TY - CONF A1 - Bernardy, Christopher A1 - Konert, Florian A1 - Popiela, Bartosz A1 - Sarif, Raduan T1 - H2Safety@BAM: Competence Center for safe hydrogen technologies N2 - Presentation of the competence center H2Safety@BAM at the European PhD Hydrogen Conference 2024 in Ghent, Belgium. T2 - European PhD Hydrogen Conference 2024 (EPHyC2024) CY - Ghent, Belgium DA - 20.03.2024 KW - H2safety KW - Hydrogen KW - Safety KW - Competence center PY - 2024 AN - OPUS4-59756 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Bühling, Benjamin A1 - Maack, Stefan T1 - Improving onset picking in ultrasonic testing by using a spectral entropy criterion N2 - In ultrasonic testing, material and structural properties of a specimen can be derived from the time-of-flight (ToF). Using signal features, such as the first peak or envelope maximum, to calculate the ToF is error-prone in multipath arrangements or dispersive and attenuating materials, which is not the case for the signal onset. Borrowing from seismology, researchers used the Akaike information criterion (AIC) picker to automatically determine onset times. The most commonly used formulation, Maeda's AIC picker, is reassessed and found to be based on inappropriate assumptions for signals often used in ultrasonic testing and dependent on arbitrary parameters. Consequently, an onset picker for ultrasonic through-transmission measurements is proposed, based on a spectral entropy criterion (SEC) to model the signal using the AIC framework. This SEC picker takes into account the spectral properties of the ultrasonic signal and is virtually free of arbitrary parameters. Synthetic and experimental data are used to compare the performance of SEC and AIC pickers. It is shown that the accuracy of onset picking is improved for densely sampled data. KW - Akaike information criterion picker KW - Nondestructive testing KW - Ultrasound KW - Time of flight PY - 2024 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-594284 UR - https://pubs.aip.org/asa/jasa/article/155/1/544/3061576/Improving-onset-picking-in-ultrasonic-testing-by DO - https://doi.org/10.1121/10.0024337 SN - 0001-4966 VL - 155 IS - 1 SP - 544 EP - 554 PB - AIP Publishing CY - Melville, NY, USA AN - OPUS4-59428 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Heimann, Jan A1 - Yilmaz, Bengisu A1 - Charmi, Amir A1 - Duffner, Eric A1 - Schukar, Marcus A1 - Prager, Jens T1 - Structural Health Monitoring (SHM) for continuous monitoring of hydrogen pressure vessels N2 - While hydrogen is one of the most promising energy carriers, the safety of hydrogen storage technology remains one of the most important factors for technological and societal approval. While the engineering safety factors of the pressure vessels are kept high, the periodic inspection and the limited lifetime are making the application very costly considering manpower, time, money, and material waste. The development of an integrated structural health monitoring system can allow an easy transition from the current situation to cost-effective predictive maintenance. Hence, we propose to integrate three different SHM systems into hydrogen pressure vessels, namely guided wave ultrasonics, acoustic emission, and fibre optic sensing, to continuously monitor the condition and integrity. In this work, we evaluated the condition of a Type IV composite overwrapped pressure vessel using ultrasonic guided wave propagation. We mounted fifteen piezo-electric wafers on the composite cylinder by shaping three rings containing five sensors each. We acquired data from the sensor network following different boundary conditions with artificial damages on the selected locations. The data were evaluated with guided wave tomography techniques using ultrasonic features (amplitude, frequency, etc.) as well as artificial intelligence (AI). The results suggest that both traditional guided wave fusion techniques and AI-based characterization methods can detect artificial damages. In future work, it is planned to integrate acoustic emission and fibre optic sensing. Moreover, the measurement and the test results will be implemented into a digital twin to derive trends and make predictions on the damage propagation as well as the remaining useful lifetime. This work has received funding from German