| SMSI 2023 |
C5.2 - Flexible Magnetic Sensors Enabling Novel Measuring Capabilities |
M. Melzer - Bundesanstalt für Materialforschung und -prüfung, Berlin (Germany) |
| SMSI 2023 |
C5.3 - Passive Smart Dust: A Versatile Low-Cost Sensor Platform |
T. Nerger, P. Neumann, M. Weller - Bundesanstalt für Materialforschung und -prüfung, Berlin (Germany) |
| SMSI 2023 |
C5.4 - From Thermographic In-situ Monitoring to Porosity Detection - A Deep Learning Framework for Quality Control in Laser Powder Bed Fusion |
S. Oster, N. Scheuschner, K. Chand, P. Breese, T. Becker, S. Altenburg - Bundesanstalt für Materialforschung und -prüfung, Berlin (German), F. Heinrichsdorff - Siemens AG, Berlin (Germany) |
| SMSI 2023 |
C6.1 - Fluid-Structure Interaction of MEMS Resonators |
D. Platz, A. Gesing, U. Schmid - Technische Universität Wien, Vienna (Austria) |
| SMSI 2023 |
C6.2 - Optimised FEM Simulation of Automated Acoustic Non-Destructive Testing of Spot Welds |
P. Sachs, A. Bergmann, R. Klambauer - Graz University of Technology, Graz (Austria), T. Hötzer, W. Rohringer, S. Wunderl - XARION Laser Acoustics GmbH, Wien (Austria) |
| SMSI 2023 |
C6.3 - Theoretical Model and Simulation of a 3D Printed Multi-Material Vibration Harvester |
P. Gawron, T. Wendt - Offenburg University of Applied Sciences, Offenburg (Germany), S. Rupitsch - University of Freiburg, Freiburg (Germany) |
| SMSI 2023 |
C6.4 - Simulation of Damping Effects in Irregularly Perforated MEMS Devices by Physical Compact Modeling |
F. Michael, G. Schrag - Technical University of Munich, München (Germany) |
| 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) |
