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Porous Shape Memory Alloy: 3D Reconstitution and Numerical Simulation of Superelastic Behavior

机译:多孔形状记忆合金:3D重构与超弹性行为的数值模拟

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As a new class of metallic foam materials have attracted increasing interest in different fields of engineering. They are particularly versatile because of their interesting mechanical and physical properties: relative low density makes it possible to obtain a high stiffness/weight radio, existence of cavities results in the abilities of energy absorption and of damping, and also gives them thermal and acoustic insulation properties. As a well-known material for reversible inelastic deformation, shape memory alloys (SMA) have been paid attention on over last few years. They possess two important properties: superelasticity and shape memory effect. Cellular structures in SMAs are particularly interesting for their potential to provide superelasticity and shape memory effect in a lightweight material. In this work, 3D foam CAD structure of NiTi material is reconstituted using ellipsoid cell units. A "taking" and "placing" algorithm based on uniform distribution and normal distribution is adopted for the reconstitution process of Representative Volume Element (RVE). In the RVE, dimensions, positions, and orientations are all random. A constitutive model for shape memory alloy including phase transformation, martensitic reorientation and twins accommodation is used to simulate by the finite element analysis the superelastic behavior of the SMA foam. In order to show the efficiency of the proposed methodology, some applications are presented to simulate the compression of shape memory alloy foam. The effects of porosity, size, orientation, and ratio of long and axes short of the unit cell on the superelastic behavior of porous material are discussed.
机译:作为一类新的金属泡沫材料引起了对不同工程领域的兴趣越来越兴趣。它们特别多样化,因为它们有趣的机械和物理性质:相对低密度使得可以获得高刚度/重量的无线电,腔的存在导致能量吸收和阻尼的能力,并且还给出了热和声学绝缘特性。作为可逆非弹性变形的众所周知的材料,造型记忆合金(SMA)在过去几年中受到关注。它们具有两个重要的特性:超弹性和形状记忆效果。 SMA中的蜂窝结构对于它们在轻质材料中提供超弹性和形状记忆效果特别有趣。在这项工作中,使用椭圆体单元重建3D泡沫CAD结构的NITI材料。基于均匀分布和正态分布的“采取”和“放置”算法用于代表体积元素(RVE)的重建过程。在rve,尺寸,位置和方向都是随机的。包括相变,马氏体重新定向和双胞胎容纳的形状记忆合金的本构体型模型用于通过有限元分析SMA泡沫的超弹性行为来模拟。为了展示所提出的方法的效率,提出了一些应用来模拟形状记忆合金泡沫的压缩。讨论了孔隙率,尺寸,取向和单位电池短路和轴短轴的比率对多孔材料的超弹性行为。

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