Ministry of Economic Affairs and Climate Actions within the QI-Digital initiative (www.qi-digital.de). T2 - SCHALL 23 CY - Wetzlar, Germany DA - 21.03.2023 KW - Structural Health Monitoring KW - Ultrasonic Guided Waves KW - Composite Overwrapped Pressure Vessel KW - Hydrogen PY - 2023 AN - OPUS4-58026 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - John, Sebastian A1 - Duffner, Eric A1 - Mair, Georg A1 - Moosavi, Robabeh A1 - Auster, Jürgen T1 - Delfin - Statusbericht zum 4.HJM N2 - Präsentation über den Fortschritt der BAM zum Vorhaben Delfin, welches sich mit der Entwicklung und Schädigungsneigung von Composite-Wasserstoffbehältern für den Anwendungsfall KFZ beschäftigt T2 - 4. Halbjahresmeeting zum Vorhaben Delfin CY - Online meeting DA - 21.10.2020 KW - Wasserstoff KW - Impact KW - Druckbehälter PY - 2020 AN - OPUS4-51495 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - John, Sebastian A1 - Auster, Jürgen A1 - Widjaja, Martinus Putra A1 - Duffner, Eric A1 - Mair, Georg T1 - Current results of the DELFIN project N2 - As a contribution to the national hydrogen strategy, 3.5 years ago, the Delfin research project started with the aim of developing a cost- and material-optimized hydrogen tank design for automotive application. Under the patronage of the National Organization Hydrogen and Fuel Cell Technology (NOW), a consortium consisting of 9 research institutes, component suppliers, engineering service providers and automobile OEMs is processing a wide range of work packages. The focus of BAM research sets on impact testing and safety-related characterization of pressure vessels of different development stages. Furthermore, the implementation of nondestructive testing methods is applied. The presentation shows an overview of the BAM work packages and an extraction of the results generated so far. T2 - Wasserstoffkolloquium des Kompetenzzentrums H2Safety@BAM CY - Online meeting DA - 16.02.2022 KW - Delfin KW - Wasserstoff KW - Druckbehälter KW - Impact PY - 2022 AN - OPUS4-55348 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - John, Sebastian A1 - Jürgen, Auster A1 - Widjaja, Martinus Putra A1 - Duffner, Eric A1 - Mair, Georg T1 - Vorstellung NIP II FORSCHUNGSVORHABEN DELFIN N2 - As a contribution to the national hydrogen strategy, 3.5 years ago, the Delfin research project started with the aim of developing a cost- and material-optimized hydrogen tank design for automotive application. Under the patronage of the National Organization Hydrogen and Fuel Cell Technology (NOW), a consortium consisting of 9 research institutes, component suppliers, engineering service providers and automobile OEMs is processing a wide range of work packages. The focus of BAM research sets on impact testing and safety-related characterization of pressure vessels of different development stages. Furthermore, the implementation of nondestructive testing methods is applied. The presentation shows an overview of the BAM work packages and an extraction of the results generated so far. T2 - SAMPE Feierabendkolloqium CY - Online meeting DA - 15.06.2022 KW - Delfin KW - Wasserstoff KW - Druckbehälter KW - Impact PY - 2022 AN - OPUS4-55349 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - John, Sebastian A1 - Auster, Jürgen A1 - Widjaja, Martinus A1 - Duffner, Eric A1 - Mair, Georg T1 - NIP II - Forschungsvorhaben „DELFIN“ N2 - Überblick über Projektinhalte und -ergebnisse aus dem Forschungsvorhaben Delfin „Erforschung alternativer Materialien und Fertigungsprozesse für kosten- und gewichtsreduzierte Druckbehälter aus endlosfaserverstärkten Kunststoff“ T2 - SAMPE Kolloquium CY - Online meeting DA - 15.01.2022 KW - Wasserstoff KW - Druckbehälter KW - Impact PY - 2022 AN - OPUS4-58064 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Karapanagiotis, Christos A1 - Schukar, Marcus A1 - Breithaupt, Mathias A1 - Duffner, Eric A1 - Ulbricht, Alexander A1 - Prager, Jens A1 - Krebber, Katerina T1 - Structural health monitoring of hydrogen pressure vessels using distributed fiber optic sensing N2 - We report on distributed fiber optic sensing-based monitoring of hydrogen composite overwrapped pressure vessels (COPV) to simultaneously increase the operational lifespan and mitigate maintenance costs. Our approach represents, to the best of