TY - CONF A1 - Beilken, D. A1 - Rühe, S. A1 - Heckel, Thomas A1 - Casperson, Ralf T1 - Aktuelle Entwicklungen der Wirbelstrom- und Ultraschallprüfung an verlegten Eisenbahnschienen N2 - Die kombinierte Schienenprüfung mit Wirbelstrom und Ultraschall ermöglicht eine ganzheitliche Detektion von Inhomogenitäten im Kopf und Steg der Schiene und gewährleistet das Auffinden sowohl von Volumen-als auch Oberflächeneffekten wie z. B. Head Checks. Für die verbesserte Detektion von Rollkontaktermüdung (rolling contact fatique, RCF) und den daraus resultierenden Schienenfehlern (Head-Checks, Squats, Riffel, …) wurde für die Wirbelstromprüfung der Prüfbereich auf die gesamte Rollkontaktfläche erweitert. Der Fokus liegt im Neudesign der Wirbelstrom-Prüfvorrichtung und der damit verbundenen normgerechten Auslegung der Konstruktion für die fahrzeugspezifischen Gegebenheiten. Ferner wurde die Anwendersoftware des kombinierten Prüfsystems vereinheitlicht. Um die wirtschaftliche Effektivität unsere Prüftechnik zu steigern, wird die Multiplex-Gerätetechnologie in die automatisierte Schienenprüfung eingeführt. Damit wird der freizuhaltende Einbauraum innerhalb der Fahrzeuge sowie Kabelwege deutlich reduziert. Durch den Übergang zu der Multiplextechnologie wurde weiterhin die Stromaufnahme um mehr als 50% reduziert. T2 - DGZfP DACH Tagung 2019 CY - Friedrichshafen, Germany DA - 27.05.2019 KW - Schienenprüfung KW - Zerstörungsfreie Prüfung KW - Ultraschall KW - Wirbelstrom PY - 2019 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-496775 VL - 2019 SP - 1 EP - 10 AN - OPUS4-49677 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Camplese, Davide A1 - Scarponi, Giordano Emrys A1 - Chianese, Carmela A1 - Hajhariri, Aliasghar A1 - Eberwein, Robert A1 - Otremba, Frank A1 - Cozzani, Valerio T1 - Modeling the performance of multilayer insulation in cryogenic tanks undergoing external fire scenarios N2 - Multilayer Insulation (MLI) is frequently used in vacuum conditions for the thermal insulation of cryogenic storage tanks. The severe consequences of the degradation of such materials in engulfing fire scenarios were recently evidenced by several large-scale experimental tests. In the present study, an innovative modelling approach was developed to assess the performance of heat transfer in polyester-based MLI materials for cryogenic applications under fire conditions. A specific layer-by-layer approach was integrated with an apparent kinetic thermal degradation model based on thermogravimetric analysis results. The modeling results provided a realistic simulation of the experimental data obtained by High-Temperature Thermal Vacuum Chamber tests reproducing fire exposure conditions. The model was then applied to assess the behavior of MLI systems for liquid hydrogen tanks in realistic fire scenarios. The results show that in intense fire scenarios degradation occurs rapidly, compromising the thermal insulation performances of the system within a few minutes. KW - Multilayer Insulation KW - Cryogenic Vessels KW - Liquefied Hydrogen KW - Liquefied Natural Gas KW - Safety KW - Fire PY - 2024 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-599418 DO - https://doi.org/10.1016/j.psep.2024.04.061 SN - 0957-5820 VL - 186 SP - 1169 EP - 1182 PB - Elsevier B.V. AN - OPUS4-59941 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - RPRT A1 - Taghavi Kalajahi, Sara A1 - Misra, Archismita A1 - Koerdt, Andrea T1 - Nanotechnology to mitigate microbiologically influenced corrosion (MIC) N2 - Microbiologically influenced corrosion (MIC) is a crucial issue for industry and infrastructure. Biofilms are known to form on different kinds of surfaces such as metal, concrete, and medical equipment. However, in some cases the effect of microorganisms on the material can be negative for the consistency and integrity of the material. Thus, to overcome the issues raised by MIC on a system, different physical, chemical, and biological strategies have been considered; all having their own advantages, limitations, and sometimes even unwanted disadvantages. Among all the methods, biocide treatments and antifouling coatings are more common for controlling MIC, though they face some challenges. They lack specificity for MIC microorganisms, leading to cross-resistance and requiring higher concentrations. Moreover, they pose environmental risks and harm non-target organisms. Hence, the demand for eco-friendly, long-term solutions is increasing as regulations tighten. Recently, attentions have been directed to the application of nanomaterials to mitigate or control MIC due to their significant antimicrobial efficiency and their potential for lower environmental risk compared to the conventional biocides or coatings. Use of nanomaterials to inhibit MIC is very new and there is a lack of literature review on this topic. To address this issue, we present a review of the nanomaterials examined as a biocide