Dieses Bild zeigtFabian Bieg

Fabian Bieg

Herr M. Sc.

Akademischer Mitarbeiter
Institut für Werkzeugmaschinen
Zerspanungstechnologie

Kontakt

+49 711 685 84563
 +49 711 685 70040

Holzgartenstr. 17
70174 Stuttgart
Deutschland
Raum: 3.009

Publikationen:

  1. 2026

    1. Bieg, F., Fried, A., & Möhring, H.-C. (2026). Characterization of Cooling Dynamics in DED-LB/M: Influence of Process, Geometry, and Thermal Management. Procedia CIRP, 146, 96–101. https://doi.org/10.1016/j.procir.2026.03.182
    2. Fried, A., Acharya, S., Bieg, F., Maucher, C., & Möhring, H.-C. (2026). Vision-Based Powder Condition Classification and In-Situ Detection for Sustainable Laser-Based Powder Bed Fusion. Procedia CIRP, 146, 114–119. https://doi.org/10.1016/j.procir.2026.03.288
    3. Bieg, F., & Möhring, H.-C. (2026). Asymmetric substrate thermal conditioning in DED-LB/M: effects on geometry and properties. Production Engineering, 20, Article 2. https://doi.org/10.1007/s11740-026-01429-3
    4. Fried, A., Gutsche, D., Bieg, F., & Möhring, H.-C. (2026). GrAInd – an AI-driven approach to autonomous decision making enabled through image-based monitoring in grinding processes. Procedia CIRP, 146, 816–821. https://doi.org/10.1016/j.procir.2026.03.236

  2. 2024

    1. Bieg, F., Maucher, C., & Möhring, H.-C. (2024). On the design of an asymmetric temperature control platform towards the influenc ing of the heat balance of the DED-LB process.
    2. Bieg, F., Maucher, C., & Möhring, H.-C. (2024). Influence of the Substrate Size on the Cooling Behavior and Properties of the DED-LB Process. Journal of Machine Engineering, 24, Article 2. https://doi.org/10.36897/jme/189582

  3. 2023

    1. Bieg, F., Scheider, D., Kledwig, C., Maucher, C., Möhring, H.-C., & Reisacher, M. (2023). Development of a laser preheating concept for directed energy deposition. In Journal of Laser Applications (No. 4; Vol. 35). Laser Institute of America. https://doi.org/10.2351/7.0001124
    2. Palalić, M., Bieg, F., Maucher, C., Güzel, K., & Möhring, H.-C. (2023). Intelligent additive‐subtractive manufacturing for resilient production.
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