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Shape Memory Effect of Benchmark Compliant Mechanisms Designed With Topology optimization

机译:通过拓扑优化设计的基准兼容机制的形状记忆效应

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Shape Memory Alloys (SMA) are a class of Smart Materials that are ideal for creating compact actuators. The complex nature of their behavior results in the use of these materials in simple geometries (wires, sheets) limiting their performances. A design method to develop complex compliant mechanisms made of SMA is proposed in this paper. Using topology optimization for conventional materials, a set of benchmark problems are designed. Finite element modelling is then able to validate the shape memory effect of the designs (with strain retention up to 80%), confirming the notion that this methodology can, in fact, be used to design the next generation of SMA actuators.
机译:形状记忆合金(SMA)是一类智能材料,是创建紧凑型执行器的理想选择。它们行为的复杂性导致这些材料以简单的几何形状(线,片)使用,从而限制了它们的性能。本文提出了一种开发由SMA制成的复杂顺应性机构的设计方法。通过对常规材料使用拓扑优化,可以设计出一系列基准问题。然后,有限元建模能够验证设计的形状记忆效果(应变保持率高达80%),从而证实了这种方法实际上可以用于设计下一代SMA执行器的观念。

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