Kaixiang Zhang , Yizhe Yang , Qingfeng Jia , Bingshan Liu , Shan Li , Xin Li , Gong Wang
{"title":"A method for generating large-scale implicit lattice structures for direct manufacturing","authors":"Kaixiang Zhang , Yizhe Yang , Qingfeng Jia , Bingshan Liu , Shan Li , Xin Li , Gong Wang","doi":"10.1016/j.jmapro.2025.07.010","DOIUrl":null,"url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":16148,"journal":{"name":"Journal of Manufacturing Processes","volume":"151 ","pages":"Pages 188-205"},"PeriodicalIF":6.1000,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Manufacturing Processes","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1526612525007789","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MANUFACTURING","Score":null,"Total":0}
引用次数: 0
Abstract
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.
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.