or in a form of a coating on a surface to mitigate MIC. This review will help consolidate the existing knowledge and research on the use of nanomaterials for MIC mitigation. It will further contribute to a better understanding of the potential applications and challenges associated with using nanomaterials for MIC prevention and control. KW - Microbiologically influenced corrosion (MIC) KW - Biofilm KW - Biofouling KW - Nanobiocide KW - Nanocoating PY - 2024 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-599335 DO - https://doi.org/10.3389/fnano.2024.1340352 VL - 6 SP - 1 EP - 25 AN - OPUS4-59933 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Dittmar, Stefan A1 - Ruhl, Aki S. A1 - Altmann, Korinna A1 - Jekel, Martin T1 - Settling Velocities of Small Microplastic Fragments and Fibers N2 - There is only sparse empirical data on the settling velocity of small, non-buoyant microplastics thus far, although it is an important parameter governing their vertical transport within aquatic environments. This study reports the settling velocities of 4031 exemplary microplastic particles. Focusing on the environmentally most prevalent particle shapes, irregular microplastic fragments of four different polymer types (9–289 µm) as well as five discrete length fractions (50–600 µm) of common nylon and polyester fibers were investigated, respectively. All settling experiments were carried out in quiescent water using a specialized optical imaging setup. The method has been previously validated in order to minimize disruptive factors, e.g. thermal convection or particle interactions, and thus enable the precise measurements of the velocities of individual microplastic particles (0.003–9.094 mm/s). Based on the obtained data, ten existing models for predicting a particle’s terminal settling velocity were assessed. It is concluded that models, which were specifically deduced from empirical data on larger microplastics, fail to provide accurate predictions for small microplastics. Instead, a different approach is highlighted as a viable option for computing settling velocities across the microplastics continuum in terms of size, density and shape. KW - Microplastics KW - Microplastic fibers KW - Settling velocity KW - Sinking velocity KW - Sedimentation PY - 2024 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-597455 DO - https://doi.org/10.1021/acs.est.3c09602 SN - 0013-936X VL - 58 IS - 14 SP - 6359 EP - 6369 PB - American Chemical Society (ACS) AN - OPUS4-59745 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Mustapha, S. A1 - Yilmaz, Bengisu A1 - Heimann, Jan A1 - Brence, Blaz A1 - Prager, Jens T1 - Guided Waves Propagation in Composite Overwrapped Pressure Vessel N2 - The application of composite overwrapped pressure vessels (COPV) to store hydrogen and other compressed gases, especially when operating at high pressures, imposed the need for an innovative and reliable approach to ensure the safe operation of the system. Continuous structural health monitoring (SHM) based on ultrasonic guided waves (GWs) is a promising approach due to the ability of the wave to propagate for long distances and go around complex structures, moreover the high sensitivity to various failure modes such as delamination, matrix cracking and debonding. In this study, we scrutinize the behavior of (GWs) within the COPV using a network of PZT elements that are used for excitation and sensing. A laser doppler vibrometer (LDV) was also used to scan the surface of the vessel in various directions. L(0,1) and L(0,2) were observed in the captured signal. The L(0, 2) appeared to be a dominant mode in the COPV and was capable of propagating along the entire length and maintaining a good signal-to-noise ratio. The L(0,2) mode maintained the same phase velocity when it is captured at various excitation angles (0, 45, and 90 degrees). The reduced effect of the orthotropy of the materials on the propagating waves is an important result as it will reduce the complexity in data processing when performing damage identification. T2 - 13th. European Conference on Non-Destructive Testing (ECNDT) CY - Lisbon, Portugal DA - 03.07.2023 KW - Composite Overwrapped Pressure Vessels KW - Guided Waves KW - Laser Doppler Vibrometer KW - Structural Health Monitoring KW - Sensors Placement PY - 2023 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-591081 DO - https://doi.org/10.58286/28068 SN - 2941-4989 VL - 1 IS - 1 SP - 1 EP - 6 PB - NDT.net CY - Mayen AN - OPUS4-59108 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Charmi, Amir A1 - Mustapha, Samir A1 - Yilmaz, Bengisu A1 - Heimann, Jan A1 - Prager, Jens T1 - A Machine Learning Based-Guided Wave Approach for Damage Detection and Assessment in Composite Overwrapped Pressure Vessels N2 - The applications of composite overwrapped pressure vessels (COPVs) in extreme conditions, such as storing hydrogen gases at very high pressure, impose