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.

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.

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.

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

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

In this dissertation, I will present the studies conducted during my doctoral studies. In spite of a lot of research in the last decades, the complex cognitive processes underlying human memory are not fully unraveled. Furthermore, the development of neuroscientific methods like functional mag-netic resonance imaging (fMRI) and event-related potentials (ERPs) have further build a founda-tion for new insights. Naturally, the utilization of these techniques led to further adaptation of both these techniques and the paradigms in which they have been employed. This can be observed in the research literature on episodic memory retrieval. Familiarity and recollection, have been found to be the chief factors at play during memory retrieval. The two processes have been thoroughly characterized in several studies and reviews (e.g., Mecklinger, 2000; Rugg & Curran, 2007; Yonelinas, 2002; Zimmer & Ecker, 2010), yet there are still open questions that have to be ad-dressed by researchers in this field (c.f., Leynes, Bruett, Krizan, & Veloso, 2017; MacLeod & Donaldson, 2017). In order to answer these questions, we conducted several studies during my doctoral studies. In Study 1, we developed a paradigm to investigated episodic memory using ERPs. In the study phase, pictorial stimuli were presented which at test were either perceptually identical, perceptually changed, or entirely new. Data collected from a sample of young adults revealed that the paradigm was suitable to elicit ERP correlates of both familiarity and recollection. As the newly developed paradigm yielded similar results as existing literature, we then applied this paradigm in two devel-opmental populations, second-graders and fifth-graders. According to the ERPs, the younger chil-dren seemed to rely on recollection alone, whereas ERPs of older children suggested the use of familiarity for perceptually identical items and only after intentional encoding. In a follow-up study two years later, we used the results from both studies to only slightly refine the paradigm, again administering it to young adults. In this study, Study 3, we found that ERP correlates were much smaller than in the earlier studies, hence we used a data-driven approach to detect time windows of interest. In spite of the large body of research on episodic memory, these studies serve to demon-strate that episodic memory is a complex interplay of several contributing cognitive processes which need to assessed carefully in order to unravel the key factors at play during familiarity and recollection.

In today’s computer networks we see an ongoing trend towards wireless communication technologies, such as Wireless LAN, Bluetooth, ZigBee and cellular networks. As the electromagnetic spectrum usable for wireless communication is finite and largely allocated for exclusive use by respective license holders, there are only few frequency bands left for general, i.e. unlicensed, use. Subsequently, it becomes apparent, that there will be an overload situation in the unlicensed bands, up to a point where no communication is possible anymore. On the other hand, it has been observed that licensed frequency bands often go unused, at least at some places or over time. Mitola combined both observations and found the term Cognitive Radio Networks [Mit00], denoting a solution for spectrum scarcity. In this concept, so called Secondary Users are allowed to also use licensed bands (attributed to a Primary User) as long as it is vacant. In such networks, all obligations reside with Secondary Users, especially, they must avoid any interference with the Primary User. They must therefore reliably sense the presence of Primary Users and must decide which available spectrum to use. These two functionalities are called Spectrum Sensing and Spectrum Mobility and describe 2 out of 4 core functionalities of Cognitive Radio Networks and are considered in this thesis. Regarding Spectrum Sensing, we present our own approach for energy detection in this thesis. Energy detection essentially works by comparing measured energy levels to a threshold. The inherent problem is on how to find such thresholds. Based on existing work we found in literature, we improve techniques and assert the effectiveness of our additions by conducting real world experiments. Regarding Spectrum Mobility, we concentrate on the point, where the Primary User shows up. At this point, nodes must not use the current channel anymore, i.e. they also have no possibility to agree on another channel to switch to. We solve this problem by employing channel switching, i.e. we change channels proactively, following a schedule shared by all nodes of the network. The main contribution of this thesis is on how to synthesize those schedules to guarantee robust operation under changing conditions. For integration, we considered three dimensions of robustness (of time, of space and of channel) and, based on our algorithms and findings, defined a network protocol, which addresses perturbation within those dimensions. In an evaluation, we showed that the protocol is actually able to maintain robust operation, even if there are large drops in channel quality.

Designing exotic structures in low dimensions is key in today’s quest to tailor novel quantum states in materials with unique symmetries. Particularly intriguing materials in this regard are low dimensional aperiodic structures with non-conventional symmetries that are otherwise forbidden in translation symmetric crystals. In our work, we focus on the link between the structural and electronic properties of aperiodically ordered aromatic molecules on a quasicrystalline surface, which has largely been neglected so far. As an exemplary case, we investigate the self-assembly and the interfacial electronic properties of the nano-graphene-like molecule coronene on the bulk truncated icosahedral (i) Al–Pd–Mn quasicrystalline surface using multiple surface sensitive techniques. We find an aperiodically ordered coronene monolayer (ML) film on the i-Al–Pd–Mn surface that is characterized by the same local motifs of the P1 Penrose tiling model as the bare i-Al–Pd–Mn surface. The electronic valence band structure of the coronene/i-Al–Pd–Mn system is characterized by the pseudogap of the bare i-Al–Pd–Mn, which persists the adsorption of coronene confirming the quasiperiodic nature of the interface. In addition, we find a newly formed interface state of partial molecular character that suggests an at least partial chemical interaction between the molecule and the quasicrystalline surface. We propose that this partial chemical molecule–surface interaction is responsible for imprinting the quasicrystalline order of the surface onto the molecular film.

CRISPR/Cas has become the state-of-the-art technology for genetic manipulation in diverse organisms, enabling targeted genetic changes to be performed with unprecedented efficiency. Here we report on the first establishment of robust CRISPR/Cas editing in the important necrotrophic plant pathogen Botrytis cinerea based on the introduction of optimized Cas9-sgRNA ribonucleoprotein complexes (RNPs) into protoplasts. Editing yields were further improved by development of a novel strategy that combines RNP delivery with cotransformation of transiently stable vectors containing telomeres, which allowed temporary selection and convenient screening for marker-free editing events. We demonstrate that this approach provides superior editing rates compared to existing CRISPR/Cas-based methods in filamentous fungi, including the model plant pathogen Magnaporthe oryzae. Genome sequencing of edited strains revealed very few additional mutations and no evidence for RNP-mediated off-targeting. The high performance of telomere vector-mediated editing was demonstrated by random mutagenesis of codon 272 of the sdhB gene, a major determinant of resistance to succinate dehydrogenase inhibitor (SDHI) fungicides by in bulk replacement of the codon 272 with codons encoding all 20 amino acids. All exchanges were found at similar frequencies in the absence of selection but SDHI selection allowed the identification of novel amino acid substitutions which conferred differential resistance levels towards different SDHI fungicides. The increased efficiency and easy handling of RNPbased cotransformation is expected to accelerate molecular research in B. cinerea and other fungi.

Nanoindentation simulations are performed for a Ni(111) bi-crystal, in which the grain boundary is coated by a graphene layer. We study both a weak and a strong interface, realized by a 30∘ and a 60∘ twist boundary, respectively, and compare our results for the composite also with those of an elemental Ni bi-crystal. We find hardening of the elemental Ni when a strong, i.e., low-energy, grain boundary is introduced, and softening for a weak grain boundary. For the strong grain boundary, the interface barrier strength felt by dislocations upon passing the interface is responsible for the hardening; for the weak grain boundary, confinement of the dislocations results in the weakening. For the Ni-graphene composite, we find in all cases a weakening influence that is caused by the graphene blocking the passage of dislocations and absorbing them. In addition, interface failure occurs when the indenter reaches the graphene, again weakening the composite structure.