Parametric Design-Based Personalization Study of Zoned Knee Braces
- DOI
- 10.2991/978-94-6463-815-8_66How to use a DOI?
- Keywords
- Knee Protective Gear; Three-Dimensional Scanning; Personalized Design; 3D Printing Technology; Parametric Design
- Abstract
This study proposes a zoned knee protector design methodology integrating personalized parametric approaches. Utilizing a comprehensive reverse engineering workflow, 3D morphological data of the human knee were acquired via the Einscan Pro 2X Series scanner. Two primary materials were selected based on functional requirements: Polymaker TPU 85A for the substrate and PLA + 2.0 for zoned structural components. Through the Ntopology parametric design platform, the development of zoned lattice structures was implemented via five critical stages: boundary definition, stochastic point cloud distribution, mesh framework establishment, Boolean operations, and final model output – enabling the transformation from theoretical models to physical constructs. The 3D-printed prototypes underwent rigorous sports biomechanics simulation experiments. Kinematic and dynamic analyses confirmed that the designed knee protector achieves: personalized anatomical conformity, enhanced joint protection, and optimized biomechanical load distribution.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Jiachen Li AU - Xvpeng Wang AU - Jiaxin Zhao AU - Lingxiao Xi PY - 2025 DA - 2025/08/13 TI - Parametric Design-Based Personalization Study of Zoned Knee Braces BT - Proceedings of the 2025 4th International Conference on Art Design and Digital Technology (ADDT 2025) PB - Atlantis Press SP - 604 EP - 610 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-815-8_66 DO - 10.2991/978-94-6463-815-8_66 ID - Li2025 ER -