一种用于直接制造的大规模隐式点阵结构生成方法

IF 6.1 1区 工程技术 Q1 ENGINEERING, MANUFACTURING
Kaixiang Zhang , Yizhe Yang , Qingfeng Jia , Bingshan Liu , Shan Li , Xin Li , Gong Wang
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引用次数: 0

摘要

增材制造的出现极大地扩展了晶格结构在复杂工程场景中的应用潜力。然而,由于数据量和计算时间呈指数增长,处理大规模点阵网格带来了挑战。为了解决这一问题,本研究提出了一种基于符号距离场(SDF)的隐式格(HVMIL)分层体素建模方法。首先,提出了一种gpu加速的SDF构建算法,能够在毫秒内生成具有数百万个元素的晶格结构,实现了前所未有的计算效率。其次,针对增材制造优化的分层体素化方法有效地减轻了与STL转换相关的精度损失。最后,该方法支持各种单元的隐式建模和场驱动应用,进一步扩大了其适用性。实验验证表明,该方法不仅满足了晶格结构应用的严格要求,而且为增材制造中的高效建模和高精度制造建立了新的范例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A method for generating large-scale implicit lattice structures for direct manufacturing
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.
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来源期刊
Journal of Manufacturing Processes
Journal of Manufacturing Processes ENGINEERING, MANUFACTURING-
CiteScore
10.20
自引率
11.30%
发文量
833
审稿时长
50 days
期刊介绍: The aim of the Journal of Manufacturing Processes (JMP) is to exchange current and future directions of manufacturing processes research, development and implementation, and to publish archival scholarly literature with a view to advancing state-of-the-art manufacturing processes and encouraging innovation for developing new and efficient processes. The journal will also publish from other research communities for rapid communication of innovative new concepts. Special-topic issues on emerging technologies and invited papers will also be published.
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