Qi Feng

Herr M. Sc.

Akademischer Mitarbeiter
Institut für Werkzeugmaschinen
Maschinenkonstruktion

Kontakt

+49 711 685 84566
 +49 711 685 70040

Holzgartenstr. 17
70174 Stuttgart
Deutschland
Raum: 3.011

  1. 2025

    1. Feng, Q., Werkle, K. T., Maier, W., & Möhring, H.-C. (2025). Intelligent soft jaws for clamping complex geometric surfaces using active-controlled MRF in a 3D-printed TPU-cushion. Production Engineering. https://doi.org/10.1007/s11740-025-01336-z

  2. 2024

    1. Maier, W., Möhring, H.-C., Feng, Q., & Wunderle, R. (2024). Augmented reality to visualize a finite element analysis for assessing clamping concepts. The International Journal of Advanced Manufacturing Technology. https://doi.org/10.1007/s00170-024-13960-7
    2. Maier, W., Möhring, H.-C., Feng, Q., & Wunderle, R. (2024). Augmented reality to visualize a finite element analysis for assessing clamping concepts. https://doi.org/10.21203/rs.3.rs-3941650/v1

  3. 2023

    1. Feng, Q., Maier, W., Braun, S., & Möhring, H.-C. (2023). Dynamic modeling of the workpiece-fixture contact behavior for intelligent fixture design. Procedia CIRP, 119, Article 119. http://dx.doi.org/10.1016/j.procir.2023.02.126
    2. Feng, Q., Maier, W., Braun, S., & Möhring, H.-C. (2023). Detection and Identification of Nonlinear Contact Dynamics at Workpiece Clamping Positions. Journal of Machine Engineering, 1, Article 23. https://doi.org/10.36897/jme/161718
    3. Feng, Q., Maier, W., Braun, S., & Moehring, H.-C. (2023). Dynamic modeling of the workpiece-fixture contact behavior for intelligent fixture design.

  4. 2022

    1. Feng, Q., Maier, W., & Möhring, H.-C. (2022). Application of machine learning to optimize process parameters in fused deposition modeling of PEEK material. Procedia CIRP, 107, 1–8. https://doi.org/10.1016/j.procir.2022.04.001

  5. 2021

    1. Feng, Q., Maier, W., Stehle, T., & Möhring, H.-C. (2021). Optimization of a clamping concept based on machine learning. Production Engineering. https://doi.org/10.1007/s11740-021-01073-z
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