TY - JOUR A1 - Kling e Silva, L. A1 - Almeida, G. A1 - Kadoke, Daniel A1 - Daum, Werner A1 - Ribeiro Pereira, G. T1 - Automation of pipe defect detection and characterization by structured light N2 - High quality tubular products are essential to the oil and gas industry. Quality control during their production focuses on the non-destructive detection of surface defects. The structured light technique is a candidate for the challenge to detect, monitor and evaluate such defects in real-time. In the present study the automatic processing of structured light measurements is performed and validated. The algorithm for the automatic Analysis of inspection data has an advantage over current data evaluation methods based on individual assessments of operators. KW - Non-destructive testing KW - Data processing KW - Defect evaluation KW - Materials evaluation KW - Structured light scanning (SLS) PY - 2021 DO - https://doi.org/10.1515/mt-2020-0008 SN - 0033-8230 VL - 63 IS - 1 SP - 55 EP - 61 PB - Walter de Gruyter GmbH CY - Berlin/ Boston AN - OPUS4-52124 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Daum, Werner A1 - Gründer, Klaus-Peter T1 - VDI/VDE Standardization Activities of DIC Measurement Techniques N2 - With more than 180.000 engineers and scientists VDI Association of German Engineers and VDE Association for Electrical, Electronic & Information Technologies are belonging to the major technical and scientific associations in Europe. Both organizations promote the advancement of technology and among other things by developing recognized technical regulations as national and international standards. Since 2011 Technical Committee 2.15 Optical Measuring Methods for Structure Analysis and Monitoring as a common committee of both organizations is working among other things on the development of standards for optical measuring and testing methods. The committee consists of 27 members representing industrial users, system manufacturers, research institutes and universities. Currently the committee is drafting the new standard VDI/VDE 2626 Part 1 - Optical measuring procedures – Image correlation methods – Basics and equipment, which will be introduced in this presentation. Draft VDI/VDE 2626 Part 1 describes practical acceptance and reverification procedures for the evaluation of the accuracy of optical measuring systems based on digital image correlation (DIC) methods. The document applies to DIC measurement systems used a) for full-field determination of two- or three-dimensional displacement of surfaces, and b) for full-field determination of the elongation or strain of surfaces. The standard describes quality parameters as well as methods and reference objects for their determination. The quality parameters serve to specify DIC systems, and to compare different systems. They are equally suitable a) for acceptance tests as well as b) for reverification of DIC systems within the framework of a quality management system. The acceptance test is used to determine whether the DIC system complies with the quality parameter limits specified by the manufacturer, or with contractually agreed limits by the manufacturer and user, respectively. For this test the quality parameters zero-displacement error, zero-strain error, and displacement error are defined and used. Zero-displacement error and zero-strain error describe minimum measurement uncertainties of the DIC system a user has to reckon with. They are influenced by different uncertainty contributions. The quality parameter displacement error is used to check the ability of the DIC system to determine absolute displacements within the measurement volume and to confirm the traceability of this measurement to the SI system. Reverification of DIC systems serves to ensure long-term compliance with specified limits for the quality parameters. By comparing the results of successive reverification measurements of the quality parameters used for the acceptance test, it is possible to analyze trends with respect to changes in DIC system characteristics. T2 - Annual International DIC Society Conference 2017 CY - Barcelona, Spain DA - 06.11.2017 KW - Digital image correlation KW - Standardization PY - 2017 AN - OPUS4-43373 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - GEN A1 - Daum, Werner A1 - Hofmann, Detlef A1 - Basedau, Frank A1 - Brandes, K. A1 - Kubowitz, P. ED - Curbach, M. ED - Opitz, H. ED - Scheerer, S. ED - Hampel, T. T1 - Erweiterte Strukturabbildung von Brücken mit adaptiven mathematischen Modellen