our knowledge, the first application of distributed fiber optic sensing for COPV Type IV monitoring, where the sensing fibers are attached to the surface, rather than integrated into the composite material. Specifically, we attach an optical fiber of 50 m to the pressure vessel's surface, covering both the cylindrical and dome sections. We note that our fiber optic sensing technique relies on swept wavelength interferometry providing strain information along the entire length of the optical fiber with high spatial resolution even at the millimeter scale. When the vessel is pressurized, the sensing optical fiber shows a linear strain response to pressure at every position along the fiber. After thousands of load cycles, the vessel finally fails with the optical fiber detecting and precisely localizing the damage in the vessel’s blind dome area. Furthermore, we discuss the potential of state-of-the-art signal processing methods and machine learning for advancing predictive maintenance. This could reduce the number of regular inspections, mitigate premature maintenance costs, and simultaneously increase the vessel’s remaining safe service life. We believe that the structural health monitoring of hydrogen pressure vessels with fiber optic sensors can enhance trust in hydrogen technology contributing to the energy transition in the future. T2 - 11th European Workshop on Structural Health Monitoring CY - Potsdam, Germany DA - 10.06.2024 KW - Hydrogen KW - Composites KW - Pressure vessels KW - Fiber optic sensors KW - Machine learning KW - Structural health monitoring PY - 2024 AN - OPUS4-60275 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Karapanagiotis, Christos A1 - Heimann, Jan A1 - Duffner, Eric A1 - Charmi, Amir A1 - Schukar, Marcus A1 - Hashemi, Seyedreza A1 - Prager, Jens T1 - Towards predictive maintenance of hydrogen pressure vessels based on multi-sensor data fusion and digital twin modeling N2 - Hydrogen pressure vessels are among the most essential components for reliable hydrogen technology. Under current regulations, a mostly conservative strategy is employed, restricting the usage time of hydrogen pressure vessels without providing information on the real remaining lifetime. During the service life, pressure vessels are inspected periodically. However, no established method that can provide continuous monitoring or information on the remaining safe service life of the vessel. In this paper, we propose a sensor network for Structural Health Monitoring (SHM) of hydrogen pressure vessels where data from all sensors are collected and centrally evaluated. Specifically, we integrate three different SHM sensing technologies namely Guided Wave ultrasonics (GW), Acoustic Emission testing (AT), and distributed Fiber Optic Sensing (FOS). This integrated approach offers significantly more information and could therefore enable a transition from costly and time-consuming periodic inspections to more efficient and modern predictive maintenance strategies, including Artificial Intelligence (AI)-based evaluation. This does not only have a positive effect on the operational costs but enhances safety through early identification of critical conditions in the overall system in real-time. We demonstrate an experimental set-up of a lifetime test where a Type IV Composite Overwrapped Pressure Vessel (COPV) is investigated under cyclic loading instrumented with AT, FOS, and GW methods. We acquired data from the sensor network until the pressure vessel failed due to material degradation. The data collected using the three different SHM sensor technologies is planned to be evaluated individually, using data fusion, and AI. In the future, we aim to integrate the measurement setup into a hydrogen refueling station with the data stream implemented into a digital signal processing chain and a digital twin. T2 - 11th European Workshop on Structural Health Monitoring CY - Potsdam, Germany DA - 10.06.2024 KW - Hydrogen KW - Ultrasonic guided waves KW - Fiber optic sensors KW - Acoustic emission KW - Machine learning KW - Pressure vessels KW - Structural health monitoring PY - 2024 AN - OPUS4-60277 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Karapanagiotis, Christos A1 - Heimann, Jan A1 - Duffner, Eric A1 - Charmi, Amir A1 - Schukar, Marcus