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Identification and interpretation of material parameters of a shape memory alloy (SMA) model

机译:形状记忆合金(SMA)模型材料参数的识别和解释

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The thermomechanical behavior of Shape Memory Alloys (SMAs) is described by many micromechanical and phenomenological models. The first ones have material parameters whose physical meaning is based on the crystallography of the phase transformation related to the studied alloy. In contrast, phenomenological models often have material parameters whose physical meaning is not obvious and that makes them difficult to identify, some of which are based on mathematical considerations. In this paper, we propose to use the formulation of the phenomenological model of Chemisky et al., and to consider the particular case of a superelastic SMA. In this case, the constitutive equation should be easily expressed analytically through the strain tensor as a function of applied load direction and material parameters. The behavior is then characterized by a complete and proportional loading. This analytical model contains 7 material parameters, 1 related to the elasticity and 6 to the phase transformation. Based on several isothermal tensile tests at various temperatures, material parameters of this model are identified using the Levenberg-Marquardt algorithm and an analytical calculation of the sensitivity matrix. Their physical meaning and their influence on the thermomechanical behavior of the studied alloy are highlighted and discussed.
机译:形状记忆合金(SMAs)的热力学行为由许多微力学和现象学模型描述。第一个具有材料参数,其物理含义是基于与所研究合金有关的相变的晶体学。相反,现象学模型通常具有物质参数,这些物质参数的物理含义并不明显,因此很难识别,其中一些是基于数学考虑的。在本文中,我们建议使用Chemisky等人的现象学模型的表述,并考虑超弹性SMA的特殊情况。在这种情况下,本构方程应易于通过应变张量解析地表示为所施加载荷方向和材料参数的函数。然后,以完全和成比例的载荷为特征。该分析模型包含7个材料参数,其中1个与弹性有关,6个与相变有关。基于在不同温度下的几次等温拉伸试验,使用Levenberg-Marquardt算法和灵敏度矩阵的解析计算来确定该模型的材料参数。重点讨论了它们的物理意义及其对所研究合金热机械行为的影响。

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