A method for generating large-scale implicit lattice structures for direct manufacturing

被引:0
作者
Zhang, Kaixiang [1 ,2 ]
Yang, Yizhe [1 ,2 ]
Jia, Qingfeng [1 ,2 ]
Liu, Bingshan [1 ]
Li, Shan [1 ]
Li, Xin [1 ]
Wang, Gong [1 ]
机构
[1] Chinese Acad Sci, Technol & Engn Ctr Space Utilizat, Beijing 100094, Peoples R China
[2] Univ Chinese Acad Sci, Beijing, Peoples R China
基金
中国国家自然科学基金;
关键词
Additive manufacturing; Lattice structure; Implicit modeling; Voxelization; Signed distance field; FABRICATION; DESIGN;
D O I
10.1016/j.jmapro.2025.07.010
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The advent of additive manufacturing has significantly expanded the application potential of lattice structures in complex engineering scenarios. However, processing large-scale lattice meshes poses challenges due to the exponential growth in data volume and computation time. To address this issue, this study proposes a hierarchical voxel modeling method of implicit lattices (HVMIL) based on the Signed Distance Field (SDF). First, a GPU-accelerated SDF construction algorithm is proposed, capable of generating lattice structures with millions of elements within milliseconds, achieving unprecedented computational efficiency. Second, a hierarchical voxelization approach, optimized for additive manufacturing, effectively mitigates precision loss associated with STL conversion. Finally, the proposed method supports implicit modeling of various unit cells and field-driven applications, further broadening its applicability. Experimental validation demonstrates that our approach not only meets the stringent requirements of lattice structure applications but also establishes a novel paradigm for efficient modeling and high-precision fabrication in additive manufacturing.
引用
收藏
页码:188 / 205
页数:18
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