Multi-Objective Optimization for Piezoelectric-Based Approaches With Applications Toward Bladed Disks

Garrett K. Lopp, Jeffrey L. Kauffman
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Abstract

Recent years have seen a wealth of research interest in piezoelectric-based applications for turbomachinery blades covering areas including vibration actuators and sensors in test environments, as well as vibration reduction approaches. The success of these applications relies on efficient exchange of vibration energy between the mechanical and electrical domains through inclusion of the piezoelectric elements on the vibrating structure. The effective electromechanical coupling coefficient measures the quality of this energy exchange for the various vibration modes of the structure; however, there is often trade-offs between the size of the piezoelectric elements and the electromechanical coupling for the various modes of interest. As such, this paper applies a multi-objective optimization algorithm that generates Pareto-optimal fronts to aid in the selection of the optimal location of off-the-shelf piezoelectric patches on the surface of each blade of an academic blisk. As the off-the-shelf patches have a fixed geometry, this paper simplifies the optimization to only include the electromechanical coupling of the modes of interest. Both a numerical and experimental application of this optimization procedure to an 8-sector blisk machined from a single sheet of aluminum shows the effectiveness of the approach.
基于压电的多目标优化方法及其在叶片盘上的应用
近年来,人们对涡轮机械叶片的压电应用产生了浓厚的研究兴趣,研究领域包括测试环境中的振动致动器和传感器,以及减振方法。这些应用的成功依赖于通过在振动结构上包含压电元件在机械和电气领域之间有效地交换振动能量。有效机电耦合系数衡量了结构在不同振型下能量交换的质量;然而,对于各种感兴趣的模式,通常在压电元件的尺寸和机电耦合之间存在权衡。因此,本文采用一种生成pareto最优前沿的多目标优化算法,以帮助在学术圆盘的每个叶片表面选择现成压电片的最佳位置。由于现成的贴片具有固定的几何形状,本文将优化简化为仅包括感兴趣模式的机电耦合。将该优化方法应用于单铝片加工的8扇形圆盘的数值和实验结果表明了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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