new requirements related to the system's integrity and safety. The development of a structural health monitoring (SHM) system that allows for continuous monitoring of the COPVs provides rich information about the structural integrity of the component. Furthermore, the collected data can be used for different purposes such as increasing the periodic inspection intervals, providing a remaining lifetime prognosis, and also ensuring optimal operating conditions. Ultimately this information can be complementary to the development of the envisioned digital twin of the monitored COPVs. Guided waves (GWs) are preferred to be used in continuous SHM given their ability to travel in complex structures for long distances. However, obtained GW signals are complex and require advanced processing techniques. Machine learning (ML) is increasingly utilized as the main part of the processing pipeline to automatically detect anomalies in the system's integrity. Hence, in this study, we are scrutinizing the potential of using ML to provide continuous monitoring of COPVs based on ultrasonic GW data. Data is collected from a network of sensors consisting of fifteen Piezoelectric (PZT) wafers that were surface mounted on the COPV. Two ML algorithms are used in the automated evaluation procedure (i) a long short-term memory (LSTM) autoencoder for anomaly detection (defects/impact), and (ii) a convolutional neural network (CNN) model for feature extraction and classification of the artificial damage sizes and locations. Additional data augmentation steps are introduced such as modification and addition of random noise to original signals to enhance the model's robustness to uncertainties. Overall, it was shown that the ML algorithms used were able to detect and classify the simulated damage with high accuracy. T2 - 13th European Conference on Non-Destructive Testing (ECNDT) 2023 CY - Lisbon, Portugal DA - 03.07.2023 KW - Machine learning KW - Structural health monitoring KW - COPV KW - Guided waves KW - Damage localization PY - 2023 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-590789 DO - https://doi.org/10.58286/28079 SN - 2941-4989 VL - 1 IS - 1 SP - 1 EP - 6 PB - NDT.net CY - Mayen AN - OPUS4-59078 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Friedrich, Alexander T1 - Simulation of Eddy Current Rail Testing Data for Neural Networks N2 - The present work is part of the AIFRI project (Artificial Intelligence For Rail Inspection), where we and our project partners train a neural network for defect detection and classification. Our goal at BAM is to generate artificial ultrasound and eddy current training data for the A.I. This paper has an exploratory nature, where we focus on the simulation of eddy current signals for head check cracks, one of the most important rail surface defects. The goal of this paper is twofold. On the one hand, we present our general simulation setup. This includes geometric models for head check cracks with features like branching and direction change, a model for the HC10 rail testing probe, and the configuration of the Faraday simulation software. On the other hand, we use the Faraday software to simulate eddy current testing signals with a strong focus on the influence of the damage depth on the signal, while differentiating between different crack geometries. Here, we observe an early saturation effect of the test signal at a damage depth of 2 mm (at a crack angle of 25◦ to the surface). That is about 2 mm earlier than we would expect from measurements at a crack angle of 90◦. This behavior will be investigated further in a future paper. Finally, we interpolate the simulated signals in a two-step curve fitting process. With these interpolations we may generate eddy current test signals for any damage depth within the simulated range. T2 - 13th European Conference on Non-Destructive Testing 2023 CY - Lisbon, Portugal KW - Artificial Intelligence KW - Simulation KW - Eddy Current PY - 2023 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-581918 DO - https://doi.org/10.58286/28179 SN - 1435-4934 VL - 28 IS - 8 SP - 1 EP - 6 PB - NDT.net CY - Kirchwald AN - OPUS4-58191 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Yilmaz, Bengisu A1 - Heimann, Jan A1 - Mustapha, S. A1 - Charmi, Amir A1 - Prager, Jens T1 - Guided wave ultrasonic feature determination in Type IV composite overwrapped pressure vessels towards the digital twin N2 - The digitalization of quality control processes and the underlying data infrastructures for safety relevant components, such as hydrogen pressure vessels, plays a significant role in the transition towards Industry 4.0. In the current safety regulations for hydrogen pressure vessels, there is no established concept for structural health monitoring. The development of a reliable structural health monitoring methodology for monitoring the structural integrity of pressure vessels enables a