Enhancing CFRP damping with graphene nanoplatelets: experiments versus finite element analysis.

IF 2.9 4区 材料科学 Q3 MATERIALS SCIENCE, MULTIDISCIPLINARY
Ch V Katsiropoulos, G I Giannopoulos, P Pappas, C Galiotis
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引用次数: 0

Abstract

This study investigates the enhancement of damping properties in carbon fiber-reinforced polymer (CFRP) composites by incorporating graphene nanoplatelets (GNPs) into the epoxy matrix. Epoxy and CFRP specimens with varying GNP concentrations, were developed and tested through free vibration experiments to measure damping ratios. Additionally, a computational model based on the finite element method was developed to simulate the damping behavior of these hybrid nanocomposites. Using periodic representative volume elements under sinusoidal axial loads, the model accurately predicted damping performance by calculating the time lag between applied loads and resulting deformations. Comparison of numerical results with experimental data revealed a strong correlation, confirming the model's effectiveness in capturing the influence of GNP mass fraction on damping enhancement.

石墨烯纳米片增强碳纤维增强材料阻尼:实验与有限元分析。
本研究通过将石墨烯纳米片(GNPs)加入到环氧基中,研究了碳纤维增强聚合物(CFRP)复合材料的阻尼性能。开发了不同GNP浓度的环氧树脂和CFRP试件,并通过自由振动实验进行了测试,以测量阻尼比。此外,建立了基于有限元法的计算模型来模拟这些混杂纳米复合材料的阻尼行为。该模型采用周期性代表性体积单元(RVEs),在正弦轴向载荷作用下,通过计算载荷与变形之间的时滞,准确预测阻尼性能。数值结果与实验数据的比较显示了很强的相关性,证实了该模型在捕捉GNP质量分数对阻尼增强的影响方面的有效性。
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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来源期刊
Nanotechnology
Nanotechnology 工程技术-材料科学:综合
CiteScore
7.10
自引率
5.70%
发文量
820
审稿时长
2.5 months
期刊介绍: The journal aims to publish papers at the forefront of nanoscale science and technology and especially those of an interdisciplinary nature. Here, nanotechnology is taken to include the ability to individually address, control, and modify structures, materials and devices with nanometre precision, and the synthesis of such structures into systems of micro- and macroscopic dimensions such as MEMS based devices. It encompasses the understanding of the fundamental physics, chemistry, biology and technology of nanometre-scale objects and how such objects can be used in the areas of computation, sensors, nanostructured materials and nano-biotechnology.
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