Autors: Schwicker M P., Nikolov, N. D.
Title: Development of a Fused Deposition Modeling System to Build Form-Fit Joints Using an Industrial Robot
Keywords: additive manufacturing, fused deposition modeling, fast fila

Abstract: During the last years, Additive Manufacturing (AM) technologies have experienced substantial growth mostly due to their new design potentials. One technology commonly used in AM is Fused Deposition Modeling. Basically, virtual 3D models are segmented into a series of 2D cross-sections, which are then successively built on top of each other to create the final physical part. When implementing an industrial robot with additional rotational degrees of freedom to create these layers, new design possibilities are created. While layers no longer need to be parallel to the print bed and the final print may even leave the area above the print bed, it becomes possible to produce form-fit joints. In this article the development and commissioning of an Additive Robot Manufacturing System is shown, which is able to perform these tasks. Tests were conducted to confirm the feasibility of the approach.

References

    Issue

    International Journal of Mechanical Engineering and Robotics Research, vol. 11, issue 2, pp. 51-58, 2022, United States, DOI 10.18178/ijmerr.11.2.51-58

    Цитирания (Citation/s):
    1. Eversmann, P., & Rossi, A. (2023). Towards Construction 4.0: Computational Circular Design and Additive Manufacturing for Architecture Through Robotic Fabrication with Sustainable Materials and Open-Source Tools. In Architecture and Design for Industry 4.0: Theory and Practice (pp. 291-314). Cham: Springer International Publishing - 2023 - в издания, индексирани в Scopus или Web of Science
    2. Z. Shen, Y. Lu, H. Hu and C. Zhuang, "Identification for Industrial Robots Using Bedplate Force Sensors with Physics-Based Simulation Models," 2024 10th International Conference on Electrical Engineering, Control and Robotics (EECR), Guangzhou, China, 2024, pp. 14-18, doi: https://10.1109/EECR60807.2024.10607240 - 2024 - в издания, индексирани в Scopus или Web of Science
    3. López-Arrabal, A., Guzmán-Bautista, Á., Solórzano-Requejo, W., Franco-Martínez, F., & Villaverde, M. (2024). Axisymmetric non-planar slicing and path planning strategy for robot-based additive manufacturing. Materials & Design, 112915. https://doi.org/10.1016/j.matdes.2024.112915 - 2024 - в издания, индексирани в Scopus или Web of Science

    Вид: статия в списание, публикация в издание с импакт фактор, публикация в реферирано издание, индексирана в Scopus