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Shape Memory Behavior of NiMnGa/Epoxy Smart Composites

机译:NiMnGa /环氧树脂智能复合材料的形状记忆行为

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摘要

A new type of smart composite developed in our group was studied in terms of shape memory behavior. The smart composites were composed of NiMnGa ferromagnetic shape memory alloy particles (FSMAP) and a polymer matrix, where NiMnGa FSMAP will bring shape memory effect and the matrix polymer enhances ductility. Two kinds of NiMnGa were selected by taking the phase constitution into account (parent or martensite state at room temperature). The shape memory properties are reported in terms of transformation temperature, powder size, applied stress and heating/cooling rate. It was found that martensitic transformation temperatures of the smart composites obtained by differential scanning calorimetry (DSC) were almost equal to those of NiMnGa FSMAPs. The shape recovery of the composites was confirmed in the strain-temperature curves obtained by dynamic mechanical analysis. Clear shape change was recognized corresponding to the martensitic transformation temperatures. The shape memory properties depend on heating/cooling rate, particle size and applied stress. Lower heating/cooling rate and smaller particle size brings better shape memory properties. This is because thermal conductivity of polymer is low and the amount of defects such as pores introduced during curing decreases with decreasing particle size. The improvement of processing is needed to reduce material defects.
机译:我们根据形状记忆行为研究了我们小组开发的新型智能复合材料。智能复合材料由NiMnGa铁磁形状记忆合金颗粒(FSMAP)和聚合物基体组成,其中NiMnGa FSMAP将带来形状记忆效应,并且基体聚合物可增强延展性。通过考虑相组成(室温下的母体或马氏体状态)选择两种NiMnGa。根据转变温度,粉末尺寸,施加的应力和加热/冷却速率报告了形状记忆性能。发现通过差示扫描量热法(DSC)获得的智能复合材料的马氏体转变温度几乎等于NiMnGa FSMAP的马氏体转变温度。通过动态力学分析获得的应变温度曲线证实了复合材料的形状恢复。识别出明显的形状变化,对应于马氏体转变温度。形状记忆特性取决于加热/冷却速率,粒度和施加的应力。较低的加热/冷却速率和较小的粒度可带来更好的形状记忆性能。这是因为聚合物的导热率低,并且固化期间引入的缺陷(例如孔)的数量随着粒径的减小而减少。需要改进处理以减少材料缺陷。

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