- Prediction and homogenization of optical tomography images and microstructure during powder bed fusion of metals using a laser beam by means of a style-based generative adversarial network. Additive Manufacturing 116, 2026, 105077 more…
- Microstructure simulation of maraging steel 1.2709 processed by powder bed fusion of metals using a laser beam: A cellular automata approach with varying process parameters. Results in Materials 25, 2025, 100667 more…
- Parameter identification and mechanical characterization of stud and wire arc additively manufactured steel bars for the use in construction. The International Journal of Advanced Manufacturing Technology 137 (9-10), 2025, 5307-5320 more…
- Deposition sequence optimization for minimizing substrate plate distortion using the simplified WAAM simulation. Journal of Manufacturing Systems 81, 2025, 103-116 more…
- Prediction of shrink lines in powder bed fusion of metals using a laser beam by means of a finite element simulation approach. Journal of Advanced Joining Processes 11, 2025, 100315 more…
- AscentAM: A Software Tool for the Thermo-Mechanical Process Simulation of Form Deviations and Residual Stresses in Powder Bed Fusion of Metals Using a Laser Beam. Modelling 5 (3), 2024, 841-860 more…
- Experimental investigation of process parameter variations on the microstructure and failure behavior of IN718 structures in PBF-LB/M. Journal of Laser Applications 36 (1), 2024 more…
- reAM250 — An open-source research platform for process monitoring and control in Powder Bed Fusion of Metals using a laser beam. Procedia CIRP 124, 2024, 295-300 more…
- Simulation-assisted prediction of residual stress-induced failure during powder bed fusion of metals using a laser beam. Optical Engineering 64 (03), 2024 more…
- Enhancing the Predictive Capabilities of Microstructure Simulations of PBF-LB/M by an Evaluation of Nucleation Theories. Metallurgical and Materials Transactions A 54 (4), 2023, 1142-1158 more…
- Towards a Simulation-Assisted Prediction of Residual Stress-Induced Failure during Powder Bed Fusion of Metals Using a Laser Beam: Suitable Fracture Mechanics Models and Calibration Methods. Journal of Manufacturing and Materials Processing 7 (6), 2023, 208 more…
- Influence of the Pore Radius on the Penetration Depth of Inks in Binder Jetting—A Modification of the Washburn Equation. Journal of Manufacturing and Materials Processing 6 (5), 2022, 101 more…
- Bewertung des Einsatzes von Lasertechnologien in der Nutzfahrzeugindustrie. Zeitschrift für wirtschaftlichen Fabrikbetrieb ZWF 110 (11), 2015, 725-729 more…
Research Area Leader – Computational and data-driven additive manufacturing
Adress: Freisinger Landstraße 52.
85748, Garching bei München
Germany.
E-Mail: hannes.panzer(at)tum.de
Tel.: +49 (0) 89 289 - 55345
Fax: +49 (0) 89 289 - 55342
Room: B1.2.21
Research focus:
- Powder-bed-based additive manufacturing processes
- Numerical simulation and artificial intelligence
- Process monitoring, materials testing, and databases