| SMSI 2023 |
D1.1 - Qualification of Barkhausen noise and eddy current based sensors for online monitoring of strain-induced α´-martensite formation during flow forming |
J. Rozo Vasquez - TU Dortmund University, Dortmund (Germany), B. Arian - Paderborn University, Paderborn (Germany), L. Kersting - Fraunhofer Institute for Mechatronic Systems Design (IEM), Paderborn (Germany), W. Homberg - Paderborn University, Paderborn (Germany), A. Trächtler - Fraunhofer Institute for Mechatronic Systems Design (IEM), Paderborn (Germany), F. Walther - TU Dortmund University, Dortmund (Germany) |
| SMSI 2023 |
D1.2 - Sensitivity Analysis of Barkhausen Noise Measurements for Residual Stress Correlation |
S. Stebner, M. Dölz, S. Münstermann - RWTH Aachen University, Aachen (Germany), D. Maier, W. Volk, A. Ismail, B. Lohmann - Technical University of Munich, München (Germany) |
| SMSI 2023 |
D1.3 - Real-Time Microstructure Characterization using Eddy Current-based Soft Sensors |
S. Hütter, T. Halle, G. Mook - Otto-von-Guericke Universität, Magdeburg (Germany) |
| SMSI 2023 |
D1.4 - Multifrequency Multichannel Eddy Current Sensor System for the Analysis of Mechanical States in Ferromagnetic Materials |
F. Wendler, B. Awiszus, O. Kanoun, R. Laue - Chemnitz University of Technology, Chemnitz (Germany), S. Härtel - Brandenburg University of Technology, Cottbus (Germany) |
