Dieses Bild zeigt Sebastian Hügle

Sebastian Hügle

Herr M.Sc.

Wissenschaftlicher Mitarbeiter
Institut für Flugzeugbau

Kontakt

+49 711 685 60466
 +49 711 685 62449

Pfaffenwaldring 31
70569 Stuttgart
Deutschland
Raum: 5.538

Fachgebiet

  • Prozesssimulation
  • Robotische Pfadplanung
  • Kernlose Faserwickeltechnik (Robotic Coreless Filament Winding (RCFW))

  1. 2025

    1. Hügle, S.; Bellmann, M.; Balangé, L.; u. a. (2025): „Numerical Modeling of Fiber Bundle Architecture in the Robotic Coreless Filament Winding Process“. In: Proceedings of the 24th International Conference on Composite Materials (ICCM-24). Baltimore.

  2. 2024

    1. Carosella, S.; Hügle, S.; Helber, F.; u. a. (2024): „A short review on recent advances in automated fiber placement and filament winding technologies“. In: Composites Part B: Engineering. Elsevier BV 287 , S. 111843, doi: 10.1016/j.compositesb.2024.111843.
    2. Hügle, S.; Thompson, A. J.; Pei, M.; u. a. (2024): „Modeling Of A Realistic Fiber Bundle Architecture In The Robotic Coreless Filament Winding Process“. In: TexComp-15, Leuven, Belgien.
    3. Kannenberg, F.; Zechmeister, C.; Gil Pérez, M.; u. a. (2024): „Toward reciprocal feedback between computational design, engineering, and fabrication to co-design coreless filament-wound structures“. In: Journal of Computational Design and Engineering. 11 , S. 374–394, doi: 10.1093/jcde/qwae048.

  3. 2023

    1. Gil Pérez, M.; Mindermann, P.; Zechmeister, C.; u. a. (2023): „Data processing, analysis, and evaluation methods for co-design of coreless filament-wound building systems“. In: Journal of Computational Design and Engineering. 10 , S. 1460–1478, doi: 10.1093/jcde/qwad064.

  4. 2022

    1. Wolf, M.; Kaiser, B.; Hügle, S.; u. a. (2022): „Data Model for Adaptive Robotic Construction in Architecture“. In: Procedia CIRP. Elsevier BV S. 1035–1040, doi: 10.1016/j.procir.2022.05.104.
    2. Pérez, M. G.; Zechmeister, C.; Kannenberg, F.; u. a. (2022): „Computational co-design framework for coreless wound fibre–polymer composite structures“. In: Journal of Computational Design and Engineering. Oxford University Press (OUP) 9 , S. 310–329, doi: 10.1093/jcde/qwab081.
    3. Hügle, S.; Genc, E.; Dittmann, J.; u. a. (2022): „Offline Robot-Path-Planning and Process Simulation for the Structural Analysis of Coreless Wound Fibre-Polymer Composite Structures“. In: Key Engineering Materials. 926 , S. 1445–1453, doi: 10.4028/p-970esd.
    4. Hügle, S.; Genc, E.; Dittmann, J.; u. a. (2022): „Offline Robot-Path-Planning and Process Simulation for the Structural Analysis of Coreless Wound Fibre-Polymer Composite Structures“. In: Key Engineering Materials. 926 , S. 1445–1453, doi: 10.4028/p-970esd.
    5. Wolf, M.; Kaiser, B.; Hügle, S.; u. a. (2022): „Data Model for Adaptive Robotic Construction in Architecture“. In: Procedia CIRP. Elsevier BV S. 1035–1040, doi: 10.1016/j.procir.2022.05.104.
    6. Pérez, M. G.; Zechmeister, C.; Kannenberg, F.; u. a. (2022): „Computational co-design framework for coreless wound fibre–polymer composite structures“. In: Journal of Computational Design and Engineering. Oxford University Press (OUP) 9 , S. 310–329, doi: 10.1093/jcde/qwab081.

  5. 2017

    1. Dittmann, J.; Hügle, S.; Seif, P.; u. a. (2017): „Permeability Prediction Using Porous Yarns in a Dual-Scale Simulation with Openfoam“. In: Xi’an, China (ICCM21 - 21st International Conference on Composite Materials).

  6. 2016

    1. Dittmann, J.; Hügle, S.; Middendorf, P. (2016): „Numerical 3D Permeability Prediction Using Computational Fluid Dynamics Techniques“. In: Kyoto, Japan (FPCM - 13th Internation Conference on Flow Processes in Composite Materials).

Composite Design and Manufacturing Seminar

2011-2019 Studium der Luft- und Raumfahrttechnik an der Universität Stuttgart
seit 2019 Wissenschaftlicher Mitarbeiter am IFB
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