zur Lösung aktueller noch ungelöster Probleme N2 - Health monitoring von größeren Strukturen erfordert die Betrachtung der gesamten Struktur, indem sowohl jener Bereich, der experimentell behandelt wird, als auch derjenige, der einer analytischen mechanischen Untersuchung unterzogen wird, in einem Gesamtzusammenhang erfasst wird. Die umfassende Behandlung des Problems gelingt dann in einer Gesamtmatrix, die im Beitrag vorgestellt wird. Auf eine Erweiterung der Methode zur Detektierung anwachsender Schädigungen wird hingewiesen. KW - Structural Health Monitoring KW - Schadensdetektion KW - Adaptives mathematisches Modell PY - 2017 UR - https://nbn-resolving.org/urn:nbn:de:bsz:14-qucosa-201229 SN - 1613-6934 VL - Konstruktiver Ingenieurbau Dresden IS - 43 SP - 183 EP - 188 PB - Institut für Massivbau, TU Dresden CY - Dresden AN - OPUS4-43371 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CHAP A1 - Daum, Werner A1 - Czichos, Horst ED - Grote, Karl-Heinrich ED - Bender, Beate ED - Göhlich, Dietmar T1 - Messtechnik und Sensorik N2 - Für den allgemeinen Maschinenbau wichtige Messtechnik und Sensorik werden grundlegend und anwendungsbezogen beschrieben. KW - Messtechnik KW - Sensorik KW - Maschinenbau PY - 2018 SN - 978-3-662-54804-2 DO - https://doi.org/10.1007/978-3-662-54805-9 SP - W 2 EP - W 44 PB - Springer Vieweg CY - Berlin ET - 25 AN - OPUS4-47132 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Bartholmai, Matthias A1 - Werner, Klaus-Dieter A1 - Johann, Sergej A1 - Daum, Werner ED - Cosmi, F. T1 - Characterization of the temperature behavior of a piezoresistive accelerometer N2 - Piezoresistive accelerometers use a strain-sensing element, generally made of semiconductor material, e.g., silicon to convert the mechanical motion into an electrical signal. This element is usually designed in form of a cantilever beam loaded with a mass. Acceleration causes bending of the beam, which produces a change of electrical resistance proportional to the applied acceleration. Main advantages of piezoresistive accelerometers in comparison to other types, e.g., piezoelectric and capacitive, is their robust and highly dynamic behavior, which qualifies them for application in high impact shock applications. Mechanical damping is typically implemented with silicon oil in a way that the output signal is undistorted over a wide frequency range. These characteristics principally qualify them for the application in drop tests carried out at BAM, for which they are calibrated over the frequency range from 1 to 4 kHz. However, using silicon oil for damping, has the drawback of temperature dependent change of its viscosity, leading to temperature dependent deviation of the accelerometer’s sensitivity. This study presents experimental results of the temperature behavior of a piezoresistive accelerometer with a dynamic range up to ±5000 g. This type of accelerometer is applied for drop tests which are partially performed at temperatures of -40 or +100 °C. T2 - 34th Danubia-Adria Symposium on Advances in Experimental Mechanics CY - Trieste, Italy DA - 19.09.2017 KW - Accelerometer KW - Temperature behavior KW - Drop test PY - 2017 UR - https://www.openstarts.units.it/handle/10077/14921 SN - 978-88-8303-863-1 SP - 93 EP - 95 CY - Trieste AN - OPUS4-42109 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Maiwald, Michael A1 - Daum, Werner T1 - Trends in der prozessanalytischen Messtechnik N2 - Eine gleich bleibend effektive Nutzung von Anlagen, Rohstoffen und Energie in Verbindung mit der optimalen Prozessführung sind die wichtigsten Voraussetzungen für globale Wettbewerbsvorteile der Prozessindustrie. Unternehmen aus den Bereichen Chemie, Pharmazie, Petrochemie, Gasverarbeitung, Lebensmittel-, Zellstoff-, Papier-, Glas-, Stahl- und Zementherstellung sowie ihren Zulieferern haben den Einsatz zuverlässiger Prozessautomation für eine gute Prozessführung erkannt. Überlegene Verfahren stützen sich zunehmend auf prozessanalytische Messtechnik zur Kontrolle und präventiven Sicherstellung der geforderten Produktqualität. Gleichzeitig ermöglicht sie eine ständige Verbesserung des Wissens über den Prozess und erhöhen die Prozess- und Anlagensicherheit. PY - 2011 DO - https://doi.org/10.1524/teme.2011.9026 SN - 0340-837X SN - 0178-2312 SN - 0171-8096 VL - 78 IS - 12 SP - 547 EP - 548 PB - Oldenbourg CY - München AN - OPUS4-25262 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Daum, Werner A1 - Maierhofer, Christiane A1 - Thiel, Erik A1 - Altenburg, Simon A1 - Pelkner, Matthias