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Micro and nanoplastics (MNP) a wish list for reliable determination of the risks for humans
No full textThe assessment of risks to human health from micro- and nanoplastics (MNPs) and their associated chemicals is hampered by significant uncertainties and data gaps regarding human exposure, biological fate and potential health effects. There is also a notable lack of validated test MNPs, natural particles to serve as reference controls, and lack of harmonised toxicological assessment methods specifically designed for the unique properties of MNPs.
These limitations contribute to data scarcity and further complicate exposure and hazard assessment for MNP and their associated chemicals. The European research cluster CUSP (https://cusp-research.eu/) aims to fill these gaps by providing reliable data and suggests approaches for assessing human exposure and health risks associated with MNPs and their associated chemicals, including contaminants. As part of this initiative, five projects address the health risks of MNPs from different perspectives, focusing on different exposure pathways and health effects. In particular, the PlasticsFatE project (https://www.plasticsfate.eu/) structures the data requirements and developes strategies to overcome both general and material-specific barriers to MNP in hazard and risk assessment. Based on safety research on engineered nanomaterials, which has shown that it is impossible to experimentally test all MNP variants and their chemical mixtures, CUSP emphasises the need for pragmatic approaches. These approaches aim to effectively utilize knowledge from nanomaterial research, emphasize the reuse of generated data on fate and effects of MNPs, as well as identify and address data and knowledge gaps along with uncertainties, while considering the specific properties of MNPs and test approaches.
This poster provides a structured overview of the current challenges in the risk assessment of micro- and nanoplastics and introduces the first step of categorising the different types of obstacles. Specific strategies to overcome these different types of challenges will be presented
Expertise oder KI – Was hilft uns in der ZfP'?
No full textDie zunehmende Integration von Automatisierung und KI in die zerstörungsfreie Prüfung (ZfP) verändert nicht nur die Prüfprozesse selbst, sondern auch die Art und Weise, wie Entscheidungen getroffen werden. Während technische Systeme die Fehleranfälligkeit verringern und die Datenverarbeitung unterstützen können, bleibt die letztendliche Verantwortung beim Menschen. Dieser Beitrag untersucht die Rolle der Intuition in der Entscheidungsfindung und analysiert typische Fehleinschätzungen mithilfe der Prospekttheorie und Erkenntnissen aus der kognitiven Psychologie. Zudem wird aufgezeigt, wie fundierte Entscheidungen in KI-gestützten ZfP Prozessen unterstützt werden können – durch Schulung, erklärbare Systeme, nutzerzentrierte Gestaltung, geeignete Metriken und eine gezielte Aufgabenverteilung zwischen Mensch und Technik
Anwendung der Feuerverzinkung zum Korrosionsschutz im Stahlwasserbau
No full textFeuerverzinken bietet im Bereich des Wasserbaus potenzial die Nutzungsdauer von Stahlwerkstoffen signifikant zu verbessern. Hierzu gibt es jedoch keine Prüfprozedur die eine Zulassung gem. BAW für die Nutzung im Verwaltungsbereich der WSV zuzulassen
Management of Reference Data of Creep of Ni-Based Superalloys Exemplified for CMSX-6
No full textThe identification of process-structure-property relationships of materials inevitably requires the combination of research data from different measurements. Therefore, the concepts related to FAIR (findable, accessible, interoperable, reusable) data handling, increasingly reported in literature, are particularly important in the materials science and engineering domain. However, they have not yet been integrated into a single, overarching methodological framework, particularly for reference data. Here, we introduce such a framework, which covers data generation, documentation, handling, storage, sharing, data search and discovery, retrieval, and usage. Furthermore, we prototypically implement it using a real dataset with creep data of a single-crystal CMSX-6 Ni-based superalloy. The implementation is traceable and permanently accessible through open repositories. The individual elements considered in the framework ensure the functionality and usability of the data and, thus, the adherence to the FAIR principles. In conjunction with this, we present a definition for reference data of materials. Our definition underlines particularly the importance of a comprehensive documentation, e.g., on material provenance, data processing procedures, and the software and hardware used, including software-specific input parameters, as these details enable data users or independent parties to assess the quality of the datasets and to reuse and reproduce the results. Reference data that is managed according to the proposed framework can be used to advance knowledge in the materials science and engineering domain, e.g., by identifying new process-structure-property relations
Moisture testing and mapping
No full textMost building materials are porous and hydrophilic. Thus, for condition assessment and damage detection a determination of the material moisture is required. In this lecture, a short overview is given regarding moisture transport in porous media in the hygroscopic range. Then, several non-destructive measurement techniques are introduced. Here, the focus lies on their practical application and limitations
Automated Repair of Gas Turbine Blades Using DED-Arc
No full textGas turbine blades are critical components in aerospace and power generation, often subject to wear, erosion, and fatigue-induced damage. Traditional repair methods are labor-intensive, costly, prone to inconsistencies, and not rapidly adaptable. This work presents an automated approach for repairing gas turbine blade tips using Wire and Arc Directed Energy Deposition (DED-Arc) in combination with a high-precision point to point registration technique of laser line triangulation (LLT) 3D scans. The proposed workflow begins with affixation of the milled down turbine blade to a work piece manipulator using a 3D printed clamping mechanism and a rough alignment of the turbine tip. Subsequently, the turbine blade’s geometry is acquired using a fully integrated 3D laser triangulation sensor, transforming, and aggregating the captured 2D line data into a 3D scan in the working user coordinate system using live feedback data from a finely calibrated industry robot. This point cloud representation of the real-world turbine blade is then used as the target during an advanced point-to-point shape registration technique transforming the digital representation of the repair process containing all relevant tool path and geometry data into the coordinate system of the real-world turbine blade. Afterwards, the turbine tip is then iteratively repaired whereby the turbine tip geometry is divided into differentiated sections, each with its own optimized process parameter set.