A1 - Hashemi, Seyedreza A1 - Prager, Jens T1 - Towards predictive maintenance of hydrogen pressure vessels based on multi-sensor data fusion and digital twin modeling N2 - Hydrogen pressure vessels are among the most essential components for reliable hydrogen technology. Under current regulations, a mostly conservative strategy is employed, restricting the usage time of hydrogen pressure vessels without providing information on the real remaining lifetime. During the service life, pressure vessels are inspected periodically. However, no established method that can provide continuous monitoring or information on the remaining safe service life of the vessel. In this paper, we propose a sensor network for Structural Health Monitoring (SHM) of hydrogen pressure vessels where data from all sensors are collected and centrally evaluated. Specifically, we integrate three different SHM sensing technologies namely Guided Wave ultrasonics (GW), Acoustic Emission testing (AT), and distributed Fiber Optic Sensing (FOS). This integrated approach offers significantly more information and could therefore enable a transition from costly and time-consuming periodic inspections to more efficient and modern predictive maintenance strategies, including Artificial Intelligence (AI)-based evaluation. This does not only have a positive effect on the operational costs but enhances safety through early identification of critical conditions in the overall system in real-time. We demonstrate an experimental set-up of a lifetime test where a Type IV Composite Overwrapped Pressure Vessel (COPV) is investigated under cyclic loading instrumented with AT, FOS, and GW methods. We acquired data from the sensor network until the pressure vessel failed due to material degradation. The data collected using the three different SHM sensor technologies is planned to be evaluated individually, using data fusion, and AI. In the future, we aim to integrate the measurement setup into a hydrogen refueling station with the data stream implemented into a digital signal processing chain and a digital twin. T2 - 11th European Workshop on Structural Health Monitoring CY - Potsdam, Germany DA - 10.06.2024 KW - Acoustic emission KW - Ultrasonic guided waves KW - Fiber optic sensors KW - Hydrogen KW - Pressure vessels KW - Structural health monitoring KW - Machine learning PY - 2024 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-602764 UR - https://www.ndt.net/search/docs.php3?id=29702 SP - 1 EP - 8 PB - NDT.net AN - OPUS4-60276 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Karapanagiotis, Christos A1 - Schukar, Marcus A1 - Breithaupt, Mathias A1 - Duffner, Eric A1 - Ulbricht, Alexander A1 - Prager, Jens A1 - Krebber, Katerina T1 - Structural health monitoring of hydrogen pressure vessels using distributed fiber optic sensing N2 - We report on distributed fiber optic sensing-based monitoring of hydrogen composite overwrapped pressure vessels (COPV) to simultaneously increase the operational lifespan and mitigate maintenance costs. Our approach represents, to the best of our knowledge, the first application of distributed fiber optic sensing for COPV Type IV monitoring, where the sensing fibers are attached to the surface, rather than integrated into the composite material. Specifically, we attach an optical fiber of 50 m to the pressure vessel's surface, covering both the cylindrical and dome sections. We note that our fiber optic sensing technique relies on swept wavelength interferometry providing strain information along the entire length of the optical fiber with high spatial resolution even at the millimeter scale. When the vessel is pressurized, the sensing optical fiber shows a linear strain response to pressure at every position along the fiber. After thousands of load cycles, the vessel finally fails with the optical fiber detecting and precisely localizing the damage in the vessel’s blind dome area. Furthermore, we discuss the potential of state-of-the-art signal processing methods and machine learning for advancing predictive maintenance. This could reduce the number of regular inspections, mitigate premature maintenance costs, and simultaneously increase the vessel’s remaining safe service life. We believe that the structural health monitoring