All-polymer syntactic foams: Linking large strain cyclic experiments to Quasilinear Viscoelastic modelling for materials characterisation

IF 12.7 1区 材料科学 Q1 ENGINEERING, MULTIDISCIPLINARY Composites Part B: Engineering Pub Date : 2024-10-11 DOI:10.1016/j.compositesb.2024.111866
Sy-Ngoc Nguyen , Riccardo De Pascalis , Zeshan Yousaf , William J. Parnell
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Abstract

The time-dependent behaviour of polymeric composites is critical in a broad range of applications, including those in marine, aerospace, and automotive environments. In the present study, we assess the validity of the quasi-linear viscoelastic (QLV) model to fit the stress–strain behaviour of all-polymer syntactic foams under large cyclic compressional strain in a novel experimental configuration. These syntactic foams were manufactured by adding hollow polymer microspheres of various sizes and wall thicknesses into a polyurethane matrix. These materials are known for their relatively large initial stiffness, and strong recoverability after large strains. In the QLV model, several strain energy functions (SEFs) were employed, including neo-Hookean, Ogden type I, and type II. The bulk and shear moduli are presented in the form of a Prony series. By estimating these experimental data using optimisation, the natural viscoelastic material properties and coefficients associated with the SEF were determined. The influence of the microsphere filling fraction was also explored. We show that at the strain rate considered here of 0.013 s1, the compressible QLV model coupled with the Ogden-I SEF is capable of providing an excellent fit to experimental data. Critically, this fit can be achieved over a range of cycles via model optimisation to the first cyclic response only.
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全聚合物合成泡沫:将大应变循环实验与用于材料表征的准线性粘弹性建模联系起来
在包括海洋、航空航天和汽车环境在内的广泛应用中,聚合物复合材料随时间变化的行为至关重要。在本研究中,我们评估了准线性粘弹性(QLV)模型的有效性,该模型适合全聚合物合成泡沫在一种新型实验配置中的大循环压缩应变下的应力-应变行为。这些合成泡沫是通过在聚氨酯基体中加入不同尺寸和壁厚的中空聚合物微球制造而成的。这些材料以其相对较大的初始刚度和较大应变后的较强恢复能力而闻名。在 QLV 模型中,采用了多种应变能函数 (SEF),包括新胡克式、奥格登 I 型和 II 型。体积模量和剪切模量以 Prony 系列的形式呈现。通过优化估计这些实验数据,确定了与 SEF 相关的天然粘弹性材料特性和系数。我们还探讨了微球填充分数的影响。我们发现,在 0.013 s-1 的应变速率下,与奥格登-I SEF 相结合的可压缩 QLV 模型能够很好地拟合实验数据。重要的是,通过对第一个循环响应进行模型优化,这种拟合可以在一定的循环范围内实现。
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来源期刊
Composites Part B: Engineering
Composites Part B: Engineering 工程技术-材料科学:复合
CiteScore
24.40
自引率
11.50%
发文量
784
审稿时长
21 days
期刊介绍: Composites Part B: Engineering is a journal that publishes impactful research of high quality on composite materials. This research is supported by fundamental mechanics and materials science and engineering approaches. The targeted research can cover a wide range of length scales, ranging from nano to micro and meso, and even to the full product and structure level. The journal specifically focuses on engineering applications that involve high performance composites. These applications can range from low volume and high cost to high volume and low cost composite development. The main goal of the journal is to provide a platform for the prompt publication of original and high quality research. The emphasis is on design, development, modeling, validation, and manufacturing of engineering details and concepts. The journal welcomes both basic research papers and proposals for review articles. Authors are encouraged to address challenges across various application areas. These areas include, but are not limited to, aerospace, automotive, and other surface transportation. The journal also covers energy-related applications, with a focus on renewable energy. Other application areas include infrastructure, off-shore and maritime projects, health care technology, and recreational products.
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