Masterarbeit KI gestützte datenbasierte Validierung dynamischer FEM-Simulationen im Drahtbond-Prozess
On-site
Core
Conduct dynamic FEM simulations of the wire bonding process using LS-DYNA/ANSYS, plan and execute wire bonding experiments, and validate simulation models using Machine Learning and AI methods.
Role type
Master's thesis researcher (Industrial AI & Simulation)
Builds
Validated digital twins of wire bonding processes for Smart Manufacturing
Domain
Automotive manufacturing / Wire bonding / Computational Mechanics
Deliverable
production ML models
Required skills
FEM simulation (LS-DYNA/ANSYS), Machine Learning, Python, C/C++, experimental design, data analysis
Preferred skills
CAE experience, Data Science background
Technologies
LS-DYNA, ANSYS, Python, C/C++
