The 10 most recently published documents
Die Verwendung von Sheet-Molding-Compounds (SMCs) unter dauerhaft wirkenden
statischen Lasten und erhöhten Temperaturen lässt die Frage nach der Materialkriechneigung
aufkommen. Während der Kriecheffekt bisher viel Aufmerksamkeit im thermoplastischen
Polymerbereich erhielt, zeigt diese Arbeit auf, dass auch duroplastische,
wirrfaserverstärkte Matrixsysteme von dem Phänomen in kritischen Größenordnungen
betroffen sein können. Es wurden Kriechuntersuchungen an einem glas- und einem
carbonfaserverstärkten SMC durchgeführt. Die Untersuchungen wurden bei einer
Temperatur von 120 °C durchgeführt, welche von einer möglichen Anwendung in einem
E-Motor herrührt. Die Charakterisierung des Kriechens in der Faserebene zeigte
die Schwierigkeit einer zuverlässigen Kriechversagensvorhersage bei der Beanspruchung
in der Faserebene auf. Kriechdehnungsverläufe zeigen deutliche Unterschiede
bei Beanspruchung auf Zug und Druck bei den vorgestellten Wirrfasermaterialien.
Gängige FE- (Finite Elemente) Anwendungen sind, wie Untersuchungen in dieser Arbeit
feststellen, über Standardverfahren nicht in der Lage, zuverlässige Kriechvorhersagen
von Faserkunststoffverbundbauteilen bei einer Mischbeanspruchung vorherzusagen.
Es wurden mögliche Implementierungsansätze für FE-Programme vorgeschlagen,
um eine beschriebene Kriechvorhersage zu bewerkstelligen.
Es wurde jedoch herausgefunden, dass die isotrope Kriechmodellierung, welche in
gängigen FE-Programmen bereits implementiert ist, bei uniaxialem Spannungszustand
im eigentlich anisotropen SMC-Material verwendbar ist. Ein solcher uniaxialer
Spannungszustand mit relevantem Anwendungsszenario ist beispielsweise bei Verschraubungen
vorhanden. Die Druckbeanspruchung im Faserkunststoffverbundmaterial
durch die Schraubenvorspannkraft führt zu einem Kriechen in Dickenrichtung. Die
Charakterisierung des Kriechens in Dickenrichtung ermöglichte die zuverlässige Vorhersage,
der über die Zeit schwindenden Vorspannkraft von verschraubten SMC-Testplatten.
Vorteilhaft ist hier, für die künftige Auslegung von verschraubten SMC-Verbindungselementen,
dass die Kriechuntersuchungen für die verwendete Materialkarte in
der Simulation vergleichbar geringen Versuchsaufwand benötigen. Die Messung kann
in einer Universalprüfmaschine durchgeführt werden. Die Basis für die Kriechmessdaten
bildeten zwei Druckversuche an gestackten Coupons über einen Zeitraum von je
84 h.Die Extrapolation dieser Messdaten ermöglicht eine zuverlässige Schraubenkraftvorhersage für Zeiten von (mindestens) 1000 h. Die Kriechmessdaten
wurden mit dem Norton-Bailey-Kriechgesetz approximiert. Das Norton-Bailey-Kriechgesetz
ist standardmäßig in allen gängigen FE-Programmen verwendbar, was dem
Anwender eine einfache Berechnung ermöglicht.
The 22 wt.% Cr, fully ferritic stainless steel Crofer®22 H has higher thermomechanical
fatigue (TMF)- lifetime compared to advanced ferritic-martensitic P91, which is assumed to be caused
by different damage tolerance, leading to differences in crack propagation and failure mechanisms.
To analyze this, instrumented cyclic indentation tests (CITs) were used because the material’s
cyclic hardening potential—which strongly correlates with damage tolerance, can be determined
by analyzing the deformation behavior in CITs. In the presented work, CITs were performed for
both materials at specimens loaded for different numbers of TMF-cycles. These investigations show
higher damage tolerance for Crofer®22 H and demonstrate changes in damage tolerance during
TMF-loading for both materials, which correlates with the cyclic deformation behavior observed in
TMF-tests. Furthermore, the results obtained at Crofer®22 H indicate an increase of damage tolerance
in the second half of TMF-lifetime, which cannot be observed for P91. Moreover, CITs were performed
at Crofer®22 H in the vicinity of a fatigue crack, enabling to locally analyze the damage tolerance.