fast-forward transition from personnel- and costintensive recurring inspections, a.k.a. periodic maintenance, to predictive maintenance. In the work presented; we investigated the application of ultrasonic guided wave propagation to monitor and assess the condition of Type IV composite overwrapped pressure vessel (COPV). A sensor network of fifteen piezo-electric wafers is placed on the carbon fibre reinforced composite cylinder. Five different artificial damage configurations are created by gluing two different weight blocks on three different locations. The database containing measured guided wave data sets is enriched by two different boundary conditions. We utilized an open-source software, openBIS labnotebook, to store and analyse experimental datasets. The guided wave ultrasonic signals were investigated and analysed by using commonly used ultrasonic features (e.g., amplitude, frequency, time of flight) as well as non-traditional time-series features (kurtosis, skewness, variance). The features were used to calculate damage index and the detection performance for the results has been evaluated. The results suggest that both traditional and non-traditional features assume significant importance in artificial damage detection. The future works will additionally involve the impacts of operational conditions, such as periodic pressure variations temperature loadings as well as material degradations. T2 - 13th European Conference on Non-Destructive Testing (ECNDT) CY - Lisbon, Portugal DA - 03.07.2023 KW - Industry 4.0 KW - Composite overwrapped pressure vessels KW - Structural health monitoring KW - Ultrasonic guided waves KW - Predictive maintenance PY - 2023 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-591094 DO - https://doi.org/10.58286/28072 SN - 2941-4989 VL - 1 IS - 1 SP - 1 EP - 6 PB - NDT.net CY - Mayen AN - OPUS4-59109 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Casperson, Ralf A1 - Friedrich, Alexander A1 - Heckel, Thomas A1 - Zhang, Tianyun T1 - Verwendung von DICONDE bei der Eisenbahn-Schienenprüfung N2 - Bei der zerstörungsfreien Prüfung verlegter Eisenbahnschienen werden die Rohdaten derzeit in proprietären Datenformaten gespeichert und auf Datenträgern zwischen den Prüfzügen und den auswertenden Stellen versendet. Die proprietären Datenformate sind in der Regel nur den Herstellern der Prüfsysteme bekannt und deren Dokumentation nicht allgemein zugänglich. Die „Standard Practice for Digital Imaging and Communication in Nondestructive Evaluation“ (DICONDE), basierend auf dem medizinischen Standard „Digital Imaging and Communication in Medicine“ (DICOM), ermöglicht es, sowohl Prüfdaten als auch Prüfergebnisse und Streckeninformationen in einem standardisierten Format zu speichern und zwischen verschiedenen Endpunkten zu übertragen. Das Poster gibt zunächst einen kurzen Überblick über die hierarchische Struktur von DICONDE und zeigt dann, wie DICONDE bei der Prüfung verlegter Eisenbahnschienen verwendet werden kann. Die geometrischen Besonderheiten (mehrere Kilometer Länge pro Prüffahrt, kurviger Streckenverlauf) stellen dabei eine besondere Herausforderung dar. Im Rahmen des mFUND-geförderten Projektes „Arteficial Intelligence for Railway Inspection (AIFRI)“, Förderkennzeichen 19FS2014C, wurde ein Vorschlag für eine Erweiterung des DICONDE-Standards für die Schienenprüfung erarbeitet und bei der ASTM eingereicht. T2 - DGZfP Jahrestagung 2024 CY - Osnabrück, Germany DA - 05.05.2024 KW - DICONDE KW - Eisenbahn KW - Schienenprüfung PY - 2024 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-600204 DO - https://doi.org/10.58286/29500 SP - 1 EP - 5 PB - NDT.net AN - OPUS4-60020 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Simon, Franz-Georg A1 - Holm, Olaf T1 - Exergetische Bewertung von Rohstoffen am Beispiel von Kupfer T1 - Exergetic assessment of raw materials using the example of copper N2 - Für die Herstellung von Kupfer aus Primär- und Sekundärressourcen wurde eine Exergieanalyse der Aufbereitungs- und Gewinnungsverfahren durchgeführt. Für die Stoffgemische Kupfererz, Kupferkonzentrat und Hausmüllverbrennungsasche wurden die Exergien tabellarisch berechnet. Die Exergieaufwände der technischen Prozesse zur Kupferherstellung wurden mit den thermodynamisch minimal notwendigen Aufwänden verglichen. Die Nutzung von Sekundärrohstoffen aus Abfällen ist über weite Bereiche vorteilhaft, insb. wenn das Kupfer bereits in der metallischen Form vorliegt. KW - Exergie KW - Hausmüllverbrennungsasche KW - Hydrometallurgie KW - Pyrometallurgie KW - Kumulierter Exergieaufwand PY - 2017 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-390496 UR - http://onlinelibrary.wiley.com/doi/10.1002/cite.201600089/epdf DO - https://doi.org/10.1002/cite.201600089 SN - 1522-2640 SN - 0009-286X VL - 89 IS - 1-2, SI SP - 108 EP - 116 PB - Wiley VCH Verlag CY - Weinheim AN - OPUS4-39049 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -