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Das optisch-interferometrische Messverfahren der Shearografie ist eine anerkannte zerstörungsfreie Prüfmethode, die derweilen vor allem in der Prototypenentwicklung der Luft- und Raumfahrt eingesetzt wird. Messobjekte werden mit kohärentem Laserlicht beleuchtet und durch Shear-Optiken mittels Kamerabildaufnahme erfasst. Dabei werden bei geringster Anregung des Messobjektes Deformationen im Sub-Mikrometer Bereich sichtbar. Anomalien in diesem Deformationsverhalten lassen auf Materialfehler schließen. Durch die neuartige Methode des räumlichen Phasenschiebens bei der Shearogramm-Berechnung lässt sich die Verfahrensrobustheit z. T. enorm steigern. Nach dem aktuellen Stand der Technik mit zeitlichem Phasenschieben sind typischerweise 8 Bildaufnahmen je Messung notwendig. Beim räumlichen Phasenschieben sind es lediglich 2, wodurch Messungen im Kameravideotakt durchführbar sind. Störungen wie Schwingungen führen so nur noch in geringem Maße zur Dekorrelation bei der Messung. Zudem werden durch den Einsatz dynamischer Anregungsverfahren sehr schnelle Prüfungen realisierbar. In unserem Paper zeigen wir die Anwendung der neuen Technik für günstige Bauteile, die z. T. in der Massenfertigung produziert werden. Die Shearografie mit räumlichem Phasenschieben bietet durch ihre Robustheit und Echtzeittauglichkeit eine praxisgerechte und wirtschaftliche ZfP-Lösung für bisher nicht berücksichtigte, potentielle Materialfehler in solchen Bauteilen.
Ein Wachstum der Luftfahrtindustrie wäre ohne den Fortschritt im Leichtbau nicht denkbar. Damit gehen moderne zerstörungsfreie Prüfverfahren einher, welche die Betriebssicherheit von Flugzeugen gewährleisten. Die Entwicklung neuer Leichtbaukonstruktionen führt erfordert zunehmend komplexere Bauteile, wodurch die Anforderungen an die zerstörungsfreien Prüfverfahren steigen. Die optische Messtechnik bietet hierbei den entscheidenden Vorteil der berührungslosen, schnellen und flächendeckenden Fehlstellendetektion. Zudem arbeiten sie materialunabhängig, was sie für die Prüfung moderner Werkstoffkomposite prädestiniert. Dennoch existieren Fehlerarten, die nur schwer auffindbar sind. Risse sind beispielsweise erst ab einem bestimmten Ausmaß mittels ZfP auffindbar. Sie wachsen exponentiell, was das Risiko eines Bruchs gefährlich macht. Sofern nicht bereits ein Aufklaffen vorliegt, sind Risse unter visueller, thermografischer und computertomografischer Betrachtung unsichtbar. Daher werden oftmals aufwändige Prüfungen wie das Farbeindringverfahren durchgeführt. Hingegen misst die Shearografie das Dehnungsverhalten einer Oberfläche unter einer Belastung. Dabei ist insbesondere die Ausrichtung des Shears zur Ausbreitungsrichtung einer Fehlstelle dafür verantwortlich, ob diese entdeckt wird. Da die Ausbreitungsrichtung in der Praxis unbekannt ist, wird in diesem Paper ein Dual-shear Versuchsaufbau mit transienter Objektbelastung diskutiert. Mittels FEM-Simulation und Digital Image Correlation wird gezeigt, dass sich Risse bevorzugt durch Anomalien im in-plane Dehnungsverhalten bemerkbar machen. In der praktischen Anwendung liefern die einfacher messbaren out-of-plane Anteile ebenfalls vielversprechende Ergebnisse. Der Sachverhalt wird für rissbehaftete Zugproben sowie anhand eines praktischen Beispiels im Vergleich zur aktiven Thermografie erörtert und die Einsatztauglichkeit der Dual-shear Methode aufgezeigt.
Speckle-interferometrische Verfahren wie die Holografie und die Shearografie ermöglichen die flächenhafte und hochsensitive Erfassung von Oberflächenverformungen und werden in der zerstörungsfreien Prüfung zur Detektion charakteristischer Defektmechanismen eingesetzt. Die Defektdetektion erfolgt dabei indirekt über die mechanische Reaktion eines Bauteils auf eine definierte Belastung. Aus der hohen Sensitivität der Verfahren sowie der Vielzahl an Einflussgrößen bei der Messkonfiguration ergibt sich eine starke Abhängigkeit der Messergebnisse von der gewählten Parametrierung und der anschließenden Auswertung. Trotz ihres Potentials ist der industrielle Einsatz speckle-interferometrischer Verfahren bislang auf spezialisierte Anwendungen beschränkt. Als wesentliche Ursache wird die fehlende systematische und reproduzierbare Parametereinstellung sowie die komplexe Interpretation der hochdimensionalen interferometrischen Messdaten angesehen.
Die vorliegende Arbeit untersucht diese Problemstellung durch eine Analyse der zugrunde liegenden physikalischen Zusammenhänge sowie durch die Betrachtung datenbasierter Auswertungsverfahren. Zunächst wird das Verfahren in seine Prozessschritte zerlegt und hinsichtlich der Abhängigkeit von Erfahrungswissen analysiert. Darauf aufbauend wird eine Simulationskette formuliert, die die Abbildung von Bauteil, Belastung und resultierendem Messsignal beschreibt und zur systematischen Parametrierung genutzt wird.
Für die Untersuchung datenbasierter Auswertungsverfahren wird mit dem Datensatz SADD eine Datengrundlage geschaffen, die die charakteristischen Eigenschaften speckle-interferometrischer Messdaten abbildet. Der Datensatz umfasst definierte Prüfkörper, kontrollierte Belastungssituationen sowie eine strukturierte Annotation der resultierenden Signalstrukturen. Auf dieser Grundlage werden verschiedene Ansätze zur Merkmalsextraktion und Defektdetektion untersucht, darunter überwachte und unüberwachte Verfahren sowie Zero-Shot-Ansätze. Die Modelle werden hinsichtlich ihrer Fähigkeit bewertet, charakteristische Signalstrukturen zu erkennen und unterschiedliche Defekttypen zu differenzieren.
Die Untersuchungen zeigen, dass sowohl modellbasierte Ansätze zur Parametrierung als auch datengetriebene Verfahren zur Auswertung geeignet sind, zentrale Teilaspekte der bisher erfahrungsbasierten Vorgehensweise zu adressieren. Die Parametrierung wird dabei auf eine physikalisch begründete Beschreibung der Zusammenhänge zwischen Bauteil, Belastung und Messsignal zurückgeführt, während die Auswertung durch datengetriebene Methoden hinsichtlich der Erkennung charakteristischer Signalstrukturen untersucht wird.
Insgesamt wird ein Ansatz aufgezeigt, mit dem sich die Abhängigkeit von domänenspezifischem Erfahrungswissen in einzelnen Prozessschritten reduzieren lässt und der damit eine Grundlage für eine weitergehende Automatisierung speckle-interferometrischer Messverfahren bildet.
Reliable inspection of micro-scale components is essential in fields such as electronics and medical device manufacturing. To address this, a method combining digital speckle holography with microscopy has been developed. The resulting “Microferoscope” enables precise detection of structural defects in areas of just a few square millimetres. The method identifies minute deformations induced by controlled external stimuli, such as thermal or mechanical loading. Characteristic deformation patterns reveal structural anomalies. A dedicated module with orthogonal illumination allows for high-resolution measurement of deformations perpendicular to the component surface. Additionally, a three-dimensional module using laser diodes of different wavelengths enables the detection of both in-plane and out-of-plane deformations. Although high sensitivity in out-of-plane detection enhances defect recognition, it also increases susceptibility to environmental disturbances. This study compares both modules on micro-components to evaluate their sensitivity, robustness, and practical applicability.
Understanding stream fish habitat use in response to hydrological variability is key for effective riverine management under increasing climate-induced flow extremes. In this field study, we investigated microhabitat use by brown trout (Salmo trutta Linnaeus, 1758) in a Central European low mountain stream using PIT telemetry over three years. Continuous monitoring captured habitat preferences under low, moderate, and high-flow conditions. During low flows, trout mainly used riffles with stable, coarse substrates, while juveniles occupied more cryptic refuges. At moderate discharge, detection rates across age groups converged, suggesting more uniform habitat use, possibly due to greater accessibility or reduced spatial constraints. Under high-flow conditions, trout retreated to deeper pools offering structural cover such as woody debris and undercut banks, likely reducing energy expenditure and predation risk. Juvenile detections were particularly scarce when discharge reached the uppermost high-flow range, possibly reflecting displacement, reduced swimming capacity, or use of refuges beyond detection range. Our findings highlight the need to preserve a mosaic of habitat types, including riffles, pools and complex cover, to support age-specific responses and enhance trout resilience under hydrological extremes. This study underscores the value of long-term in situ data for informing conservation strategies in dynamic freshwater ecosystems.
This publication focuses on the production of low-cost prototypes of coaxial-waveguide transitions (CWTs) that achieve the performance level of industrial WR90 and WR187 CWTs. The assembly consists of a specially designed coupling element in stripline technology that merges into an SMA connector. It is embedded into a 3D printed housing treated with a metallic surface finishing to achieve compatibility with hollow waveguides. In the first part of this study, a copper spray varnish is used to create a conductive surface on the device under test (DUT). After assembly of the prototypes, network parameters will be extracted for one pair of transitions by carrying out a set of 2-port measurements. The individual performance of a singular DUT is then deembedded by using reference measurements of commercial-grade waveguides. This analysis shows that also S-parameter extraction on connectors with a poor transition is valid. Subsequently, the procedure for the developed WR90 CWT is applied to a WR187 waveguide standard, again followed by a performance analysis. The procedure briefly addresses the modified parameters and illustrates the results as S-parameters. A comparative analysis of the measurement results for each deembedded WR90 and WR187 prototype respectively, indicates a better performance for larger waveguide standards. In consistency with this observation, larger relative tolerances in manufacturing and difficulties in controlling a uniform metallization process are identified as the limiting factors of miniaturization. In the second part of this work, an alternative concept utilizing aluminum coating and a segmented manufacturing approach is developed, targeting reduced insertion loss but keeping the mechanical tolerance level. The redesign is based on the geometry of the prior WR90 prototype, but forming a plug-in kit with each body segment being clad in multiple thin layers of aluminum foil. The measurement results of these samples reveal the effects of increased conductivity and reduced irregularities in terms of significantly improved reflection and transmission parameters. The DUTs investigated in the third part of this work again originate from the initially manufactured variants. To investigate the effects of different metallic coatings, the copper varnish is now replaced by a silver based ink, which provides high conductivity and is therefore commonly used in additive manufacturing. The network measurements are repeatedly carried out with a varying number of layers of lacquer applications on the body's surface. By deembedding a singular part from the measurements, it is shown that increasing surface conductivity leads to a significant impact on transmission parameters. In direct comparison, the silver coated CWT outperforms both preceding variants with copper varnish or aluminum clad. With more than 95 % transmitted power, it is indeed competitive compared to the industrially manufactured WR90 CWT reference. To conclude, the study focuses on a comparison of three different additive manufacturing processes for equal hollow waveguide geometries at moderate frequencies. It proves that CWT parts are producible in a simple and rapid process. The production stages with the strongest impact on performance are identified and demonstrated to be controllable. The variant presented finally is able to achieve competitive performance compared to commercial-grade parts, especially when considering the enormous cost reduction. In addition, it is proven that the RF parameter extraction method for symmetric two-port networks presented earlier by the authors is also applicable when the DUT exhibits high insertion losses.
The central aim of this work is to demonstrate that additive manufacturing combined with low-cost metallization techniques can produce coaxial-waveguide transitions that approach the performance of industrial WR90 standards.
This novelty highlights the feasibility of achieving near-commercial-grade quality at a fraction of the cost, thereby extending the accessibility of high-frequency components to research and prototyping applications.
Techniques like speckle holography and shearography are rarely applied due to the complexity of instrument setup and lack of automated result analysis, despite their potential. By simulating speckle interferometric outcomes, we seek to address these challenges, enabling more efficient measurement processes and paving the way for automated defect recognition. This research focuses on developing a simulation code for speckle interferometric results derived from finite element analyses. The aim is to improve the parameter settings of speckle interferometry measurements and create specific datasets, which will be used to develop machine learning-based methods for automation in series production.
