities. Another example of a technique with a huge potential for concrete constructions is muon tomography, where first field experiments are underway. A review of the potential and limitations of these methods will be given in the presentation. T2 - IAEA ICARST 2025 CY - Vienna, Austria DA - 07.04.2025 KW - NDT-CE KW - Ultrasound KW - Muography KW - Concrete KW - Emerging PY - 2025 AN - OPUS4-63003 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Niederleithinger, Ernst T1 - NDT-CE Qualification and Certification N2 - Due to the increased demand for NDT investigations and assessment of energy and traffic infrastructure, a qualification and certification system for NDT personel is urgently needed. Up to now, only Italy, Malaysia and Germany have set up such systems. The talk gives an overview of the demand and current activities, including those of IAEA. T2 - IAEA ICARST 2025 CY - Vienna, Austria DA - 07.04.2025 KW - NDT-CE KW - Qualification KW - Certification PY - 2025 AN - OPUS4-63002 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Costard, René T1 - Explosionsauswirkungen auf Strukturen Versuche und Simulationen N2 - Vorstellung der Versuche von Explosionsversuchen auf dem TTS. Diese werden ergänzt durch die Ergebnisse durchgeführter Simulationen und zeigen die Wirkung von zivilen Explosivstoffen auf Gebäudestrukturen und die aufgetretenen Schädigungen. T2 - 46. Informationstagung Sprengtechnik CY - Siegen, Germany DA - 25.04.2025 KW - Explosivstoff KW - Skalierung KW - Strukturauswirkung KW - Numerische Simulation PY - 2025 AN - OPUS4-62998 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Munsch, Sarah Mandy T1 - AI-Driven Material Design: Accelerating Innovation with SLAMD N2 - In the Horizon Europe-funded project REINCARNATE, a user-friendly web application, the "Sequential Learning App for Materials Discovery" (SLAMD), was developed to revolutionize the materials design process [1]. By integrating a digital lab twin with AI-driven approaches, SLAMD supports and significantly accelerates the discovery of optimal material compositions within complex parameter spaces, while considering eco-efficiency and cost-effectiveness. Its versatility and practical relevance are demonstrated through diverse applications: SLAMD is being used to develop two classes of concrete incorporating recycled materials, each with unique requirements and constraints imposed by regulations and industry standards. The first application focuses on optimizing compressive strength with at least 30 % substitution of the CEM II binder using a mix of recycled glass powder and concrete fines. The second targets the formulation of concrete for five exposure classes, exceeding the regulatory limit of 50 % recycled aggregates while meeting all performance criteria. Besides finding new concrete mixes with a higher percentage of recycling materials in their composition, these demonstration cases aim also to spread the use of SLAMD as a tool for industry stakeholders. In collaboration with the industrial partner Holcim (Germany) GmbH, SLAMD accelerated the development process of concrete with high carbonation resistance by a factor of 80 %. This success was further enhanced by incorporating NMR features from non-carbonated sister samples at only 28 days of age, revealing additional acceleration potential [2]. Currently, the integration of non-destructive testing methods, such as Laser-Induced Breakdown Spectroscopy, is being explored to further shorten development cycles. Another example is the use of SLAMD within the Volkswagen Foundation-funded project "Circular B-IO," where it is adapted and applied to optimize the heterogeneous material flow of recycled substances. By creating homogenized supply streams, SLAMD contributes to the reliable production of low-carbon concrete in Kenya, enabling more sustainable construction practices. Looking ahead, SLAMD may be used to address a wide range of material-related challenges. Through its ability to navigate complex datasets and identify promising solutions efficiently, it opens new opportunities for advancing material design, accelerating innovation, and promoting sustainability. T2 - MaterialsWeek 2025 CY - Frankfurt am Main, Germany DA - 02.04.2025 KW - SLAMD KW - Carbonation resistance KW - REINCARNATE KW - Nuclear magentic resonance KW - Circular B-IO PY - 2025 AN - OPUS4-62990 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Kruschwitz, Sabine A1 - Munsch, Sarah Mandy T1 - Towards Sustainable Cement Compositions: Exploring the Effects of Clinker Substitutes with NMR and Induced Polarization N2 - The reduction of clinker content in cement is a key strategy to lower the CO₂ footprint of the cement industry. In the recently approved composite cements of class CEM II, a significant portion of the clinker (up to 50%) can already be replaced. A promising option in this context is the so-called LC³ (Limestone Calcined