Understanding fatigue of additively manufactured TPMS metallic metamaterials: Experiments and modeling

IF 11.1 1区 工程技术 Q1 ENGINEERING, MANUFACTURING
Krista Dyer , Mohammad Amjadi , Shuai Shao , Nima Shamsaei , Reza Molaei
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引用次数: 0

Abstract

Triply periodic minimal surfaces (TPMS) are specific types of lattice structures that can only be fabricated using the geometric freedom of additive manufacturing (AM). These structures are gaining traction in fields, such as biomedical and aerospace industries, due to their reduced stress concentrations and increased surface area to volume ratio compared to traditional strut-based lattices. Prior to acceptance into industry design applications, it is vital to understand the fatigue behavior of such porous structures under various loading conditions. The purpose of this study is to characterize and predict the fatigue behavior of Ti-6Al-4V TPMS lattice structures under a variety of loading conditions. Diamond and gyroid unit cell specimens of 50 % and 70 % porosity are fabricated for testing. Finite element analysis (FEA) and X-ray computed tomography (XCT) are also conducted for stress distribution and geometrical accuracy analysis. Various modeling techniques are used to correlate fatigue data of solid specimens and the lattice structures. It is found that popular methods from literature based on monotonic properties are not successful at correlating solid and porous data. This study expands to more robust local stress models, such as fatigue notch factor, that result in significantly improved life predictions but can be computationally expensive. A new model based on nominal applied cyclic loads and stress intensity factor is also proposed that produces comparable results to local stress models with reduced computational expenses.
了解增材制造TPMS金属超材料的疲劳:实验和建模
三周期最小表面(TPMS)是一种特殊类型的晶格结构,只能使用增材制造(AM)的几何自由度来制造。这些结构在生物医学和航空航天等领域越来越受欢迎,因为与传统的基于支柱的晶格相比,它们具有更低的应力集中和更高的表面积与体积比。在进入工业设计应用之前,了解这种多孔结构在各种载荷条件下的疲劳行为是至关重要的。本研究的目的是表征和预测Ti-6Al-4V TPMS晶格结构在各种载荷条件下的疲劳行为。制备了孔隙率分别为50% %和70% %的金刚石和陀螺单位细胞试样进行试验。有限元分析(FEA)和x射线计算机断层扫描(XCT)也进行了应力分布和几何精度分析。各种建模技术被用于将实体试样和晶格结构的疲劳数据关联起来。研究发现,文献中基于单调性的常用方法不能成功地关联固体和多孔数据。这项研究扩展到更强大的局部应力模型,如疲劳缺口因子,结果显着提高寿命预测,但可能在计算上昂贵。提出了一种基于名义施加循环荷载和应力强度因子的新模型,该模型的计算结果与局部应力模型相当,并且减少了计算费用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Additive manufacturing
Additive manufacturing Materials Science-General Materials Science
CiteScore
19.80
自引率
12.70%
发文量
648
审稿时长
35 days
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.
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