These CITs show differences between crack edges and the crack tip. Conclusively, the presented
results demonstrate that CITs can be utilized to analyze TMF-induced changes in damage tolerance.
A novel shadowgraphic inline probe to measure crystal size distributions (CSD),
based on acquired greyscale images, is evaluated in terms of elevated temperatures and fragile
crystals, and compared to well-established, alternative online and offline measurement techniques,
i.e., sieving analysis and online microscopy. Additionally, the operation limits, with respect to
temperature, supersaturation, suspension, and optical density, are investigated. Two different
substance systems, potassium dihydrogen phosphate (prisms) and thiamine hydrochloride (needles),
are crystallized for this purpose at 25 L scale. Crystal phases of the well-known KH2PO4/H2O system
are measured continuously by the inline probe and in a bypass by the online microscope during
cooling crystallizations. Both measurement techniques show similar results with respect to the crystal
size distribution, except for higher temperatures, where the bypass variant tends to fail due to
blockage. Thiamine hydrochloride, a substance forming long and fragile needles in aqueous solutions,
is solidified with an anti-solvent crystallization with ethanol. The novel inline probe could identify
a new field of application for image-based crystal size distribution measurements, with respect
to difficult particle shapes (needles) and elevated temperatures, which cannot be evaluated with
common techniques.
One of the ongoing tasks in space structure testing is the vibration test, in which a given structure is mounted onto a shaker and excited by a certain input load on a given frequency range, in order to reproduce the rigor of launch. These vibration tests need to be conducted in order to ensure that the devised structure meets the expected loads of its future application. However, the structure must not be overtested to avoid any risk of damage. For this, the system’s response to the testing loads, i.e., stresses and forces in the structure, must be monitored and predicted live during the test. In order to solve the issues associated with existing methods of live monitoring of the structure’s response, this paper investigated the use of artificial neural networks (ANNs) to predict the system’s responses during the test. Hence, a framework was developed with different use cases to compare various kinds of artificial neural networks and eventually identify the most promising one. Thus, the conducted research accounts for a novel method for live prediction of stresses, allowing failure to be evaluated for different types of material via yield criteria
In this paper, the effect of shot peening and cryogenic turning on the surface morphologyof the metastable austenitic stainless steel AISI 347 was investigated. In the shot peeningprocess, the coverage and the Almen intensity, which is related to the kinetic energy of thebeads, were varied. During cryogenic turning, the feed rate and the cutting edge radiuswere varied. The manufactured workpieces were characterized by X-ray diffractionregarding the phase fractions, the residual stresses and the full width at half maximum.The microhardness in the hardened surface layer was measured to compare the hardeningeffect of the processes. Furthermore, the surface topography was also characterized. Thenovelty of the research is the direct comparison of the two methods with identical work-pieces (same batch) and identical analytics. It was found that shot peening generally leadsto a more pronounced surface layer hardening, while cryogenic turning allows the hard-ening to be realized in a shorter process chain and also leads to a better surface topog-raphy. For both hardening processes it was demonstrated how the surface morphology canbe modified by adjusting the process parameter.
We have investigated urine samples after coffee consumption using targeted and untargeted
approaches to identify furan and 2-methylfuran metabolites in urine samples by UPLC-qToF.
The aim was to establish a fast, robust, and time-saving method involving ultra-performance
liquid chromatography-quantitative time-of-flight tandem mass spectrometry (UPLC-qToF-MS/MS).
The developed method detected previously reported metabolites, such as Lys-BDA, and others that
had not been previously identified, or only detected in animal or in vitro studies. The developed
UPLC-qToF method detected previously reported metabolites, such as lysine-cis-2-butene-1,4-dial
(Lys-BDA) adducts, and others that had not been previously identified, or only detected in animal
and in vitro studies. In sum, the UPLC-qToF approach provides additional information that may be
valuable in future human or animal intervention studies.
