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"Schränkchen" im Wandel
(2023)
...und wie geht das genau?
(2021)
In our present paper, we approach the mixed problem with initial and boundary conditions, in the context of thermoelasticity without energy dissipation of bodies with a dipolar structure. Our first result is a reciprocal relation for the mixed problem which is reformulated by including the initial data into the field equations. Then, we deduce a generalization of Gurtin’s variational principle, which covers our generalized theory for bodies with a dipolar structure. It is important to emphasize that both results are obtained in a very general context, namely that of anisotropic and inhomogeneous environments, having a center of symmetry at each point.
This study is concerned with the linear elasticity theory for bodies with a dipolar structure. In this context, we approach transient elastic processes and the steady state in a cylinder consisting of such kind of body which is only subjected to some boundary restrictions at a plane end. We will show that at a certain distance d=d(t), which can be calculated, from the loaded plan, the deformation of the body vanishes. For the points of the cylinder located at a distance less than d, we will use an appropriate measure to assess the decreasing of the deformation relative to the distance from the loaded plane end. The fact that the measure, that assess the deformation, decays with respect to the distance at the loaded end is the essence of the principle of Saint-Venant.
A matter of reality
(2018)
Due to the increasing relevance of data, more and more data from various sources is accumulated for a variety of purposes. At the same time, however, there is a shortage of data in areas where it is urgently needed. Particularly in the field of machine learning, there is a lack of good and usable training data. Therefore, this research paper is concerned with the virtual data acquisition for the training of neural networks. For this purpose, first an application was developed that aims to generate virtual, automatically labeled data. Subsequently, a neural network was trained on the generated virtual data and tested on real data.
A Two-Day Case Study
(2021)
Diese Arbeit beschreibt die Aufstellung einer Trajektorie für ein autonomes Fahrzeug. Als Basis dient eine Vorarbeit, bei der ein neuronales Netz das Bild einer Frontkamera eines Autos in Fahrspur und Nicht-Fahrspur segmentiert. Darauf aufbauend wird das Bild zunächst in die Vogelperspektive transformiert. Anschließend folgen eine Detektion der Fahrspurkanten sowie ein Clustering-Verfahren, um linke und rechte Kantenabschnitte zu separieren. Weiter wird die Trajektorie diskret in Form von Parametern des Kreisbogenmodells aufgenommen. Die Prädiktion dieser Parameter erfolgt mittels eines Extended Kalman-Filters. Die abschließende Validierung der Algorithmen erfolgt durch eine synthetisch generierte Fahrspur.
Accelerated Life Cycle Analysis of Lithium-Ion-Batteries under Different Fast-charging Algorithms
(2023)
Acceptance of E-Motorcycles
(2023)
Additive manufacturing offers unique possibilities to produce complex components, which would not be possible or only very difficult to be realizable with conventional manufacturing processes. The potential of additive manufacturing of aluminum alloys has already been realized in prototyping, but still offers potential in the establishment of series applications. For enabling the establishment of additive manufacturing in series applications, comprehensive knowledge about the material behavior is necessary. This study examines the torsional behavior of additive manufactured AlSi10Mg samples and shows the correlation between tensile and torsional strength. Comprehensive torsion tests with strain gauges were performed and significant directional dependencies were shown. The correlation factor in the area of torsional yield strength/tensile yield strength and torsional strength/tensile strength was determined and was compared with the yield/failure conditions according to Tresca and von Mises.
Alles, was Rollen hat
(2022)
AMEE Consensus Statement
(2021)
Herein, the general constitutive equation of bi-phasic materials equipped with orientation tensor is presented in direct notation. The formulation is refined by some correction factors specific to natural fibre-reinforced composites; then, a planar case is derived. The necessity of local information is emphasised through the introduction of auxiliary maps, which included volume fraction and orientation data. A semi-analytical homogenisation method is introduced through finite element analysis. Auxiliary maps are shown to be a better alternative to the overall orientation of fibres. Global calculations are insensitive to local variations whilst appropriate auxiliary maps offer refined results. Considering the multidisciplinary application of orientation tensors, the proposed scheme can be used in all areas where local information cannot be disregarded.
Analyse der Wirksamkeit des Harninkontinenzmanagements in einer geriatrischen Rehabilitationsklinik
(2020)
Antragsbefugnis gemeinsam sorgeberechtigter Eltern im einstweiligen Rechtsschutz gegen Inobhutnahme
(2023)
Approach to denoising of interfered 4-channel FMCW radar data using Convolutional Neural Network
(2023)
Approach to denoising of interfered 4-channel FMCW radar data using Convolutional Neural Network
(2023)
Aufbruch ins Ungewisse?!
(2023)
Aus der Krise lernen
(2022)
Chances and risks of industry 4.0 for quality assurance - empirical study on companies in the german manufacturing industry. The increasing complexitiy of products as well as the trend to more individualized products lay down enormous tasks on the manufacturing industry. They can only be managed by using industry 4.0 methods. In this context, digitization is implemented in quality assurance, too - fostering a significant increase in product and process quality. The presendt study reveals the current state of digitalization and the opportunities and challenges associated with it - in the view of experts and decision makers of the manufacturing industry.
Comparing multidimensional sensor data from vehicle fleets with methods of sequential data mining
(2020)
Electrochemical strain microscopy (ESM) is a powerful atomic force microscopy (AFM) mode for the investigation of ion dynamics and activities in energy storage materials. Here we compare the changes in commercial LiFePO4 cathodes due to ageing and its influence on the measured ESM signal. Additionally, the ESM signal dynamics are analysed to generate characteristic time constants of the diffusion process, induced by a dc-voltage pulse, which changes the ionic concentration in the material volume under the AFM tip. The ageing of the cathode is found to be governed by a decrease of the electrochemical activity and the loss of available lithium for cycling, which can be stored in the cathode.