Clay Cement), which offers exciting alternatives especially for countries with large clay deposits. To ensure the performance and durability of such binders, understanding hydration processes and the role of the used supplementary cementitious materials (SCMs) is crucial. The authors present findings from two independent studies: a master thesis and a round-robin experiment conducted within a RILEM Technical Committee. Both studies investigate cementitious materials incorporating SCMs using advanced characterization techniques. The master thesis focuses on early hydration processes during the first 100 hours using Nuclear Magnetic Resonance relaxometry (NMR), providing detailed insights into microstructural development, hydrogen bonding, and water mobility. In contrast, the round-robin experiment explores hydration and durability over a longer timeframe of 3 to 91 days using induced polarization (IP) to study bulk conductivity and its changes with age. For all investigated mixtures—including pure Ordinary Portland (CEMI), Portland Limestone Cement (CEM II) including blends with calcined clay and fly ash—heat flow calorimetry serves as a reference method to monitor hydration progress during the early stages. This approach allows a comprehensive understanding of the effects of SCMs on hydration, combining short-term and long-term perspectives while leveraging complementary techniques. Preliminary results demonstrate a significant increase in NMR T₂ relaxation times with the addition of fly ash, accompanied by a strong reduction in the free water component. Concurrently, early IP measurements reveal a steady increase in impedance with sample age, particularly pronounced in mixtures containing calcined clay. These findings underline the potential of NMR and IP to evaluate hydration and durability-related properties in cementitious systems with reduced clinker content. T2 - 85. Jahrestagung der Deutschen Geophysikalischen Gesellschaft CY - Bochum, Germany DA - 24.02.2025 KW - Nuclear magnetic resonance KW - Induced polarization KW - Supplementary cementitious materials PY - 2025 AN - OPUS4-62989 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Wosniok, Aleksander T1 - Auftakttreffen FOSsure „ Faseroptische Sensoren zur sicheren Zustandsbewertung von Massivbrücken“ N2 - Vorstellung der Vorarbeiten und Kernkompetenzen des Fachbereiches 8.6 hinsichtlich der Zustandsüberwachung von Brückenbauwerken im Rahmen eines Auftakttreffens im Forschungsprojekt FOSsure. T2 - Kick-off-Treffen FOSsure CY - Dresden, Germany DA - 16.04.2025 KW - DFOS KW - faseroptische Sensoren KW - Brückenmonitoring KW - Ortverteilte akustische Sensorik KW - COTDR PY - 2025 AN - OPUS4-62975 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Bruno, Giovanni T1 - X-Ray absorption, refraction, and diffraction techniques for the characterization and non-destructive testing of materials N2 - The combination of tomographic, microstructural data with other experimental techniques and with modeling is paramount, if we want to extract the maximum amount of information on material and component properties. In particular, quantitative image analysis, statistical approaches, direct discretization of tomographic reconstructions represent concrete possibilities to extend the power of the tomographic 3D representation to insights into the material and component performance. This logic thread equally holds for industrial and academic research and valorizes expensive experiments such as those carried out at synchrotron sources, which cannot be daily repeated. I will show a few examples of possible use of X-ray tomographic data for quantitative assessment of damage evolution and microstructural properties, as well as for non-destructive testing. Examples of micro-structured inhomogeneous materials will be given, such as Composites, Ceramics, Concrete, and Additively manufactured parts. I will also show how X-ray refraction computed tomography (CT) can be highly complementary to classic absorption CT, being sensitive to internal interfaces. Additionally, I will show how Neutron Diffraction, which is extremely well suited to the study of internal stresses, both residual and under external load, can well be coupled to the microstructural framework gained by CT, allowing understanding the microstructure-property relationships in materials. T2 - VDI FA101- Anwendungsnahe zerstörungsfreie Werkstoff und Bauteilprüfung Jährliches Treffen CY - Berlin, Germany DA - 10.04.2025 KW - Neutron Diffraction KW - X-ray computed tomography KW - Large Scale Facilities KW - X-ray refraction radiography KW - BAMline PY - 2025 AN - OPUS4-62939 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Terhedebrügge, Gabriel A1 - Prager, Jens T1 - How can SHM be applied in a quality assured and legally compliant manner? T1 - Wie kann SHM qualitätssicher und rechtssicher angewendet werden? N2 - Many SHM applications developed