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DESIGN OF MULTI-DEGREE-OF-FREEDOM PLANAR MORPHING MECHANISMS WITH SINGLE-DEGREE-OF-FREEDOM SUB-CHAINS

机译:单自由度子链的多自由度平面变形机理的设计

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This paper deals with the synthesis of multi-degree-of-freedom planar mechanisms by breaking the problem into the synthesis of multiple single-degree-of-freedom planar mechanisms. Specifically, this paper investigates synthesizing shape-changing mechanisms capable of matching multiple closed profiles with significant changes in shape. These mechanisms can be used for applications such as morphing wings or morphing dies for polymer extrusion. Well established synthesis techniques for single-degree-of-freedom planar mechanisms are used and reviewed for completeness. The paper then compares multiple forms of two optimization techniques used to find suitable mechanisms. The problems investigated herein are highly nonlinear and highly constrained; therefore, advanced optimization strategies are needed. This paper uses both gradient-based optimization and a genetic algorithm (GA) to find mechanisms capable of matching the design profiles. It also looks at additions to the GA that leverage the presence of the single-degree-of-freedom sub-chains. The gradient-based optimization and GA with additions were able to find mechanisms with better matching error than the blind GA. However, the improvement was modest and not always present, indicating that it is likely best to start with the blind GA and introduce gradient-based optimization, additions to the GA, and changes in the setting as needed to improve results.
机译:本文通过将问题分解为多个单自由度平面机构的合成来处理多自由度平面机构的合成。具体来说,本文研究了能够使形状变化显着的多个闭合轮廓匹配的合成形状改变机制。这些机制可用于诸如变形翼或用于聚合物挤出的变形模头的应用。使用完善的单自由度平面机构综合技术,并进行完整性审查。然后,本文比较了两种用于查找合适机制的优化技术的多种形式。本文研究的问题是高度非线性的且高度受限的。因此,需要高级的优化策略。本文同时使用基于梯度的优化和遗传算法(GA)来找到能够匹配设计轮廓的机制。它还考察了利用单自由度子链的GA的新增功能。与基于梯度的遗传算法相比,基于梯度的优化和遗传算法能够找到匹配误差更好的机制。但是,这种改进是适度的,并不总是存在的,这表明最好是从盲目GA入手,并引入基于梯度的优化,对GA的添加以及根据需要更改设置以改善结果。

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