M. Sc. Maschinenbau
Research Associate
t: (0531) 391-3571
2025
Gantner, S., Rennen, P., Salehi Amiri, F., Rothe, T., Hühne, C., Lowke, D., Kloft, H., & Hack, N. (2025). Robotic frame winding: Prefabricated fibre structures as formwork and reinforcement for digitally fabricated shell-like concrete elements. Construction Robotics, 9, Article 12. https://doi.org/10.1007/s41693-025-00154-0
Dörrie, R., Gantner, S., Salehi Amiri, F., Lachmayer, L., David, M., Rothe, T., Freund, N., Nouman, A., Mawas, K., Oztoprak, O., … Hack, N. (2025). From digital to real: Optimised and functionally integrated shotcrete 3D printing elements for multi-storey structures. Buildings, 15(9), 1461. https://doi.org/10.3390/buildings15091461
2024
Kloft, H., Sawicki, B., Bos, F. P., Dörrie, R., Freund, N., Gantner, S., Gebhard, L., Hack, N., Ivaniuk, E., Kruger, J., Kaufmann, W., Mata-Falcón, J., Mechtcherine, V., Mirjan, A., & Wolfs, R. (2024). Interaction of reinforcement, process, and form in digital fabrication with concrete. Cement and Concrete Research, 186, 107640. https://doi.org/10.1016/j.cemconres.2024.107640
Rennen, P., Gantner, S., Rothe, T., Hühne, C., & Hack, N. (2024). Structural evaluation of shotcrete 3D printing and robotic fiber winding for thin shell elements. In Proceedings of the IASS 2024 Symposium – Redefining the Art of Structural Design. International Association for Shell and Spatial Structures.
2023
Rothes, T., Hühne, C., Gantner, S., & Hack, N. (2023). A dynamic winding process of individualized fibre reinforcement structures for additive manufacturing in construction. Open Conference Proceedings, 3, 187. https://doi.org/10.52825/ocp.v3i.187
Rennen, P., Gantner, S., Dielemans, G., Bleker, L., Christidi, N., Dörrie, R., Hojjat, M., Mai, I., Mawas, K., Lowke, D., D’Acunto, P., Dörfler, K., Hack, N., & Popescu, M. (2023). Robotic knitcrete: Computational design and fabrication of a pedestrian bridge using robotic shotcrete on a 3D-knitted formwork. Frontiers in Built Environment, 9, 1269000. https://doi.org/10.3389/fbuil.2023.1269000
Rothe, T., Gantner, S., Hack, N., & Hühne, C. (2023). Optimization of tensile properties and bond behaviour to concrete of fibre reinforcement strands produced within a dynamic fibre winding process. In Proceedings of the 11th International Conference on Fiber-Reinforced Polymer (FRP) Composites in Civil Engineering (CICE 2023).
2022
Gantner, S., Rennen, P., Rothe, T., Hühne, C., & Hack, N. (2022). Core winding: Force-flow oriented fibre reinforcement in additive manufacturing with concrete. In R. Buswell, A. Blanco, S. Cavalaro, & P. Kinnell (Eds.), Third RILEM International Conference on Concrete and Digital Fabrication (pp. 391–396). Springer International Publishing. https://doi.org/10.1007/978-3-031-06116-5_58
Kloft, H., Dörfler, K., Bährens, M., … Gantner, S., … & Wenzler, D. L. (2022). Die Forschungsinfrastruktur des SFB TRR 277 AMC Additive Fertigung im Bauwesen. Bautechnik, 99(9), 689–701. https://doi.org/10.1002/bate.202200041
Gantner, S., Rothe, T., Hühne, C., & Hack, N. (2022). Reinforcement strategies for additive manufacturing in construction based on dynamic fibre winding: Concepts and initial case studies. Open Conference Proceedings. 1, 45–59. https://doi.org/10.52825/ocp.v1i.78
2021
Mai, I., Brohmann, L., Freund, N., Gantner, S., & Hack, N. (2021). Large particle 3D concrete printing – A green and viable solution. Materials, 14(20), 6125; https://doi.org/10.3390/ma14206125
Hack, N., Bahar, M., Hühne, C., Rothe, T., & Gantner, S. (2021). Development of a robot-based multi-directional dynamic fiber winding process for additive manufacturing using shotcrete 3D printing. Fibers, 9(6), 39; https://doi.org/10.3390/fib9060039
2020
Hack, N., Mai, I., Brohmann, L., Freund, N., Gantner, S., & Kloft, H. (2020). Injection 3D concrete printing (I3DCP): Basic principles and case studies. Materials, 13(5), 1093; https://doi.org/10.3390/ma13051093
2018
Marx, J., Gantner, S., Städing, J., & Friedrichs, J. (2018). A machine learning based approach of performance estimation for high-pressure compressor airfoils. In ASME Turbo Expo 2018: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers. https://doi.org/10.1115/GT2018-75372
Marx, J.; Gantner, S.; Städing, J.; Friedrichs, J.: A Machine Learning Based Approach of Performance Estimation for High-Pressure Compressor Airfoils. Conference: Proceedings of the ASME Turbo Expo 2018. 11.- 15.6.2018, Oslos, 2018