of hydrogen pressure vessels with fiber optic sensors can enhance trust in hydrogen technology contributing to the energy transition in the future. T2 - 11th European Workshop on Structural Health Monitoring CY - Potsdam, Germany DA - 10.06.2024 KW - Hydrogen KW - Fiber optic sensors KW - Composites KW - Machine learning KW - Structural health monitoring PY - 2024 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-602731 UR - https://www.ndt.net/search/docs.php3?id=29701 SP - 1 EP - 7 PB - NDT.net AN - OPUS4-60273 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Kehr, Torsten A1 - Günzel, Stephan A1 - Habib, Abdel Karim A1 - Mair, Georg A1 - Maiwald, Michael A1 - Prager, Jens A1 - Tiebe, Carlo T1 - Project QI-Digital - Quo vadis Use Case H2 Refueling Station? N2 - As a part of the QI-Digital cooperation project, BAM is setting up a hydrogen refuelling station research platform at the Test site for Technical Safety in Horstwalde. Based on this platform, BAM intends to develop, to test and to optimize new measurement techniques as well as data acquisition and processing methods for hydrogen refuelling stations and their periphery in close cooperation with partners from the quality infrastructure and industry. The presentation will introduce the hydrogen refuelling station use case and provide insights into the issues and research goals of the associated subprojects. T2 - H2-Colloquium of the Competence Centre „H2SAFETY@BAM” CY - Online meeting DA - 16.02.2022 KW - Hydrogen KW - Safety KW - QI-Digital PY - 2022 AN - OPUS4-54361 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Maiwald, Michael A1 - Askar, Enis A1 - Günzel, Stephan A1 - Holtappels, Kai A1 - Mair, Georg A1 - Orellana Pérez, Teresa A1 - Sobol, Oded A1 - Tiebe, Carlo T1 - Competence Centre H2Safety@BAM – Safeguarding the Quality Infrastructure in the Hydrogen Economy N2 - Hydrogen is a central component of the energy transition and the European Green Deal for a climate-neutral Europe. To achieve the goals defined for 2050, the EU and the German government have developed a framework for action and are making long-term investments in research, development, and the rapid implementation of innovative hydrogen technologies. With the Competence Centre "H2Safety@BAM", BAM is creating the safety-related prerequisites for the successful implementation of hydrogen technologies at national as well as European level. To this end, BAM conducts research, testing and consulting in a holistic and inter-disciplinary manner under one roof – in the Competence Centre H2Safety@BAM. The activities of the competence centre focus on ensuring the safety of infra-structures, plants, and processes as well as innovative hydrogen transport and storage systems based on digital quality testing and the experimental testing of components and systems. It thus creates the prerequisites for the implementation and adaptation of legal framework conditions as well as for standardization. Closely related to this are investigations into the properties and compatibility of metallic materials and polymers as well as friction systems for the safe operation of components, plants, processes, and systems. This interdisciplinary and holistic approach is complemented by the development of gas analytics and suitable sensors, online measurements of gas properties in process control, test scenarios under real conditions as well as impact assessments of accidents and risk assessments and risk management systems derived from them. With its portfolio of tasks and competences, BAM builds trust in the safety and reliability of technical system solutions for hydrogen. T2 - 772. WE-Heraeus-Seminar - Metrology and Process Safety for Hydrogen Technologies & Applications CY - Bad Honnef, Germany DA - 10.10.2022 KW - H2Safety@BAM KW - Hydrogen KW - Competence Center KW - Hydrogen Strategy KW - Green Deal KW - Safety KW - Risk Assessment KW - Quality Infrastructure PY - 2022 UR - https://www.we-heraeus-stiftung.de/veranstaltungen/metrology-and-process-safety-for-hydrogen-technologies-and-applications/ AN - OPUS4-55986 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Munzke, Dorit A1 - Duffner, Eric A1 - Eisermann, René A1 - Schukar, Marcus A1 - Schoppa, André A1 - Szczepaniak, Mariusz A1 - Strohhäcker, J. A1 - Mair, Georg