MS216D High-Fidelity and Surrogate Modeling for Advanced Manufacturing Processes IV
Main Organizer:
Dr.
Mamzi Afrasiabi
(
ETH Zurich
, Switzerland
)
Chaired by:
Dr. Ehsan Hosseini (Empa , Switzerland) , Prof. Christian Weißenfels (University of Augsburg , Germany)
Dr. Ehsan Hosseini (Empa , Switzerland) , Prof. Christian Weißenfels (University of Augsburg , Germany)
Scheduled presentations:
-
Differentiable Latent-Space Neural Surrogates for 3D Melt-Pool Optimization in Laser Powder Bed Fusion
-
Laser beam shaping in additive manufacturing: multiphysics simulations and experimental investigations
-
Surrogate Modeling of Friction Stir Welding Based on High-Fidelity Finite Element Simulations
-
**ForgeNet: A Deep Learning-Based Surrogate Model for Cold Forging Simulation with Adaptive Remeshing**
-
PID-Controlled Meshfree Simulation of Force-Controlled Friction Extrusion
-
Design Feedback Loop in Deep Drawing: A Geometry-Aware Self-Supervised Surrogate with Fourier-Based Explainability
