Zhuangyu Li, Ziqi Zhou, Wenlei Xiao, Gang Zhao, Changri Xiong
{"title":"基于光滑粒子流体力学的可控流形节点点阵结构几何建模","authors":"Zhuangyu Li, Ziqi Zhou, Wenlei Xiao, Gang Zhao, Changri Xiong","doi":"10.1016/j.addma.2025.104744","DOIUrl":null,"url":null,"abstract":"<div><div>The advancement of additive manufacturing has necessitated the development of high-performance geometric modeling methods for lattice structures. A critical challenge in current additive manufacturing technologies is effectively controlling the geometric shape of nodes within lattice structures to achieve specific functional enhancements, such as strengthening mechanical properties, thereby reducing stress concentration issues. This study presents a novel geometric modeling method employing Smoothed Particle Hydrodynamics (SPH) to smoothly control the geometric shape of nodes in lattice structures, suitable for variable-radius, heterogeneous configurations. This method is named SPH-based Lattice Geometric Modeling (SLGM). The SLGM comprises two primary steps: initially representing the geometric form around each node using a particle set, followed by the application of the SPH Particle Dynamics Model (SPDM) to control the geometric shape of each node in parallel. The method was applied to several intricate lattice structure designs, confirming its extensive broad applicability. Two optimized lattice-based beams were designed and subjected to three-point bending tests. The results showed a significant enhancement in structural load-bearing capacity for both models, with different levels of improvement, demonstrating the effectiveness of the proposed geometric modeling method. The modeling algorithm features high parallelism, making it suitable for generating large-scale models. This method provides effective strategies for structural optimization and efficient resource utilization in additive manufacturing, with the potential to advance the technology’s application in high-performance domains.</div></div>","PeriodicalId":7172,"journal":{"name":"Additive manufacturing","volume":"103 ","pages":"Article 104744"},"PeriodicalIF":10.3000,"publicationDate":"2025-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Smoothed Particle Hydrodynamics-based geometric modeling of lattice structures with controllable manifold nodes\",\"authors\":\"Zhuangyu Li, Ziqi Zhou, Wenlei Xiao, Gang Zhao, Changri Xiong\",\"doi\":\"10.1016/j.addma.2025.104744\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The advancement of additive manufacturing has necessitated the development of high-performance geometric modeling methods for lattice structures. A critical challenge in current additive manufacturing technologies is effectively controlling the geometric shape of nodes within lattice structures to achieve specific functional enhancements, such as strengthening mechanical properties, thereby reducing stress concentration issues. This study presents a novel geometric modeling method employing Smoothed Particle Hydrodynamics (SPH) to smoothly control the geometric shape of nodes in lattice structures, suitable for variable-radius, heterogeneous configurations. This method is named SPH-based Lattice Geometric Modeling (SLGM). The SLGM comprises two primary steps: initially representing the geometric form around each node using a particle set, followed by the application of the SPH Particle Dynamics Model (SPDM) to control the geometric shape of each node in parallel. The method was applied to several intricate lattice structure designs, confirming its extensive broad applicability. Two optimized lattice-based beams were designed and subjected to three-point bending tests. The results showed a significant enhancement in structural load-bearing capacity for both models, with different levels of improvement, demonstrating the effectiveness of the proposed geometric modeling method. The modeling algorithm features high parallelism, making it suitable for generating large-scale models. This method provides effective strategies for structural optimization and efficient resource utilization in additive manufacturing, with the potential to advance the technology’s application in high-performance domains.</div></div>\",\"PeriodicalId\":7172,\"journal\":{\"name\":\"Additive manufacturing\",\"volume\":\"103 \",\"pages\":\"Article 104744\"},\"PeriodicalIF\":10.3000,\"publicationDate\":\"2025-04-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Additive manufacturing\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2214860425001083\",\"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}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Additive manufacturing","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2214860425001083","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}
Smoothed Particle Hydrodynamics-based geometric modeling of lattice structures with controllable manifold nodes
The advancement of additive manufacturing has necessitated the development of high-performance geometric modeling methods for lattice structures. A critical challenge in current additive manufacturing technologies is effectively controlling the geometric shape of nodes within lattice structures to achieve specific functional enhancements, such as strengthening mechanical properties, thereby reducing stress concentration issues. This study presents a novel geometric modeling method employing Smoothed Particle Hydrodynamics (SPH) to smoothly control the geometric shape of nodes in lattice structures, suitable for variable-radius, heterogeneous configurations. This method is named SPH-based Lattice Geometric Modeling (SLGM). The SLGM comprises two primary steps: initially representing the geometric form around each node using a particle set, followed by the application of the SPH Particle Dynamics Model (SPDM) to control the geometric shape of each node in parallel. The method was applied to several intricate lattice structure designs, confirming its extensive broad applicability. Two optimized lattice-based beams were designed and subjected to three-point bending tests. The results showed a significant enhancement in structural load-bearing capacity for both models, with different levels of improvement, demonstrating the effectiveness of the proposed geometric modeling method. The modeling algorithm features high parallelism, making it suitable for generating large-scale models. This method provides effective strategies for structural optimization and efficient resource utilization in additive manufacturing, with the potential to advance the technology’s application in high-performance domains.
期刊介绍:
Additive Manufacturing stands as a peer-reviewed journal dedicated to delivering high-quality research papers and reviews in the field of additive manufacturing, serving both academia and industry leaders. The journal's objective is to recognize the innovative essence of additive manufacturing and its diverse applications, providing a comprehensive overview of current developments and future prospects.
The transformative potential of additive manufacturing technologies in product design and manufacturing is poised to disrupt traditional approaches. In response to this paradigm shift, a distinctive and comprehensive publication outlet was essential. Additive Manufacturing fulfills this need, offering a platform for engineers, materials scientists, and practitioners across academia and various industries to document and share innovations in these evolving technologies.