Messsystem zur Dehnungsmessung von Faserwerkstoffen basierend auf subjektiven Laser-Speckle-Mustern
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Alexander Spaett
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Bernhard G. Zagar
Zusammenfassung
Fasern, sowohl Naturfasern als auch technische Fasern finden ihren Einsatz in vielen technischen Anwendungen. Es folgt daher die Notwendigkeit die Fasern zu charakterisieren. Die Charakterisierung umfasst in der Regel auch die Bestimmung des Spannungs-Dehnungs-Diagramms von einzelnen Fasern. Dieser Artikel beschäftigt sich mit einem Messsystem welches zur Messung des Spannungs-Dehnungs-Diagramms, auch unter erschwerten Testbedingungen, wie z. B. die Messung bei hohen und höchsten Temperaturen, geeignet ist. Es erfolgt neben der Präsentation des Messsystems ebenfalls eine Diskussion der optimierten Signalverarbeitung. Betrachtet werden anschließend Ergebnisse der Translation der Oberfläche eines menschlichen Haares, montiert auf einer Linearachse. Aus diesen Verschiebungen lässt sich dann, im Falle der Bestimmung des Spannungs-Dehnungs-Diagramms, die technische Dehnung ableiten. Es wird ein auf einer 4f − Optik basierender Aufbau verwendet. Für diesen erweist sich das Schätzen der Verschiebungen weit unter der Wellenlänge auf Basis des Kreuzleistungsdichtespektrum – unter den untersuchten Methoden – als am zuverlässigsten. Abschließend werden potentielle zukünftige Optimierungen des Gesamtsystems angerissen.
Abstract
Fibers, both natural and technical ones, are used in a plethora of technical applications, leading to the necessity of characterizing them. Material characterization usually involves the determination of the stress-strain curve – which is in the case of materials that are small in at least one dimension a challenging task. This article deals with a measurement system that is suitable for measuring the strain, even under challenging test conditions, such as a high-temperature environment. Additionally to the presentation of the measurement system, a discussion of the signal processing applied is included. Subsequently, the results of a displacement measurement of human hair mounted on a linear displacement stage are examined. In the case of the 4f − optical setup used, the estimation of displacements – and consequently also the strain – based on the cross-power density spectrum proves to be the most reliable option among the digital signal processing methods examined. Finally, potential future optimizations of the overall system are outlined.
Über die Autoren
Alexander Spaett received his B.Eng. in mechatronics in 2015 from the DHBW Stuttgart and his M.Sc. in mechatronics in 2017 from the Friedrich-Alexander-University Erlangen-Nürnberg. From 2018 to 2022 he worked as a research and teaching assistant at the Institute for Measurement Technology at the Johannes Kepler University Linz. His research interests are primarily in the fields of optical measurement technology and digital signal processing.
Bernhard G. Zagar received the diploma degree in EE from the Technical University Graz, Austria, in 1983, an MSc degree in computer science from the University of California at Davis, Davis, CA, USA, in 1988, and the Ph.D. degree in electrical engineering from Technical University Graz, in 1988. There he joined the Department of Electrical Engineering, where he was an Associate Professor in Instrumentation and Measurement until 1998. From 1986 to 1987 he was a research assistant and in 1994 a research associate with the Department of Electrical Engineering and Computer Science, University of California at Davis. He was a Full Professor with the Albert-Ludwigs-University, Freiburg, Germany, Department of Microsystem Engineering until 2000. From 2001 until his retirement in 2022, he was a full professor and head of the Institute for Measurement Technology, Johannes Kepler University Linz, Linz, Austria specializing in instrumentation and measurement, digital signal and image processing, sensors, laser-optical systems and magnetic tomography. In 2022 he joined the Montanuniversitaet Leoben, Austria as a full professor for electrical engineering.
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Research ethics: Not applicable.
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Author contributions: The author(s) have (has) accepted responsibility for the entire content of this manuscript and approved its submission.
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Competing interests: The author(s) state(s) no conflict of interest.
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Research funding: None declared.
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Data availability: The raw data can be obtained on request from the corresponding author.
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© 2023 Walter de Gruyter GmbH, Berlin/Boston
Articles in the same Issue
- Frontmatter
- Research Articles
- Messsystem zur Dehnungsmessung von Faserwerkstoffen basierend auf subjektiven Laser-Speckle-Mustern
- In-field calibration of triaxial accelerometer based on PE-ANGO
- Charakterisierung eines parallelkinematisch aktuierten In-situ-Referenzmesssystems für 5D-Nanomess- und Fabrikationsanwendungen
- Number of samples to use in estimating sinewave amplitude in the presence of noise
- Real-time imaging-ellipsometry on cylindrical substrates with a polarization camera
- Fault diagnosis using signal processing and deep learning-based image pattern recognition
- Erratum
- Erratum to: Potentials and challenges of deep-learning-assisted porosity prediction based on thermographic in-situ monitoring in laser powder bed fusion
Articles in the same Issue
- Frontmatter
- Research Articles
- Messsystem zur Dehnungsmessung von Faserwerkstoffen basierend auf subjektiven Laser-Speckle-Mustern
- In-field calibration of triaxial accelerometer based on PE-ANGO
- Charakterisierung eines parallelkinematisch aktuierten In-situ-Referenzmesssystems für 5D-Nanomess- und Fabrikationsanwendungen
- Number of samples to use in estimating sinewave amplitude in the presence of noise
- Real-time imaging-ellipsometry on cylindrical substrates with a polarization camera
- Fault diagnosis using signal processing and deep learning-based image pattern recognition
- Erratum
- Erratum to: Potentials and challenges of deep-learning-assisted porosity prediction based on thermographic in-situ monitoring in laser powder bed fusion
