Superelasticity and stability of a shape memory alloy hexagonal honeycomb under in-plane compression

Superelasticity and stability of a shape memory alloy hexagonal honeycomb under in-plane compression
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DOI:
10.1016/j.ijsolstr.2009.03.013
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发表时间:
2009-06
影响因子:
3.6
通讯作者:
P. Michailidis;N. Triantafyllidis;J. Shaw;D. Grummon
P. Michailidis;N. Triantafyllidis;J. Shaw;D. Grummon
中科院分区:
工程技术2区
文献类型:
--
作者:
P. Michailidis;N. Triantafyllidis;J. Shaw;D. Grummon

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镍钛诺(NiTi)形状记忆合金蜂窝,用一种新的钎焊方法在低密度制造[Grummon, D., Shaw, J., Foltz, J., 2006]。用铌反应共晶钎焊制备细胞形状记忆合金材料。陈晓明,陈晓明,陈晓明,等。复合材料的超弹性性能研究[J] .材料科学与工程,2007b。超弹性镍钛蜂窝:制造与实验。智能材料与结构[16],[17]-[17]。这种自适应、轻量化的细胞结构的实现为设计和新应用开辟了有趣的可能性。本文通过分析特定六边形薄壁SMA蜂窝在平面内压缩下的超弹性行为的多尺度稳定性,解决了工程师对设计和模拟工具的需求,以便有效地利用这种结构。深入研究了不同物质规律对具有完美初始几何形状和不完美初始几何形状的有限和无限范围的蜂窝性能的影响。提出了一种基于有限元的模拟方法,可以可靠地捕捉到实验中看到的行为。
Nitinol (NiTi) shape memory alloy honeycombs, fabricated in low densities using a new brazing method [Grummon, D., Shaw, J., Foltz, J., 2006. Fabrication of cellular shape memory alloy materials by reactive eutectic brazing using niobium. Materials Science and Engineering A 438–440, 1113–1118], recently demonstrated enhanced shape memory and superelastic properties [Shaw, J. A., Grummon, D. S., Foltz, J., 2007b. Superelastic NiTi honeycombs: Fabrication and experiments. Smart Materials and Structures 16, S170–S178] by exploiting kinematic amplification of thin-walled deformations. The realization of such adaptive, light-weight cellular structures opens interesting possibilities for design and novel applications. This paper addresses the consequent need for design and simulation tools for engineers to make effective use of such structures by, as a first step, analyzing the multi-scale stability aspects of the superelastic behavior of a particular hexagonal, thin-walled, SMA honeycomb under in-plane compression. An in-depth parameter study is performed of the influence of different material laws on the behavior of honeycombs of finite and infinite extent with perfect and imperfect initial geometries. A finite element-based simulation is presented that credibly captures the behavior seen in experiments.