Experimentally program large magnitude of Poisson's ratio in additively manufactured mechanical metamaterials

被引:77
|
作者
Ling, Bin [1 ]
Wei, Kai [1 ,3 ]
Wang, Zhonggang [2 ]
Yang, Xujing [1 ]
Qu, Zhaoliang [4 ]
Fang, Daining [4 ]
机构
[1] Hunan Univ, State Key Lab Adv Design & Mfg Vehicle Body, Changsha 410082, Hunan, Peoples R China
[2] Cent South Univ, Sch Traff & Transportat Engn, Changsha, Hunan, Peoples R China
[3] Dalian Univ Technol, State Key Lab Struct Anal Ind Equipment, Dalian 116024, Peoples R China
[4] Beijing Inst Technol, Inst Adv Struct Technol, Beijing 100081, Peoples R China
基金
中国国家自然科学基金;
关键词
Mechanical metamaterial; Negative Poisson's ratio; Auxetic material; Honeycomb; AUXETIC METAMATERIALS; CELLULAR STRUCTURES; DESIGN; DEFORMATION; HONEYCOMBS;
D O I
10.1016/j.ijmecsci.2020.105466
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Triangle and honeycomb mechanical metamaterials possess exclusive characteristic of programmable Poisson's ratio. Up to now, the Poisson's ratio of these metamaterials in reported experiments is only within the range of [-4, 1], which is far narrow than the theoretical prediction. In this work, triangle and honeycomb metamaterials were exclusively designed and were fabricated by additive manufacturing. The large magnitude of Poisson's ratios including both positive and negative values was obtained in experimental measurements. Theoretical analysis and numerical simulation were also performed and discussed with the experiments. The results reveal that, under large loading strain, the metamaterials suffer plastic and large deformation, making their Poisson's ratios show significant loading strain dependence. Below the critical loading strain, the metamaterials generate elastic deformation, and the experimentally measured Poisson's ratios agree well with the theoretical perditions and numerical calculation. The as-fabricated triangle and honeycomb metamaterials present programmable positive Poisson's ratio in the ranges of [0.75, 10.92] and [2.80, 13.79], respectively. Besides, the reentrant triangle and honeycomb metamaterials show programmable negative Poisson's ratio in the ranges of [-0.87, -7.01] and [-2.13, -10.24], respectively. These experimentally obtained ranges of Poisson's ratios are far larger than the literature reported experimental results, and provide experimental basis of these mechanical metamaterials to the applications in such as aerospace, civil and transportation.
引用
收藏
页数:11
相关论文
共 50 条
  • [1] Additively manufactured multi-functional metamaterials: low coefficient of thermal expansion and programmable Poisson's ratio
    Zhou, Ye
    Yang, Qidong
    Wei, Kai
    VIRTUAL AND PHYSICAL PROTOTYPING, 2024, 19 (01)
  • [2] Additively Manufactured Hierarchical Auxetic Mechanical Metamaterials
    Mazur, Ekaterina
    Shishkovsky, Igor
    MATERIALS, 2022, 15 (16)
  • [3] Metamaterials with enhanced mechanical properties and tuneable Poisson's ratio
    Alomarah, Amer
    Masood, Syed H.
    Ruan, Dong
    SMART MATERIALS AND STRUCTURES, 2022, 31 (02)
  • [4] ANALYSIS OF MECHANICAL PROPERTIES IN NEGATIVE POISSON’S RATIO METAMATERIALS
    Huang, Jungang
    Li, Biao
    Journal of Mechanics of Materials and Structures, 2024, 19 (05) : 787 - 799
  • [5] Predicting mechanical responses of additively manufactured metamaterials with computational efficiency
    Xiao, Xinyi
    Li, Hongbin
    CIRP JOURNAL OF MANUFACTURING SCIENCE AND TECHNOLOGY, 2024, 52 : 149 - 158
  • [6] Asymmetric chiral and antichiral mechanical metamaterials with tunable Poisson's ratio
    Fleisch, Mathias
    Thalhamer, Andreas
    Meier, Gerald
    Fuchs, Peter Filipp
    Pinter, Gerald
    Schloegl, Sandra
    Berer, Michael
    APL MATERIALS, 2022, 10 (06)
  • [7] Modeling active adjustment of negative Poisson's ratio mechanical metamaterials
    Yao Y.
    Cong L.
    Wang H.
    Wang J.
    Fuhe Cailiao Xuebao/Acta Materiae Compositae Sinica, 2024, 41 (01): : 467 - 476
  • [9] Additively manufactured functional cylindrical metastructures with controllability in both thermal expansion and Poisson’s ratio
    Zhou, Ye
    Yang, Qidong
    Chen, Jiaxin
    Huang, Rongzheng
    Zhou, Hao
    Wang, Zhonggang
    Wei, Kai
    Virtual and Physical Prototyping, 2025, 20 (01)
  • [10] Predicting the Mechanical Behavior of Additively Manufactured Mechanical Metamaterials Using Point Cloud Representation Learning
    Ye, Zehao
    Liu, Xin
    Peng, Bo
    Kan, Chen
    JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING, 2024, 24 (06)