C. Stadter

Investigation of the influences of the process parameters on the weld depth in laser beam welding of AA6082 using machine learning methods

M. Zaeh, M. Schmoeller, C. Stadter, 2020 .

Correlation analysis between the beam propagation and the vapor capillary geometry by machine learning

M. Zaeh, Michael K. Kick, M. Schmoeller, 2020 .

A Novel Approach to the Holistic 3D Characterization of Weld Seams—Paving the Way for Deep Learning-Based Process Monitoring

M. Zaeh, Michael K. Kick, M. Schmoeller, 2021, Materials.

Real-time prediction of quality characteristics in laser beam welding using optical coherence tomography and machine learning

M. Zaeh, M. Schmoeller, C. Stadter, 2020 .

Inline weld depth measurement for high brilliance laser beam sources using optical coherence tomography

Michael F. Zaeh, Stefan Liebl, M. Zaeh, 2019, Journal of Laser Applications.

Investigation on the Cause-Effect Relationships between the Process Parameters and the Resulting Geometric Properties for Wire-Based Coaxial Laser Metal Deposition

M. Zaeh, C. Stadter, C. Bernauer, 2022, Metals.

Weld Seam Trajectory Planning Using Generative Adversarial Networks

M. Zaeh, Michael K. Kick, C. Stadter, 2021, Towards Sustainable Customization: Bridging Smart Products and Manufacturing Systems.

Distortion minimization of laser beam welded components by the use of finite element simulation and Artificial Intelligence

Michael F. Zaeh, A. Belitzki, C. Stadter, 2019, CIRP Journal of Manufacturing Science and Technology.

Process control and quality assurance in remote laser beam welding by optical coherence tomography

M. Zaeh, M. Schmoeller, C. Stadter, 2019, Journal of Laser Applications.