Use of µmagnetic test methods for the evaluation of the damage evolution in metallic materials subjected to cyclic loading
In order to achieve the goal of a (residual) fatigue life calculation for metallic materials or structures, it is necessary that comprehensive information is determined and made available. This information describes the micr
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
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.
Utilisation of statistical approaches within the scope of lifetime prediction methods for notched specimens using the example of unalloyed steels
The construction of dynamically loaded metallic materials and components is usually based on the relation between the stress amplitude and the number of cycles to failure, which is displayed in S-N cu
Utilisation of statistical approaches within the scope of lifetime prediction methods for notched specimens using the example of unalloyed steels
The construction of dynamically loaded metallic materials and components is usually based on the relation between the stress amplitude and the number of cycles to failure, which is displayed in S-N curve
2024 - heute Research Assistant Materials Science Laboratory, University of Applied Sciences Kaiserslautern
2023 - today Master's Degree, Study of Mechanical Engineering/Mechatronics, University of Applied Sciences Kaiserslautern
2022 - today Student Research Assistant Materials Science Lab
B. Eng. Vanessa Hayna
phone: +49 631 37242448 e-mail: vanessa.hayna@hs-kl.de building: H room: 2.013
Research Assistant
2024 - heute Research Assistant Materials Science Laboratory, University of Applied Sciences Kais