A1 - Evans, Alexander T1 - Zerstörungsfreie Prüfung von AM Komponenten - Ein Überblick N2 - Der Vortag erläutert typische Fehlstellen und Inhomogenitäten, die bei der additiven Fertigung entstehen können. Weiterhin wird über den aktuellen Stand der herstellungsbegleitenden zerstörungsfreien Prüfung und der zerstörungsfreien Prüfung fertiger AM-Komponenten berichtet. T2 - 3. ROUND TABLE - Additiv gefertigte Druckgeräte aus metallischen Werkstoffen CY - Frankfurt a.M., Germany DA - 22.01.2019 KW - Additive Fertigung KW - Zerstörungsfreie Prüfung PY - 2019 AN - OPUS4-47344 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - GEN A1 - Maack, Stefan A1 - Benner, Philipp A1 - Kröll, Mirco A1 - Prager, Jens A1 - Daum, Werner A1 - Casperson, Ralf A1 - Heckel, Thomas A1 - Spaltmann, Dirk A1 - et al., ED - Wahlster, W. ED - Winterhalter, C. T1 - Deutsche Normungsroadmap künstliche Intelligenz T1 - German standardization roadmap on artificial intelligence N2 - Im Auftrag des Bundesministeriums für Wirtschaft und Klimaschutz haben DIN und DKE im Januar 2022 die Arbeiten an der zweiten Ausgabe der Deutschen Normungsroadmap Künstliche Intelligenz gestartet. In einem breiten Beteiligungsprozess und unter Mitwirkung von mehr als 570 Fachleuten aus Wirtschaft, Wissenschaft, öffentlicher Hand und Zivilgesellschaft wurde damit der strategische Fahrplan für die KI-Normung weiterentwickelt. Koordiniert und begleitet wurden diese Arbeiten von einer hochrangigen Koordinierungsgruppe für KI-Normung und -Konformität. Mit der Normungsroadmap wird eine Maßnahme der KI-Strategie der Bundesregierung umgesetzt und damit ein wesentlicher Beitrag zur „KI – Made in Germany“ geleistet. Die Normung ist Teil der KI-Strategie und ein strategisches Instrument zur Stärkung der Innovations- und Wettbewerbsfähigkeit der deutschen und europäischen Wirtschaft. Nicht zuletzt deshalb spielt sie im geplanten europäischen Rechtsrahmen für KI, dem Artificial Intelligence Act, eine besondere Rolle. N2 - On behalf of the German Federal Ministry of Economic Affairs and Climate Action, DIN and DKE started work on the second edition of the German Standardization Roadmap Artificial Intelligence in January 2022. With the broad participation and involvement of more than 570 experts from industry, science, the public sector and civil society, the strategic Roadmap for AI standardization was thus further developed. This work was coordinated and accompanied by a high-level coordination group for AI standardization and conformity. The standardization roadmap implements a measure of the German government’s AI Strategy and thus makes a significant contribution to “AI – Made in Germany”. Standardization is part of the AI Strategy and is a strategic instrument for strengthening the innovation and competitiveness of the German and European economies. Not least for this reason, standardization plays a special role in the planned European legal framework for AI, the Artificial Intelligence Act. KW - Digitalisierung KW - Künstliche Intelligenz KW - Datenwissenschaft KW - Normung Roadmap KW - Data science KW - Artificial intelligence KW - Standardization roadmap KW - Digitization PY - 2022 UR - https://www.din.de/resource/blob/1072988/20bf33d405710a703aa26f81362493bb/ausgabe-2-nrm-ki-data.pdf UR - https://www.dke.de/de/arbeitsfelder/core-safety/normungsroadmap-ki SP - 1 EP - 448 PB - Deutsches Institut für Normung (DIN) CY - Berlin ET - 2. AN - OPUS4-56576 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Hilgenberg, Kai A1 - Daum, Werner A1 - Maierhofer, Christiane A1 - Altenburg, Simon A1 - Bruno, Giovanni A1 - Heckel, Thomas A1 - Skrotzki, Birgit A1 - Zerbst, Uwe A1 - Kranzmann, Axel A1 - Bettge, Dirk A1 - Sommer, Konstantin A1 - Seeger, Stefan A1 - Nitsche, Michael A1 - Günster, Jens A1 - Evans, Alexander T1 - Additive manufacturing at the BAM: We focus on Safety N2 - In Germany, the Federal Institute for Materials Research and Testing (BAM) is addressing challenges in the implementation of additive manufacturing on the industrial landscape for safety-critical applications. KW - Process development KW - Additive Manufacturing KW - In-situ Process Monitoring KW - Non-destructive Materials KW - Characterisation KW - Safety KW - Fatigue KW - Environment KW - Standardisation PY - 2019 UR - https://static.asminternational.org/amp/201910/22/ SN - 0882-7958 VL - 177 IS - 7 SP - 22 EP - 26 PB - ASM International CY - Materials Park, OH, USA AN - OPUS4-49780 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -