Publications
Voici les éléments 1881-1900 de 2508
QoS-Based Optimization of Runtime Management of Sensing Cloud Applications
(2022)
IoT applications perceive and interact with the environment via smart devices and cloud services. When operating such applications one is faced with the challenge of configuring the smart devices and the cloud services in ...
Consequences of hydroxyl generation by the silica/water reaction
(2022)
Water diffusing into silica surfaces gives rise for several effectson diffusion behaviour and mechanical properties. Water added to silica glass increases its specific volume so that the silica expands near the surface. ...
Dynamische Charakteristik von Eisenbahnrahmenbrücken
(2024)
Railway bridges are subject to dynamic loads caused by train crossings. To assess the risk of resonance, the dynamic properties are analysed using FE simulations. The identification of the dynamic system often proves to ...
Möglichkeiten und klimarelevante Auswirkungen der stofflichen Nutzung von Kohlenstoffdioxid
(2022)
Energy transition and climate protection cause extensive changes in the German energy supply. In this context, there is an additional interest in the material utilization of carbon dioxide. The possible contributions to ...
Deep material networks for efficient scale-bridging in thermomechanical simulations of solids
(2023)
We investigate deep material networks (DMN). We lay the mathematical foundation of DMNs and present a novel DMN formulation, which is characterized by a reduced number of degrees of freedom. We present a efficient solution ...
Indirekte Schätzung des Fahrbahnnässegrads zur Detektion von gefährlichen Fahrzuständen
(2023)
An estimation of the road wetness level supports the driver as well as the vehicle to maneuver safely. This study presents the fundamentals of a system that uses structure-borne sound measurements at various positions on ...
Automatisierte, minimalinvasive Sicherheitsanalyse und Vorfallreaktion für industrielle Systeme
(2022)
Automated defense and prevention measures designed to protect industrial automation and control systems often compromise their real-time processing, resilience and redundancy. Therefore, they need to be performed as ...
Assistenzsysteme zur Reduktion des Schädigungsverhaltens von Komponenten einer mobilen Arbeitsmaschine
(2021)
In this work, modular damage reduction assistance systems are investigated. Identification modules provide information about the current driving and working state, the machine operator, the bulk material mass and system ...
Fiber-dependent injection molding simulation of discontinuous reinforced polymers
(2022)
This work presents novel simulation techniques for injection molding of fiber reinforced polymers. These include approaches for anisotropic flow modeling, hydrodynamic forces from fluid on fibers, contact forces between ...
Effizienzoptimierung mobilhydraulischer Load-Sensing-Systeme durch Reduzierung systembedingter Druckverluste am Beispiel eines Hydraulikbaggers
(2024)
In this thesis, a hydraulic circuit will be developed, which can reduce the partial load losses of hydraulic-mechanic load-sensing systems (LS). As reference application, the LS system of an hydraulic excavator will be ...
Roboter für Assistenzfunktionen
(2024)
The performance and flexibility of robot technologies make it possible to bring robots to everyday life. This creates many challenges: safety, legal regulations, reliability, reusability, and business models must be ...
Datensouveränität für Betroffene über persönliche medizinische Daten durch technische Umsetzung einer datenschutzgerechten Forschungsplattform
(2024)
Digitalization in the healthcare sector is progressing more and more.
This is leading to an increase in data that is available for secondary uses such as research.
Due to regulation, there is a tension between research ...
Flottendatenbasierte physikalische Routenenergiebedarfsprognose
(2024)
To work towards climate goals with energetic planning functions in electric vehicles, a precise energy demand forecast along planned routes is essential, which separately quantifies relevant influences. For that this work ...
Principles of Catastrophic Forgetting for Continual Semantic Segmentation in Automated Driving
(2024)
Deep learning excels at extracting complex patterns but faces catastrophic forgetting when fine-tuned on new data. This book investigates how class- and domain-incremental learning affect neural networks for automated ...
Der Spröd-duktil-Übergang in ultrafeinkörnigem Wolfram
(2023)
High brittle-ductile transition temperatures preclude the use of conventionally manufactured tungsten (W) as a structural material. Ultrafine grained (UFG) W materials, however, exhibit the brittle-ductile transition at ...
Entwicklung einer Methode zum Einsatz von Reinforcement Learning für die dynamische Fertigungsdurchlaufsteuerung
(2023)
This work aims to develop a method that can reschedule the matrix production in the case of a disruption. For this purpose, different artificial intelligence methods are combined in a novel way. The developed method is ...
Diffusionseigenschaften von Nickel in einer Festoxid-Brennstoffzelle
(2022)
In this work, thermal grooving experiments were performed on anode microstructures, Ni polycrystals and Ni bicrystals. The grain boundary grooves were measured by means of an AFM. The results provide for the first time ...
Vibroakustische Analyse eines elektrischen Radnabenmotors und Optimierung durch geeignete Steuerungsansätze
(2023)
This work deals with the mechanisms of disturbing noises at the electric wheel hub motor and describes a multiphysical model which simulates them. From this, countermeasures are derived and evaluated. A vibroacoustical ...
Fiber Orientation Tensors and Mean Field Homogenization
(2023)
Effective mechanical properties of fiber-reinforced composites strongly depend on the microstructure, including the fibers' orientation. Studying this dependency, we identify the variety of fiber orientation tensors up to ...
A computational multi-scale approach for brittle materials
(2023)
Materials of industrial interest often show a complex microstructure which directly influences their macroscopic material behavior. For simulations on the component scale, multi-scale methods may exploit this microstructural ...