期刊
INTERNATIONAL JOURNAL OF EXTREME MANUFACTURING
卷 4, 期 2, 页码 -出版社
IOP Publishing Ltd
DOI: 10.1088/2631-7990/ac5be6
关键词
triply periodic minimal surface; porous structures; shape and performance control; additive manufacturing; multidisciplinary applications
资金
- National Key R&D Program of China [2020YFC1107103]
- Key Research and Development Program of Zhejiang Province [2021C01107]
- China Postdoctoral Science Foundation [2020M681846]
- Science Fund for Creative Research Groups of National Natural Science Foundation of China [51821093]
Inspired by natural porous architectures, triply periodic minimal surface (TPMS) has emerged as an outstanding solution to constructing porous structures. This paper provides a comprehensive overview of TPMS porous structures, including design algorithms, manufacturing methods, applications, and future research prospects.
Inspired by natural porous architectures, numerous attempts have been made to generate porous structures. Owing to the smooth surfaces, highly interconnected porous architectures, and mathematical controllable geometry features, triply periodic minimal surface (TPMS) is emerging as an outstanding solution to constructing porous structures in recent years. However, many advantages of TPMS are not fully utilized in current research. Critical problems of the process from design, manufacturing to applications need further systematic and integrated discussions. In this work, a comprehensive overview of TPMS porous structures is provided. In order to generate the digital models of TPMS, the geometry design algorithms and performance control strategies are introduced according to diverse requirements. Based on that, precise additive manufacturing methods are summarized for fabricating physical TPMS products. Furthermore, actual multidisciplinary applications are presented to clarify the advantages and further potential of TPMS porous structures. Eventually, the existing problems and further research outlooks are discussed.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据