Financing measures and incentive schemes for (existing and new) building owners can promote the sustainable settlement development of rural regions or municipalities and, in a wider sense, entire countries or cross-border regions. In order to be used on a broad scale, the concept of revolving funds must continue to be further developed. In this research, the concept of an advanced revolving housing fund (ARF) for building owners to support the sustainable development of rural regions and potential mechanisms are introduced. The ARF is designed to reflect impacts and challenges with regard to rural regions in Germany, Europe and beyond. Based on New Institutional Economics, the Theory of Spatial Organisms, an expert workshop, interviews and discussions and further literature research, the fundamentals for incentive schemes and the essential mechanisms and design aspects of the ARF are derived. This includes the principal structure and governance of a holding fund and several regional funds. Based on this, input parameters for the financial modelling of an ARF are presented as well as guiding elements for empirical testing to promote more research in this area. It is found that the ARF should have a regional focus and must be a comprehensive instrument of settlement development with additional informal and formal measures. The developed concept promises new impulses, in particular, for rural regions. It is proposed to test the concept by means of case studies in pioneer regions of different countries
Kinetic models of human motion rely on boundary conditions which are defined by the interaction of the body with its environment. In the simplest case, this interaction is limited to the foot contact with the ground and is given by the so called ground reaction force (GRF). A major challenge in the reconstruction of GRF from kinematic data is the double support phase, referring to the state with multiple ground contacts. In this case, the GRF prediction is not well defined. In this work we present an approach to reconstruct and distribute vertical GRF (vGRF) to each foot separately, using only kinematic data. We propose the biomechanically inspired force shadow method (FSM) to obtain a unique solution for any contact phase, including double support, of an arbitrary motion. We create a kinematic based function, model an anatomical foot shape and mimic the effect of hip muscle activations. We compare our estimations with the measurements of a Zebris pressure plate and obtain correlations of 0.39≤r≤0.94 for double support motions and 0.83≤r≤0.87 for a walking motion. The presented data is based on inertial human motion capture, showing the applicability for scenarios outside the laboratory. The proposed approach has low computational complexity and allows for online vGRF estimation.
Solar radiation data is essential for the development of many solar energy applications ranging from thermal collectors to building simulation tools, but its availability is limited, especially the diffuse radiation component. There are several studies aimed at predicting this value, but very few studies cover the generalizability of such models on varying climates. Our study investigates how well these models generalize and also show how to enhance their generalizability on different climates. Since machine learning approaches are known to generalize well, we apply them to truly understand how well they perform on different climates than they are originally trained. Therefore, we trained them on datasets from the U.S. and tested on several European climates. The machine learning model that is developed for U.S. climates not only showed low mean absolute error (MAE) of 23 W/m2, but also generalized very well on European climates with MAE in the range of 20 to 27 W/m2. Further investigation into the factors influencing the generalizability revealed that careful selection of the training data can improve the results significantly
Potassium (K) is essential for the processes critical for plant performance, including photosynthesis, carbon assimilation, and response to stress. K also influences translocation of sugars in the phloem and regulates sucrose metabolism. Several plant species synthesize polyols and transport these sugar alcohols from source to sink tissues. Limited knowledge exists about the involvement of K in the above processes in polyol-translocating plants. We, therefore, studied K effects in Plantago major, a species that accumulates the polyol sorbitol to high concentrations. We grew P. major plants on soil substrate adjusted to low-, medium-, or high-potassium conditions. We found that biomass, seed yield, and leaf tissue K contents increased in a soil K-dependent manner. K gradually increased the photosynthetic efficiency and decreased the non-photochemical quenching. Concomitantly, sorbitol levels and sorbitol to sucrose ratio in leaves and phloem sap increased in a K-dependent manner. K supply also fostered plant cold acclimation. High soil K levels mitigated loss of water from leaves in the cold and supported cold-dependent sugar and sorbitol accumulation. We hypothesize that with increased K nutrition, P. major preferentially channels photosynthesis-derived electrons into sorbitol biosynthesis and that this increased sorbitol is supportive for sink development and as a protective solute, during abiotic stress