A key innovation in this approach is the adaptability of the repair process through a closed-loop monitoring system. After each DED-Arc deposition, a 3D scan is performed to document the deposited geometry, to detect the interaction of the different process parameter sets, to activate an intervention if necessary, and calculate subsequent tool paths based on current geometry data.
The results indicate that the combination of precise 3D scan registration with DED-Arc is a viable solution for the industrial-scale repair of gas turbine blades leading to significant reduction in labor, tooling, process, and time related cost
Water absorption effects on distributed temperature sensing using polyimide-coated optical fiber
No full textPolyimide-coated fibers are becoming more popular for distributed temperature sensing (DTS) because this coating can withstand much higher temperatures than the standard acrylate coating. As a hygroscopic material, polyimide can absorb water from the air, changing its properties, which may result in a modified temperature response of the sensing fiber. This study investigates the effect of water absorption on the performance of polyimide-coated optical fibers with different sizes and properties. The thermal response of these fibers was determined experimentally from 20°C to 90°C at a broad relative humidity level ranging from 10% to 90%. The results show that all the fibers experienced a decrease in temperature sensitivity as humidity increased, with the most noticeable non-linear spectral shift observed at higher humidity levels. These findings highlight the importance of optimizing fiber design and coating properties to balance stability and sensitivity, ensuring the reliable performance of DTS systems under extreme environmental conditions
A novel methodology for indirect application of hydrophobic agents into cement matrix: Superabsorbent polymers (SAPs) as a delivery medium
No full textHydrophobic agents are one of the most commonly used means of prolonging the lifespan of cement-based materials. However, when water-repellent is added to the batch water it can interfere with cement hydration leading to deteriorated mechanical properties of the hardened material. To eliminate this drawback, a novel methodology of indirectly applying hydrophobic agents to cement-based materials is introduced. The presented approach uses super absorbent polymers (SAPs) as a delivery medium. SAP containing water-repellent is added to the fresh cement mixture, which ensures a gradual release of the admixture. The release is driven either by drying which generates moisture gradient or by compression of polymer particles by hydrates arising in their vicinity. Such mechanisms lead to a delayed dosage of the hydrophobic agent, which is when the partially hardened cement matrix is less vulnerable to interference compared to the fresh mixture. The effectiveness of the proposed methodology was verified in the extensive experimental program. Cement mortars of two water-to-cement ratios (0.4, and 0.5) were tested in terms of compressive strength, capillary absorption, and contact angle among others. Based on the obtained results it is concluded that the proposed methodology limits the negative impact of the hydrophobic agent on cement hydration. The mechanical performance of the samples modified with the indirectly dosed admixture is improved compared to the conventionally hydrophobized material in each analysed case. The results of isothermal calorimetry support the thesis. Additionally, the effectiveness of imparting hydrophobic characteristics to the cement matrix was as good as in the case of the conventional dosing. The mercury intrusion porosimetry, as well as thermogravimetric tests, were run to provide a deeper insight into the microstructure and composition of the modified material. Scanning electron microscopy was used to give a better insight into samples’ morphology. The novel methodology presented can also potentially be used
to dose other types of admixtures that can interfere with cement hydration
X-ray emission during ultrashort pulse laser material processing
No full textThe unwanted emission of X-rays during ultrashort pulse laser material processing in air was already reported more than 20 years ago for pulse repetition rates in the 1 kHz range [1]. It was stated that an enclosure of the experimental setup is necessary to protect the operator from X-rays. By now, the use of ultrashort pulse laser technology has become established in industry using repetition rates in the multi 100 kHz up to the GHz range and laser average powers up to the kW level. Since 2018/2019, more and more investigations have been carried out on the hazards from X-rays at higher laser pulse repetition rates [2-4]. Recently, maximum X-ray skin dose rates of the order of 1 Sv/h (iron target [5]) and X-ray photon energies of up to 40 keV (tungsten target [6]) were reported. Measures must be taken to shield the unwanted X-rays
A Comparative Study of Rigid Three-Dimensional Image Registration Methods for Powder Bed Fusion with Laser Beam of Metals Using a Gold Standard Approach
No full textIn Additive Manufacturing (AM), precise rigid three-dimensional (3D) image registration between X-ray Computed Tomography (XCT) scans and Computer-Aided Design (CAD) models is an important step for the quantification of distortions in produced parts. Given the absence of standardized benchmarks for image registration in AM, we introduce a gold standard for 3D image registration, using a reference base plate beneath the build structure. This gold standard is used to quantify the accuracy of rigid registration, with a proof of concept demonstrated in PBF-LB/M. In this study, we conduct a comparative analysis of various rigid 3D registration methods useful for quality assurance of PBF-LB/M parts including feature-based, intensity-based, and point cloud-based approaches. The performance of each registration method is evaluated using measures of alignment accuracy based on the gold standard and computational efficiency. Our results indicate significant differences in the efficacy of these methods, with point cloud based Coherent Point Drift (CPD) showing superior performance in both alignment and computational efficiency. The rigidly registered 3D volumes are used to estimate the deformation field of the printed parts relative to the nominal CAD design using Digital Volume Correlation (DVC). The quality of the estimated deformation field is assessed using the Dice score metric. This study provides insights into methods for enhancing the precision and reliability of AM process