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2865 results:
  • 2261. Team - Lab Manager
    Date: 15.07.2025
    Lab Manager Dipl.-Ing. (FH) Mario Dieter Elicker        informationbox
  • 2262. Team
    Date: 15.07.2025
    M. Sc. Jan-Erik Nebel Researchgate informationbox Research project:  In-situ and ex-situ characterisation of microstructure evolution in the scanning electron microscope for the development of microstructure models on the model material copper Use of Kerr microscopy to characterise the damage development in steels
  • 2263. Team
    Date: 15.07.2025
    M. Sc. Jonas Ziman Researchgate informationbox Team leader "High frequency fatigue" 
  • 2264. Team
    Date: 15.07.2025
    Dr.-Ing. Viktor Lyamkin Researchgate informationbox Research projects: Micro-magnetic in-situ detection of the micro-structural evolution of steels subjected to fatigue loading in nuclear components for a short-time method for life prediction Eddy current imaging with vibrating probe for materials science applications
  • 2265. Team
    Date: 15.07.2025
    Julian Meise
  • 2266. Team
    Date: 15.07.2025
    Riko Schanzenbach
  • 2267. Team
    Date: 15.07.2025
    B. Sc. Lena Lülsdorf
  • Initial results on the integration of statistical methods into accelerated lifetime prediction using the example of the material C45E were presented at the conference “Steel Innovation” in April 2025. The procedure for generating an S-N curve with density function, to describe the scatter band, is shown and described below.
  • 2269. Jonas Ziman
    Date: 16.07.2025
    Scientific Assistant Team leader "High frequency fatigue" Function at the University of Applied Science
  • The S-N curve generated using accelerated lifetime prediction methods are based on only a few real data points due to the significantly reduced experimental effort. However, the database can be significantly expanded by generating virtual data points, which makes it possible to integrate statistical methods (Point 1). In order to describe the s
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