Browsing Fakultät für Maschinenbau by Title

Browsing Fakultät für Maschinenbau by Title

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  • Damage Segmentation on High-Resolution Coating Images Using a Novel Two-Stage Network Pipeline 
    Hedrich, Kolja; Hinz, Lennart; Reithmeier, Eduard (Basel : MDPI, 2023)
    The automation of inspections in aircraft engines is an ever-increasing growing field of research. In particular, the inspection and quantification of coating damages in confined spaces, usually performed manually with ...
  • Damage tolerance and notch sensitivity of bio-inspired thin-ply Bouligand structures 
    Körbelin, Johann; Goralski, Philip; Kötter, Benedikt; Bittner, Florian; Endres, Hans-Josef; Fiedler, Bodo (Amsterdam : Elsevier, 2021)
    Different bio-inspired Bouligand thin-ply Carbon-Fibre-Reinforced Plastic (CFRP) laminates with a pitch angle as low as 2.07∘ are realised, which is the smallest pitch angle realised in literature. The angle is therefore ...
  • Data based root cause analysis for improving logistic key performance indicators of a company's internal supply chain 
    Schmidt, Matthias; Maier, Janine Tatjana; Härtel, Lasse (Amsterdam [u.a.] : Elsevier, 2019)
    The manufacturing industry faces an increasingly complex and dynamic environment due to shorter product life cycles, advanced production structures and expanding customer services. It is imperative that logistic key ...
  • Data mining approach for knowledge-based process planning 
    Denkena, Berend; Schmidt, Justin; Krüger,Max (Amsterdam : Elsevier, 2014)
    Concepts like gentelligent products, smart objects or cyber-physical systems have already proven a high potential especially for decentralized production planning and control. In this context, decentralized communication, ...
  • Data-Based Energy Demand Prediction for Hybrid Electrical Vehicles 
    Fink, Daniel; Maas, Oliver; Herda, Daniel; Ziaukas, Zygimantas; Schweers, Christoph; Trabelsi, Ahmed; Jacob, Hans-Georg (Singapore : Springer Singapore, 2024)
    To achieve a resource-efficient automotive traffic, modern driver assistance systems minimize the vehicle’s energy demand through speed optimization algorithms. Based on predictive route data, the required energy for ...
  • Data-based ensemble approach for semi-supervised anomaly detection in machine tool condition monitoring 
    Denkena, B.; Dittrich, M.-A.; Noske, H.; Stoppel, D.; Lange, D. (Amsterdam [u.a.] : Elsevier, 2021)
    Data-based methods are capable to monitor machine components. Approaches for semi-supervised anomaly detection are trained using sensor data that describe the normal state of machine components. Thus, such approaches are ...
  • Datenqualitätssicherung im Forschungsprozess am Beispiel von Zugversuchen 
    Müller, Laura; Wawer, Max Leo; Heimes, Norman; Uhe, Johanna; Koepler, Oliver; Auer, Sören; Lachmayer, Roland; Mozgova, Iryna (Erlangen : Ehemaligennetzwerk des Lehrstuhls für Konstruktionstechnik (KTmfk) Erlangen e.V., 2023)
    Progressive digitization throughout the entire product data life cycle requires a more sensitive handling and understanding of data within engineering processes. Regarding engineering research data, the aim is to implement ...
  • Decentralized Cost-Optimized Fuzzy Control of DC Microgrids 
    Knöchelmann, Elias; Männel, Alexander; Goetjes, Björn; Tappe, Svenja; Ortmaier, Tobias (Piscataway, NJ : Institute of Electrical and Electronics Engineers Inc., 2019-05-20)
    This paper presents a novel method for designing a decentralized fuzzy controller for DC microgrids, aiming to reduce operating costs. Therefore, a classical fuzzy control is created for each power supplying grid user based ...
  • Decision - Information - time/space 
    Overmeyer, Ludger; Stock, Andreas (Bingley : Emerald Group Publishing Ltd., 2007)
    Purpose - The standard terms of time and space lead to logical contradictions near the borderline of physics. Therefore, we suggest a new term for time and space, which enlarges the understanding but takes the actual ...
  • Deep Einstein@Home All-sky Search for Continuous Gravitational Waves in LIGO O3 Public Data 
    Steltner, B.; Papa, M.A.; Eggenstein, H.-B.; Prix, R.; Bensch, M.; Allen, B.; Machenschalk, B. (London : Institute of Physics Publ., 2023)
    We present the results of an all-sky search for continuous gravitational waves in the public LIGO O3 data. The search covers signal frequencies 20.0 Hz ≤ f ≤ 800.0 Hz and a spin-down range down to −2.6 × 10−9 Hz s−1, ...
