M.Sc. Christian Stadter
Technische Universität München
Postadresse
Postal:
Boltzmannstr. 15
85748 Garching b. München
- Raum: 5503.02.311
Mitglied der Institutsleitung
Abteilung Lasertechnik
Tel.: +49 (89) 289 - 15560
E-Mail: christian.stadter@iwb.tum.de
Forschungsschwerpunkte
Veröffentlichungen
2020
- Numerical weld pool simulation for the accuracy improvement of inline weld depth measurement based on optical coherence tomography. Journal of Laser Applications 32 (2), 2020, 022036 mehr…
- Investigation of the influences of the process parameters on the weld depth in laser beam welding of AA6082 using machine learning methods. Procedia CIRP 94, 2020, 702-707 mehr…
- Correlation analysis between the beam propagation and the vapor capillary geometry by machine learning. Procedia CIRP 94, 2020, 742-747 mehr…
- Real-time prediction of quality characteristics in laser beam welding using optical coherence tomography and machine learning. Journal of Laser Applications 32 (2), 2020, 022046 mehr…
2019
- Distortion minimization of laser beam welded components by the use of finite element simulation and Artificial Intelligence. CIRP Journal of Manufacturing Science and Technology 27, 2019, 11-20 mehr…
- Numerical Weld Pool Simulation for the Accuracy Improvement of Inline Weld Depth Measurement Based on Optical Coherence Tomography. In: ICALEO Conference Proceedings. , 2019 mehr…
- A Genetic Algorithm for the Correlation of the Keyhole and the Melt Pool Depth in Laser Beam Welding of AA6082. In: Proceedings of the Lasers in Manufacturing Conference (LiM) 2019. Wissenschaftliche Gesellschaft für Lasertechnik e.V. (WLT), 2019 mehr…
- Inline weld depth measurement for high brilliance laser beam sources using optical coherence tomography. Journal of Laser Applications 31 (2), 2019, 022409 mehr…
- Holistic sensor concept for process control and quality assurance in laser beam welding based on Optical Coherence Tomography. In: Proceedings of the Lasers in Manufacturing Conference (LiM) 2019. , 2019 mehr…
- Real-time Prediction of Quality Characteristics Based on Inline Process Data Using Machine Learning. In: ICALEO Conference Proceedings. , 2019 mehr…
- Ganzheitliches Qualitätssicherungskonzept für hochflexible Produktionsanlagen im Karosseriebau der Zukunft: Innovative Sensortechnologie und Datenauswertung mittels Künstlicher Intelligenz als Befähiger für hochflexible Fügetechnologien. Automobiltechnologie in Bayern + e-Car, 2019, 18--21 mehr…
- Holistic Quality Assurance System for Highly Flexible Production Systems in the Body Shop of the Future: Innovative Sensor Technology and Data Evaluation Using Artificial Intelligence as an Enabler for Highly Flexible Joining Technologies. Automotive Technology in Bavaria + e-Car, 2019, 18-21 mehr…
- Real-time Prediction of Quality Characteristics in Laser Beam Welding Using Optical Coherence Tomography and Machine Learning. In: ICALEO Conference Proceedings. , 2019 mehr…
- Process control and quality assurance in remote laser beam welding by optical coherence tomography. Journal of Laser Applications 31 (2), 2019, 022408 mehr…
- Kreuzkorrelation von Prozessparametern und der Einschweißtiefe beim Laserstrahlschweißen von Aluminiumlegierungen mittels Methoden des Maschinellen Lernens. In: DVS Congress. , 2019, 13--21 mehr…
2018
- Inline Weld Depth measurement for High brilliance Laser Beam Sources Using Optical Coherence Tomography. Laser Institute of America (Hg.) 2018 – Proceedings of the 37th International, 2018 mehr…
- Highly flexible remote laser beam welding for the car body production of the future. Automotive Technology in Bavaria + e-Car, 2018 mehr…
- Hochflexibles Remote-Laserstrahlschweißen für den Karosseriebau der Zukunft. Automobiltechnologie in Bayern + e-Car, 2018 mehr…
- Process Control and Quality Assurance in Remote Laser Beam Welding By Optical Coherence Tomography. Laser Institute of America (Hg.) 2018 – Proceedings of the 37th International, 2018 mehr…
2017
- Numerical simulation of laser beam welding using an adapted intensity distribution. Journal of Laser Applications 29 (2), 2017, 022405 mehr…