Cellular adhesion and contractility are essential for cell movement. In this study, we investigated the effects of actin stabilization on adhesion properties, contractility, and cell migration. For this, we used the recently synthesized actin stabilizer miuraenamide A (MiuA), which has been discussed as a more reliable alternative to the otherwise commonly used actin stabilizer jasplakinolide. We investigated the number and size of focal adhesions in RPE-1 cells and used single-cell force spectroscopy to evaluate the adhesion properties of those cells after MiuA treatment. We showed that MiuA increases the number of focal adhesions while decreasing their size and reduces adhesion energy and force. Additionally, we investigated its effects on the contractility of RPE-1 cells by measuring their contractile energy using pattern-based contractility screening (PaCS). We found no significant change in contractility after MiuA treatment. Finally, we confined RPE-1 cells in PDMS microchannels and analyzed their migration after treatment with MiuA, showing that neither their speed nor their persistence is affected by MiuA. To check that these effects are not specific to RPE-1 cells, we also analyzed the effects of MiuA treatment in MEF cells and neutrophils. Both MEF cells and neutrophils showed the same results as the RPE-1 cells. Our measurements indicate that, although altering focal adhesions significantly reduces adhesion, it does not impact cell contractility. This finding also clarifies why amoeboid migration, which operates independently of adhesion, remains unaffected. Additionally, it explains the previously observed reduction in mesenchymal migration, which relies on adhesion-based mechanisms.
Background: Electrical stimulation is an effective treatment method for improving motor function after stroke, but the optimal current type for patients with stroke and arm paresis remains unclear.
Objective: To compare the effects of kilohertz frequency with low-frequency current on stimulation efficiency, electrically induced force, discomfort, and muscle fatigue in patients with stroke.
Design: A randomized crossover study.
Setting: Neurological inpatient rehabilitation clinic in Germany.
Participants: A total of 23 patients with arm paresis after stroke within the last 6 months were recruited, 21 were enrolled, and 20 completed the study (7 females; mean ± SD: 66 ± 12 years; 176 ± 11 cm; 90 ± 19 kg; 57 ± 34 days since stroke).
Intervention: All patients underwent both kilohertz and low-frequency stimulation in a randomized order on 2 days (48-hour washout). Each day included a step protocol with a gradual increase in stimulation intensity, starting at the first measurable force (up to 12 steps, 1 mA increments, 8 seconds stimulation, 60 second rest) and a fatigue protocol (30 repetitions, 8 second stimulation, 3 second rest).
Main Outcome Measure: Primary outcome was stimulation efficiency (electrically induced force/stimulation intensity) [N/mA], measured during each step of the stepwise increase in current intensity protocol.
Results: Linear-mixed-effects models showed significantly higher stimulation efficiency for low-frequency stimulation (mean difference 0.14 [95% confidence interval, 0.01–0.27 N/mA], p = .031). However, current type did not significantly affect electrically induced force, level of discomfort, or muscle fatigue (p > .05).
Conclusion: The findings suggest that low-frequency stimulation is more efficient than kilohertz-frequency stimulation. However, both current types yield similar effects on force, discomfort, and fatigue, making them both viable options for wrist extensor stimulation in patients after stroke. Considering the variability among individuals, customizing the current type based on electrically induced force and perceived discomfort may enhance therapeutic outcomes. Further research on the long-term treatment effects of both current types is warranted.
A Two-Layer HiMPC Planning Framework for High-Renewable Grids: Zero-Exchange Test on Germany 2045
(2025)
High-renewables grids are planned in min but judged in milliseconds; credible studies must therefore resolve both horizons within a single model. Current adequacy tools bypass fast frequency dynamics, while detailed simulators lack multi-hour optimization, leaving investors without a unified basis for sizing storage, shifting demand, or upgrading transfers. We present a two-layer Hierarchical Model Predictive Control framework that links 15-min scheduling with 1-s corrective action and apply it to Germany’s four TSO zones under a stringent zero-exchange stress test derived from the NEP 2045 baseline. Batteries, vehicle-to-grid, pumped hydro and power-to-gas technologies are captured through aggregators; a decentralized optimizer pre-positions them, while a fast layer refines setpoints as forecasts drift; all are subject to inter-zonal transfer limits. Year-long simulations hold frequency within ±2 mHz for 99.9% of hours and below ±10 mHz during the worst multi-day renewable lull. Batteries absorb sub-second transients, electrolyzers smooth surpluses, and hydrogen turbines bridge week-long deficits — none of which violate transfer constraints. Because the algebraic core is modular, analysts can insert new asset classes or policy rules with minimal code change, enabling policy-relevant scenario studies from storage mandates to capacity-upgrade plans. The work elevates predictive control from plant-scale demonstrations to system-level planning practice. It unifies adequacy sizing and dynamic-performance evaluation in a single optimization loop, delivering an open, scalable blueprint for high-renewables assessments. The framework is readily portable to other interconnected grids, supporting analyses of storage obligations, hydrogen roll-outs and islanding strategies.