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Design optimization of shape memory alloy active structures using the R-phase transformation

机译:利用R相变换优化形状记忆合金有源结构的设计。

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This article illustrates the opportunities that combining computational modeling and systematic design opti-mization techniques offer to facilitate the design process of shape memory alloy (SMA) structures. Focus is on shape memory behavior due to the R-phase transformation in Ni-Ti, for which a dedicated constitutive model is formulated. In this paper, efficient topology and shape optimization procedures for the design of SMA devices are described. In order to achieve fast convergence to optimized designs, sensitivity information is computed to allow the use of gradient-based optimization algorithms. The effectiveness of the various optimization procedures is illustrated by numerical examples, including the design of a miniature SMA gripper and a steerable SMA active catheter. It is shown that design optimization enables designers of SMA structures to systematically enhance the performance of SMA devices for a variety of applications.
机译:本文说明了将计算建模与系统设计优化技术相结合可提供的机会,以促进形状记忆合金(SMA)结构的设计过程。由于Ni-Ti中的R相转变,因此重点研究了形状记忆行为,为此制定了专用的本构模型。在本文中,描述了用于SMA设备设计的有效拓扑和形状优化过程。为了实现对优化设计的快速收敛,计算敏感度信息以允许使用基于梯度的优化算法。数值示例说明了各种优化程序的有效性,其中包括微型SMA夹具和可转向SMA主动导管的设计。结果表明,设计优化使SMA结构的设计人员能够针对各种应用系统地提高SMA器件的性能。

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