at universities and research institutions have not yet left the laboratory scale. Possible reasons for this include: - Real components and structures are often more complex than expected, - The POD (probability of detection) of the SHM system is usually difficult to determine, - The reliability of SHM systems is often unsatisfactory, and - The transition from recurring inspection to permanent monitoring with automated SHM systems fails due to existing safety regulations and testing standards. The workshop addresses these issues and aims to present solutions that facilitate the practical use of SHM. The solutions will be developed using real-world applications, such as those in the field of renewable energy. N2 - Viele SHM-Anwendungen, die an den Universitäten und Forschungseinrichtungen entwickelt wurden, haben den Labormaßstab noch nicht verlassen. Mögliche Gründe dafür sind, - dass reale Bauteile und Strukturen häufig komplexer sind als erwartet, - die POD (probability of detection) des SHM-Systems zumeist schwer bestimmbar ist, - die Zuverlässigkeit der SHM-Systeme oft nicht zufriedenstellend ist und - der Übergang von wiederkehrender Prüfung zur permanenter Überwachung mit automatisierten SHM-Systemen an vorhandenen Sicherheitsrichtlinien und Prüfvorschriften scheitert. Der Workshop greift diese Fragestellungen auf und soll Lösungsansätze aufzeigen, die den Einsatz von SHM in der Praxis erleichtern. Die Lösungen werden beispielhaft für reale Anwendungen, z.B. aus dem Bereich der erneuerbaren Energien, erarbeitet. T2 - SCHALL 25 CY - Dresden, Germany DA - 28.03.2025 KW - SHM KW - Legal aspects KW - Pressure vessels KW - SMART-tools KW - QI-Digital KW - Periodic inspection PY - 2025 AN - OPUS4-62909 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Weller, Michael G. T1 - Drone-Based Localization of Hazardous Chemicals by Passive Smart Dust N2 - Rapid detection and localization of hazardous chemicals is crucial for environmental monitoring, occupational safety, and emergency response. This study presents a novel approach that combines drone technology with passive smart dust – biodegradable, paper-based chemical sensors – to remotely identify and map hazardous substances. In contrast to conventional smart dust concepts based on electronic microsensors with significant limitations in power supply, cost and environmental impact, this method uses cellulose-based, confetti-like sensors impregnated with colorimetric or fluorescent indicators. These sensors change color in response to chemical exposure, enabling simple optical detection from a distance. A drone equipped with a conventional digital camera takes pictures of the deployed sensors, which are then analyzed by automated image processing. The system converts images from the red-green-blue color model (RGB) into hue-saturation-value space (HSV) and applies threshold filters and clustering algorithms to increase the accuracy of identifying hazardous zones. Field tests using thymol blue as a pH-sensitive indicator have successfully demonstrated the system's ability to detect and locate acid spills in an outdoor environment. The results confirmed that low-cost, off-the-shelf drones can effectively monitor affected areas by providing real-time data for responders while minimizing human exposure to hazardous chemicals. This approach offers a fast, scalable, cost-effective and environmentally friendly alternative to conventional hazard detection technologies. Other important advantages are the close proximity of the sensors to the contamination, the avoidance of downwash problems by the drone propellers and the generation of a dense mesh of data points. Since no complex electronic sensors are required and simple, biodegradable materials are used, the system is well suited for large-scale deployment in industrial accidents, environmental pollution and chemical disaster scenarios. Future research will investigate additional chemical indicators to expand detection capabilities, optimize sensor deployment, and refine data processing for greater accuracy. The passive smart dust system represents a new concept in remote chemical hazard monitoring and may have broad implications for accident response, environmental crime, facility security, and attacks with chemical weapons. N2 - Die schnelle Erkennung und Lokalisierung gefährlicher Chemikalien ist für die Umweltüberwachung, den Arbeitsschutz und den Katastrophenschutz von entscheidender Bedeutung. Diese Studie stellt einen neuartigen Ansatz vor, der Drohnen-Technologie mit Passivem Smart Dust – biologisch abbaubaren, papierbasierten chemischen Sensoren – kombiniert, um gefährliche Substanzen aus der Ferne zu identifizieren und zu kartieren. Im Gegensatz zu herkömmlichen Smart-Dust-Konzepten, die auf elektronischen Mikrosensoren mit erheblichen Einschränkungen bei der Stromversorgung, den Kosten und der Umweltbelastung basieren, verwendet diese