Simulation of a Composite Piezoelectric and Glass Fiber Reinforced Polymer Beam for Adaptive Stiffness Applications

Srinivas Koushik Gundimeda, S. Kunc, J. Gallagher, R. Fragoudakis
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引用次数: 3

Abstract

Glass Fiber Reinforced Polymer (GFRP) beams have shown over a 20% decrease in weight compared to more traditional materials without affecting system performance or fatigue life. These beams are being studied for use in automobile leaf-spring suspension systems to reduce the overall weight of the car therefore increasing fuel efficiency. These systems are subject to large amplitude mechanical vibrations at relatively constant frequencies, making them an ideal location for potential energy scavenging applications. This study analyses the effect on performance of GFRP beams by substituting various composite layers with piezoelectric fiber layers and the results on deflection and stiffness. Maximum deflection and stress in the beam is calculated for varying the piezoelectric fiber layer within the beam. Initial simulations of a simply supported multimorph beam were run in ABAQUS/CAE. The beam was designed with symmetric piezoelectric layers sandwiching a layer of S2-glass fiber reinforced polymer and modeled after traditional mono leaf-spring suspension designs with total dimensions 1480 × 72 × 37 mm3, with 27 mm camber. Both piezoelectric and GFRP layers had the same dimensions and initially were assumed to have non-directional bulk behavior. The loading of the beam was chosen to resemble loading of a leaf spring, corresponding to the stresses required to cycle the leaf at a stress ratio between R = 0.2 and 0.4, common values in heavy-duty suspension fatigue analysis. The maximum stresses accounted for are based on the monotonic load required to set the bottom leaf surface under tension. These results were then used in a fiber orientation optimization algorithm in Matlab. Analysis was conducted on a general stacking sequence [0°/45°]s, and stress distributions for cross ply [0°/90°]s, and angle ply [+45°/−45°]s were examined. Fiber orientation was optimized for both the glass fiber reinforced polymer layer to maximize stiffness, and the piezoelectric fiber layers to simultaneously minimize the effect on stiffness while minimizing deflection. Likewise, these fibers could be activated through the application of electric field to increase or decrease the stiffness of the beam. The optimal fiber orientation was then imported back into the ABAQUS/CAE model for a refined simulation taking into account the effects of fiber orientation on each layer.
基于自适应刚度的压电-玻璃纤维增强聚合物复合梁的仿真研究
与更传统的材料相比,玻璃纤维增强聚合物(GFRP)梁的重量减少了20%以上,而不会影响系统性能或疲劳寿命。这些梁正在研究用于汽车片簧悬架系统,以减少汽车的总重量,从而提高燃油效率。这些系统在相对恒定的频率下承受较大幅度的机械振动,使其成为势能清除应用的理想场所。本文分析了用压电纤维层代替各种复合材料层对GFRP梁性能的影响以及对挠度和刚度的影响。通过改变梁内的压电纤维层数,计算了梁内的最大挠度和应力。在ABAQUS/CAE软件中对简支多变形梁进行了初步仿真。该梁采用对称压电层夹在一层s2 -玻璃纤维增强聚合物中,采用传统的单片弹簧悬架设计,总尺寸为1480 × 72 × 37 mm3,弯曲度为27 mm。压电层和玻璃钢层具有相同的尺寸,并且最初假设具有非定向体行为。梁的载荷被选择为类似于钢板弹簧的载荷,对应于在应力比R = 0.2和0.4之间循环叶片所需的应力,这是重载悬架疲劳分析中的常用值。所考虑的最大应力是基于在张力下设置底叶表面所需的单调载荷。然后将这些结果用于Matlab中的纤维取向优化算法。分析了一般堆积顺序[0°/45°]s,并对交叉铺层[0°/90°]s和角度铺层[+45°/−45°]s的应力分布进行了研究。对玻璃纤维增强聚合物层和压电纤维层的纤维取向进行了优化,以最大限度地提高刚度,同时最大限度地减少挠度。同样,这些纤维也可以通过施加电场来激活,从而增加或减少梁的刚度。然后将最优纤维取向导入ABAQUS/CAE模型中,考虑纤维取向对每层的影响,进行精细模拟。
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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