  • Deep learning approach to predict optical attenuation in additively manufactured planar waveguides 
    Pflieger, Keno; Evertz, Andreas; Overmeyer, Ludger (Washington, DC : Optical Soc. of America, 2024)
    The booming demand for efficient, scalable optical networks has intensified the exploration of innovative strategies that seamlessly connect large-scale fiber networks with miniaturized photonic components. Within this ...
  • Deep Learning-Based Weld Contour and Defect Detection from Micrographs of Laser Beam Welded Semi-Finished Products 
    Nowroth, Christian; Gu, Tiansheng; Grajczak, Jan; Nothdurft, Sarah; Twiefel, Jens; Hermsdorf, Jörg; Kaierle, Stefan; Wallaschek, Jörg (Basel : MDPI, 2022)
    Laser beam welding is used in many areas of industry and research. There are many strategies and approaches to further improve the weld seam properties in laser beam welding. Metallography is often needed to evaluate welded ...
  • A deep q-learning-based optimization of the inventory control in a linear process chain 
    Dittrich, M.-A.; Fohlmeister, S. (Heidelberg : Springer, 2021)
    Due to growing globalized markets and the resulting globalization of production networks across different companies, inventory and order optimization is becoming increasingly important in the context of process chains. ...
  • Deep-learning-based 2.5D flow field estimation for maximum intensity projections of 4D optical coherence tomography 
    Laves, Max-Heinrich; Ihler, Sontje; Kahrs, Lüder A.; Ortmaier, Tobias (Bellingham, Wash. : SPIE, 2019)
    In microsurgery, lasers have emerged as precise tools for bone ablation. A challenge is automatic control of laser bone ablation with 4D optical coherence tomography (OCT). OCT as high resolution imaging modality provides ...
  • Deep-learning-based instrument detection for intra-operative robotic assistance 
    Badilla-Solórzano, Jorge; Spindeldreier, Svenja; Ihler, Sontje; Gellrich, Nils-Claudius; Spalthoff, Simon (Heidelberg [u.a.] : Springer, 2022)
    Purpose: Robotic scrub nurses have the potential to become an attractive solution for the operating room. Surgical instrument detection is a fundamental task for these systems, which is the focus of this work. We address ...
  • Definition of an Ecolabel for Aircraft 
    Van Endert, Lynn (Hamburg : Aircraft Design and Systems Group (AERO), Department of Automotive and Aeronautical Engineering, Hamburg University of Applied Sciences, 2017)
    In attempting to increase the environmental awareness in the aviation sector and to eliminate the green washing phenomenon, an investigation was done into the development and definition of an ecolabel for aircraft. Based ...
  • Deflection compensation on a force sensing mobile machine tool 
    Denkena, Berend; Bergmann, Benjamin; Wnendt, Eike; Brühne, Tilmann (Amsterdam [u.a.] : Elsevier, 2020)
    Within this paper, a model based deflection compensation for a mobile machine tool prototype is presented. The model compensates the deflection of the tool center point (TCP) based on strain gauge measurements at the ...
  • Degeneration Effects of Thin-Film Sensors after Critical Load Conditions of Machine Components 
    Ottermann, Rico; Steppeler, Tobias; Dencker, Folke; Wurz, Marc Christopher (Basel : MDPI, 2022)
    In the context of intelligent components in industrial applications in the automotive, energy or construction sector, sensor monitoring is crucial for security issues and to avoid long and costly downtimes. This article ...
  • Density-Based Topology Optimization for a Defined External State of Stress in Individualized Endoprosthesis 
    Müller, P.; Gembarski, P.C.; Lachmayer, R. (Cambridge : Cambridge University Press, 2022)
    Endoprosthesis are exposed to the risk of aseptic loosening. The design of the prosthesis shaft to achieve physiological force application is therefore of great importance. Additive manufacturing offers the potential to ...
  • Description of the contract between a deterministic anisotropic tool surface and a workpiece subjected to plastic deformation 
    Rotarescu, M.-I. (London : SAGE Publications Ltd., 1998)
    The finite element method offers an opportunity to obtain important information by simulating metal-forming processes. The description of the tool-workpiece interaction still remains a critical issue. The aim of this paper ...

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