Methode zellulosebasierte, konfetti-artige Sensoren, die mit kolorimetrischen oder fluoreszierenden Indikatoren imprägniert sind. Diese Sensoren ändern ihre Farbe bei Kontakt mit Chemikalien, sodass eine einfache optische Erkennung aus der Ferne möglich ist. Eine Drohne, die mit einer herkömmlichen Digitalkamera ausgestattet ist, nimmt Bilder der eingesetzten Sensoren auf, die dann durch automatisierte Bildverarbeitung analysiert werden. Das System konvertiert Bilder vom Rot-Grün-Blau-Farbmodell (RGB) in den Farbton-Sättigungs-Wert-Raum (HSV) und wendet Schwellenwertfilter und Clustering-Algorithmen an, um die Genauigkeit bei der Identifizierung gefährlicher Zonen zu erhöhen. Feldtests mit Thymolblau als pH-empfindlichem Indikator haben erfolgreich die Fähigkeit des Systems nachgewiesen, ausgelaufene Säure in Außenbereichen zu erkennen und zu lokalisieren. Die Ergebnisse bestätigen, dass kostengünstige, handelsübliche Drohnen betroffene Bereiche effektiv überwachen können, indem sie Einsatzkräften Echtzeitdaten liefern und gleichzeitig die Exposition von Menschen gegenüber gefährlichen Chemikalien minimieren. Dieser Ansatz bietet eine schnelle, skalierbare, kostengünstige und umweltfreundliche Alternative zu herkömmlichen Technologien zur Gefahrenerkennung. Weitere wichtige Vorteile sind die räumliche Nähe der Sensoren zur Kontamination, die Vermeidung von Abwindproblemen durch die Drohnenpropeller und die Erzeugung eines dichten Netzes von Datenpunkten. Da keine komplexen elektronischen Sensoren erforderlich sind und einfache, biologisch abbaubare Materialien verwendet werden, eignet sich das System gut für den großflächigen Einsatz bei Industrieunfällen, Umweltverschmutzung und chemischen Katastrophenszenarien. In zukünftigen Forschungsarbeiten sollen weitere chemische Indikatoren untersucht werden, um die Erkennungsmöglichkeiten zu erweitern, den Sensoreinsatz zu optimieren und die Datenverarbeitung für eine höhere Genauigkeit zu verfeinern. Das passive Smart-Dust-System stellt ein neues Konzept für die Fernüberwachung chemischer Gefahren dar und könnte weitreichende Auswirkungen auf die Unfallbekämpfung, Umweltkriminalität, Anlagensicherheit und Angriffe mit Chemiewaffen haben. T2 - 39th Session of the Scientific Advisory Board of the OPCW CY - The Hague, Netherlands DA - 01.04.2025 KW - Imaging KW - Remote Sensing KW - Chemosensors KW - Organization for the Prohibition of Chemical Weapons (OPCW) KW - CBRN Defence PY - 2025 AN - OPUS4-62897 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Bruno, Giovanni T1 - How 3D X-ray Imaging and Residual Stress Analysis contribute to safety of materials and structures N2 - The safety of materials and structures can be detrimentally influenced by residual stresses (RS) and defect populations (voids or other features leading to failure) if they are not correctly accounted for in the design. Therefore, the accurate characterization of these features and the consideration of their impact is crucial for the safe design of components. The ability to characterize these features non-destructively enables the direct correlation on resulting mechanical performance. 3D X-ray computed tomography (XCT) is used to resolve and quantitively analyze microstructural features (i.e., voids, porosity). This is often used to assess the capability of the manufacturing route, i.e., additive manufacturing (AM). The non-destructive nature of the method also enables the study of the evolution of damage in materials from such microstructural features [1]. Using in-situ methods such as compression or tension, the propagation of damage from initial microstructure can be assessed, aiding our understanding of which features are detrimental to safety [3]. Diffraction based residual stress analysis methods including high energy X-ray and neutron diffraction can be used to study the residual stress gradients from the surface, subsurface and into the bulk non-destructively. These methods can be used to study the influence of heat treatments on residual stress and can be combined with XCT results to correlate the interaction of residual stresses with microstructural features (i.e., void clusters). This talk will give an overview of the capabilities and opportunities of 3D XCT and diffraction based residual stress analysis to close the gap in our understanding of material degradation on mechanical performance, enabling manufacturers to adjust their designs accordingly for safety critical applications. A particular focus will be made on examples where the two advanced techniques are combined to enhance such understanding. T2 - MaterialsWeek 2025 CY - Frankfurt am Main, Germany DA - 02.04.2025 KW - Neutron Diffraction KW - Residual Stress KW - X-ray Computed Tomography KW - Additive Manufacturing KW - Large Scale facilites KW - Creep KW - Defects KW - BAMline PY - 2025 AN - OPUS4-62895 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -