Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
Please note that all times are shown in the time zone of the conference. The current conference time is: 1st June 2024, 11:50:06am CEST
Session Chair: Silvia Gazzola Session Chair: Daniel Baumgarten
Location:Lecture Hall
Presentations
10:30am - 10:50am ID: 132 / Oral Session 3-2: 1 Abstract submission for on-site presentation Topics: Inverse problem Keywords: Hysteresis, Inverse problems, Material data, Neural networks, PINNs.
Material data identification by application of physics informed neural networks on an induction heating test rig
Mohammad Zhian Asadzadeh1, Johann Riedler2, Klaus Roppert3, Peter Raninger4
1Materials Center Leoben Forschung GmbH (MCL), Austria; 2Materials Center Leoben Forschung GmbH (MCL), Austria; 3Technical University of Graz, Institute for the fundamentals and theory of electrical engineering, Austria; 4Materials Center Leoben Forschung GmbH (MCL), Austria
Physics informed neural networks (PINNs) are at the center of attention in diversity of applications, especially for material data identification and engineering. In this work, we investigate the feasibility of material data identification using PINNs. We aim to identify thermo-physical properties, such as specific heat, thermal conductivity, as well as B-H characteristics relevant to hysteresis of materials. We show that the thermo-physical properties are identified quite accurately using few temperature sensor data of an air cooled cylindrical sample. Moreover, the B-H characteristics of the pure iron is approximated applying PINNs by incorporating the physics of the equivalent magnetic circuit of the yoke-based measurement setup and using a secondary voltage and primary excitation signal of the transformer as an input.
Contactless Inductive Flow Tomography with conducting boundaries
Peter Cornelis Molenaar1, Thomas Wondrak2, Ralf Theo Jacobs1, Hans Georg Krauthäuser1
1Technische Universität Dresden, Germany; 2Helmholtz-Zentrum Dresden - Rossendorf, Germany
A temperature driven three-dimensional velocity field of a liquid metal in a Rayleigh-Bénard cell is reconstructed employing contactless inductive flow tomography. The procedure has been enhanced to account for the electrical conductivity of the heat exchanger that stimulates the flow. The impact of the design of the heat exchanger onto the reconstructed velocity field is analysed.
11:10am - 11:30am ID: 124 / Oral Session 3-2: 3 Abstract submission for on-site presentation Topics: Inverse problem Keywords: Inverse problem, corrosion diagnosis, BEM, ships electric signature
Hybrid snapshots-Steklov BEM basis to identify hull corrosion states from nearby electric field measurements
This article presents an innovative approach to diagnose the state of a corroded ship's hull by utilizing measurements of the electric field in its vicinity.
11:30am - 11:50am ID: 119 / Oral Session 3-2: 4 Abstract submission for on-site presentation Topics: Inverse problem Keywords: inverse problems, adjoint method, material parameter determination
Adjoint Method for Inverse Problems in Electromagnetics
Manfred Kaltenbacher1, Barbara Kaltenbacher2, Andreas Gschwentner1, Stefan Ulbrich3, Alice Reinbacher-Köstinger1