T1 - Monitoring of type IV composite pressure vessels with multilayer fully integrated optical fiber based distributed strain sensing N2 - We present the results of distributed fiber optic strain sensing for condition monitoring of a hybrid type IV composite fully wrapped pressure vessel using multilayer integrated optical fibers. Distributed strain sensing was performed for a total number of 252,000 load cycles until burst of the vessel. During this ageing test material fatigue could be monitored and spatially localized. Critical material changes were detected 17,000 cycles before material failure. Results have been validated by acoustic emission analysis. T2 - 12th International Conference on Composite Science and Technology (ICCST12) CY - Sorrento, Italy DA - 08.05.2019 KW - Hybrid composite pressure vessel KW - Distributed fiber optic sensing KW - Acoustic emission analysis KW - Structural health monitoring PY - 2020 UR - https://nbn-resolving.org/urn:nbn:de:kobv:b43-516772 DO - https://doi.org/10.1016/j.matpr.2020.02.872 SN - 2214-7853 VL - 34 SP - 217 EP - 223 PB - Elsevier Ltd. CY - Amsterdam AN - OPUS4-51677 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Orellana Pérez, Teresa A1 - Mair, Georg A1 - Holtappels, Kai A1 - Maiwald, Michael A1 - Sobol, Oded T1 - Die Wasserstoffstrategie der BAM; Kompetenzzentrum H 2 safety@bam N2 - Das Thema Wasserstoff ist an der BAM seit mehr als hundert Jahren aktuell und steht auch gegenwärtig im Zentrum zahlreicher Forschungs- und Kooperationsaktivitäten. Mit der aktuellen Wasserstoff-Strategie der BAM werden wichtige Voraussetzungen dafür geschaffen, dass der Markthochlauf gelingt und die technische Sicherheit und Überwachung der Infrastrukturen und Anlagen gewährleistet ist – von der Erzeugung, über den Transport bis zur Speicherung und Bereitstellung von Wasserstoff als Energieträger der Zukunft. T2 - 1st Digital AK PostDocs Meeting CY - Online meeting DA - 01.10.2020 KW - Kompetenzzentrum H2Safety@BAM KW - Wasserstoff KW - Wasserstoffstrategie PY - 2020 AN - OPUS4-51371 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Tiebe, Carlo A1 - Maiwald, Michael A1 - Rabe, Torsten A1 - Prager, Jens A1 - Lugovtsova, Yevgeniya A1 - Schukar, Marcus A1 - Munzke, Dorit A1 - Duffner, Eric A1 - Eisermann, René A1 - Schoppa, André A1 - Szczepaniak, Mariusz A1 - Strohhäcker, J. A1 - Mair, Georg T1 - Prüf- und Messverfahren mit verschiedenen Sensortechnologien und Ultraschallwellen N2 - Der Vortrag zum Mess- und Prüfverfahren mit verschiedenen Sensortechnologien und Ultraschallwellen beinhaltet die Themen: Metrologie zur Wasserstoffspeicherung - Euramet-Vorhaben "MefHySto", Erkennung von freigesetztem Wasserstoff sowie die Bestimmung des Wasserstoff-Luftverhälntisses mit Gassensoren, zerstörungsfreie Fehlstellenerkennung mit integriertem Zustandsüberwachungssystem basierend auf geführten Ultraschallwellen zur Lebensdauerüberwachung von Composite-Behältern (Wasserstoffspeicher) sowie faseroptische Sensorik zur Schadenfrüherkennung von Wasserstoffspeichern aufgrund erkennbarer Dehnungsänderungen an Druckbehältern. T2 - DVGW Kongress H2 Sicherheit CY - Online meeting DA - 28.09.2021 KW - Leckdetektion KW - Metrologie zur Wasserstoffspeicherung KW - Gassensorik KW - Structural Health Monitoring (SHM) KW - Geführte Ultraschallwellen KW - Faseroptische Sensorik KW - Zerstörungsfreie Prüfung PY - 2021 AN - OPUS4-54136 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Tiebe, Carlo A1 - Maiwald, Michael A1 - Majewski, J. A1 - Rabe, Torsten A1 - Prager, Jens A1 - Lugovtsova, Yevgeniya A1 - Schukar, Marcus A1 - Szczepaniak, Mariusz A1 - Munzke, Dorit A1 - Duffner, Eric A1 - Eisermann, René A1 - Schoppa, André A1 - Strohhäcker, J. A1 - Mair, Georg T1 - Mess- und Prüfverfahren mit Sensorik N2 - Mess- und prüftechnische Verfahren sind zur Prozesskontrolle und Sicherheitsüberwachung in Wasserstofftechnologien von hoher Bedeutung. Typische Anwendungsgebiete von Sensoren sind Sicherheitsüberwachung, Leckdetektion und Prozesskontrolle. In diesem Beitrag werden Themen zur Erkennung von freigesetztem Wasserstoff sowie die Bestimmung des Wasserstoff-Luftverhältnisses mit Gassensoren, Fehlstellenerkennung mit geführten Ultraschallwellen zur Lebensdauerüberwachung (Structural Health Monitoring) von Wasserstoffspeichern sowie der Einsatz faseroptischer Sensoren zur Überwachung des Dehnungs- und Alterungsverhaltens sowie zur Schadensfrüherkennung von Wasserstoffspeichern vorgestellt. T2 - DVGW Kongress H2 Sicherheit CY - Online meeting DA - 27.01.2021 KW - Metrologie KW - Gassensoren KW - Structural Health Monitoring KW - Faseroptische Sensoren KW - Wasserstoff PY - 2021 AN - OPUS4-52141 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Tiebe, Carlo A1 - Maiwald, Michael A1 - Bresch, Sophie A1 - Prager, Jens A1 - Lugovtsova, Yevgeniya A1 - Schukar, Marcus A1 - Munzke, Dorit A1 - Duffner, Eric A1 - Eisermann, René A1 - Schoppa, André A1 - Szczepaniak, Mariusz A1 - Strohhäcker, J. A1 - Mair, Georg T1 - Sensoren und Analytik für Sicherheit und Prozesskontrolle in Wasserstofftechnologien N2 - Der Beitrag beinhaltet Themen vom H2Safety@BAM-Kompetenzfeld Sensorik, Analytik und zertifizierte Referenzmaterialien (SensRef) mit Fokus auf Mess- und Prüfverfahren mit verschiedenen Sensortechnologien und Ultraschallwellen: Metrologie zur Wasserstoffspeicherung - Euramet-Vorhaben "MefHySto", Erkennung von freigesetztem Wasserstoff sowie die Bestimmung des Wasserstoff-Luftverhälntisses mit Gassensoren, zerstörungsfreie Fehlstellenerkennung mit integriertem Zustandsüberwachungssystem basierend auf geführten Ultraschallwellen zur Lebensdauerüberwachung von Composite-Behältern (Wasserstoffspeicher) sowie faseroptische Sensorik zur Schadenfrüherkennung von Wasserstoffspeichern aufgrund erkennbarer Dehnungsänderungen an Druckbehältern. T2 - DVGW Kongress H2 Sicherheit CY - Online meeting DA - 23.11.2022 KW - H2Safety@BAM KW - SensRef KW - Faseroptische Sensorik KW - Gassensorik KW - Geführte Ultraschallwellen KW - Leckdetektion KW - Metrologie zur Wasserstoffspeicherung KW - Zerstörungsfreie Prüfung KW - Structural Health Monitoring (SHM) PY - 2022 AN - OPUS4-56683 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Widjaja, Martinus Putra A1 - Moosavi, R. A1 - John, Sebastian A1 - Schumacher, David A1 - Grunwald, Marcel A1 - Auster, Jürgen A1 - Szczepaniak, Marius A1 - Mair, Georg A1 - Waske, Anja T1 - Impact damage evaluation of hydrogen composite pressure vessels by analysing computed tomography images N2 - The objective of this work is to find a method that describes the degree of damage from an impact experiment. This experiment was performed on Composite Pressure Vessels (CPV) in order to find the correlation of impact damage to the residual burst pressure. Computed Tomography (CT) approach was used to capture the before and after impact condition of the CPVs. The Wasserstein function was used to calculate how much the after impact image has differed from the original one. In the end, a good correlation was obtained to the residual burst pressure. The smaller the Wasserstein distance is, the higher the residual burst pressure would be and vice versa. T2 - HyFiSyn Conference CY - Online meeting DA - 15.09.2021 KW - Hydrogen KW - Composite pressure vessel KW - Carbon fibre KW - Burst test KW - Image analysis KW - Computed tomography (CT) PY - 2021 AN - OPUS4-53496 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Widjaja, Martinus Putra A1 - Moosavi, Robabeh A1 - John, Sebastian A1 - Schumacher, David A1 - Grunwald, Marcel A1 - Auster, Jürgen A1 - Szczepaniak, Marius A1 - Mair, Georg A1 - Waske, Anja T1 - Impact damage evaluation of hydrogen composite pressure vessels by analysing computed tomography images N2 - The objective of this work is to find a method that describes the degree of damage from an impact experiment. This experiment was performed on Composite Pressure Vessels (CPV) in order to find the correlation of impact damage to the residual burst pressure. Computed Tomography (CT) approach was used to capture the before and after impact condition of the CPVs. The Wasserstein function was used to calculate how much the after impact image has differed from the original one. In the end, a good correlation was obtained to the residual burst pressure. T2 - HyFiSyn Conference CY - Online meeting DA - 15.09.2021 KW - Hydrogen KW - Composite pressure vessel KW - Carbon fibre KW - Burst test KW - Image analysis KW - Computed tomography (CT) PY - 2021 SP - 31 EP - 32 AN - OPUS4-53494 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -