Abstract The paper proposes an efficient methodology that allows to design smart deformable aeronautical configurations that are able to achieve pre-defined target shapes by adjusting the temperature of Shape Memory Alloy (SMA) actuators. SMA-based actuation finds extensive application in morphing concepts which are adopted in aeronautics to enhance the aerodynamic performance by continuously varying the geometry of the wing. A novel robust algorithm, developed for predicting the nonlinear response of the SMA-structure interaction problem is presented. The algorithm is coupled with an optimization method in order to predict the optimal structural and operational parameters with respect to target shapes of the controlled configuration. The design methodology presented in this study selects the design parameters of the problem at hand, i.e. the location of the actuators and the operating temperature, for given loading conditions. The proposed methodology is validated and demonstrated with three case studies, including the design of a real-world aeronautical configuration.

中文翻译：

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使用形状记忆合金执行器的航空配置的形状控制和设计

摘要 本文提出了一种有效的方法，允许设计智能可变形航空配置，该配置能够通过调整形状记忆合金 (SMA) 执行器的温度来实现预定义的目标形状。基于 SMA 的驱动在航空学中采用的变形概念中得到了广泛的应用，通过不断改变机翼的几何形状来增强空气动力学性能。提出了一种新的鲁棒算法，用于预测 SMA 结构相互作用问题的非线性响应。该算法与优化方法相结合，以预测与受控配置的目标形状相关的最佳结构和操作参数。本研究中提出的设计方法选择了手头问题的设计参数，即 对于给定的负载条件，执行器的位置和工作温度。提议的方法通过三个案例研究得到验证和证明，包括真实世界航空配置的设计。