飞机变形用SMA扭致动器参数优化

Christopher Summers, Jonathan M. Weaver-Rosen, Anargyros Karakalas, R. Malak, D. Lagoudas
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摘要

通过引入能够模仿生物系统(如鸟类)运作的高适应性多功能系统,可以极大地促进高效、环保、安静和成本效益更高的新型航空运输设计。改变飞机的外模线(OML)允许在广泛的操作条件下实现最佳响应。在美国国家航空航天局资助的“革命性民用超音速运输的自适应航空结构”项目框架下,研究了一种由形状记忆合金(SMA)致动器控制的铰接式面板机构,以降低商用飞机在超音速飞行时产生的音爆的感知响度。设想一对SMA扭矩管来诱导面板所需的旋转,以实现理想的OML形状。然而,诸如最小化功耗、质量和冷却时间等设计目标经常相互竞争,而最佳尺寸的选择既不基本也不直接。在本文的研究中,定义并实现了SMA扭矩管作为大型变形结构的一部分的优化设计案例。在设计的早期阶段,工程师经常面临着在信息不完整的情况下做出决策的挑战。例如,设计人员必须知道气动载荷才能选择最佳尺寸,但气动载荷取决于飞机尺寸。为了在设计初期进行详细的优化,可以使用参数化优化来求解参数化Pareto边界。这种参数化的帕累托边界允许设计师探索传统的帕累托边界如何随着外生参数(其值尚不完全已知)的变化而变化。在本工作中,工程师控制的设计变量是扭矩管的尺寸,即长度、内径和厚度。目标是尽量减少冷却时间和最大限度地提高刚性。设计者控制之外的外生参数包括所需的驱动行程和气动力。结果显示了参数对客观权衡的影响,并演示了工程师如何在参数值已知的情况下选择最优解。
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Parametric Optimization of SMA Torsional Actuators for Aircraft Morphing Applications
Novel design of more efficient, environmentally friendly, quiet, and cost-effective air transportation could be substantially benefited by introducing highly adaptive, multi-functional systems that are able to mimic the operation of biological systems, like birds. Altering the Outer Mold Line (OML) of an aircraft allows for achieving the optimal response under a wide range of operational conditions. In the framework of the “Adaptive Aerostructures for Revolutionary Civil Supersonic Transportation” project funded by NASA, an articulated panel mechanism controlled by Shape Memory Alloy (SMA) actuators is investigated as a means for reducing the perceived loudness of the sonic boom produced by a commercial aircraft when flying at supersonic speeds. A pair of SMA torque tubes is envisioned to induce the required rotation of the panels in order to achieve the desirable OML shapes. However, design objectives such as minimizing power consumption, mass, and cooling time are often competing and the selection of the optimal dimensions is neither elementary nor straightforward. In the research conducted herein, a case study is defined and realized for the optimal design of the SMA torque tubes as part of a larger morphing structure. In the early stages of design, engineers are often faced with the challenge of making decisions with incomplete information. For example, the designer must know the aerodynamic loads to choose the optimal dimensions, but the aerodynamic loads depend on aircraft dimensions. To enable detailed optimization in the early design stages, parametric optimization can be used to solve for the parameterized Pareto frontier. This parameterized Pareto frontier allows a designer to explore how the traditional Pareto frontier might change as exogenous parameters (the values of which are not yet fully known) change. In this work, the design variables under the control of the engineer are the dimensions of the torque tube, i.e. length, inner diameter, and thickness. The objectives are to minimize cooling time and maximize rigidity. The exogenous parameters outside of the designer’s control include the required actuation stroke and aerodynamic forces. Results show the effects of parameters on the objective tradeoffs and demonstrate how an engineer can choose an optimal solution once the parameter values are known.
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