碳黑/超高分子量聚乙烯纳米复合材料有效弹性性能的中尺度模型

IF 5.7 1区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY International Journal of Engineering Science Pub Date : 2024-10-08 DOI:10.1016/j.ijengsci.2024.104159
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引用次数: 0

摘要

本文应用中尺度数值模型预测导电碳黑/超高分子量聚乙烯纳米复合材料的有效弹性特性。模型基于 X 射线微计算机断层扫描图像。图像显示,在所考虑的碳添加剂重量分数范围内,导电碳黑(CB)颗粒分布在超高分子量聚乙烯(UHMWPE)颗粒周围,形成厚度约为 1-2 μm 的含碳层。RVE 是根据从处理过的微计算机断层扫描图像中提取的尺寸和形状统计数据生成的,并通过自定义图像处理代码进一步加入了含 CB 层。该层通过分析建模为两相复合材料,由分布在超高分子量聚乙烯基体中的球形 CB 夹杂物组成。模型预测的弹性模量与实验数据进行了比较。结果表明,数值模拟预测的有效弹性模量在实验测量值的置信区间内,最高可达 7.5 wt % 的 CB 夹杂。
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Mesoscale models for effective elastic properties of carbon-black/ultra-high-molecular-weight-polyethylene nanocomposites
In this paper, we apply mesoscale numerical modeling to predict the effective elastic properties of conductive carbon-black/ultra-high-molecular-weight-polyethylene nanocomposites. The models are based on X-ray microcomputed tomography images. The images show that for the considered range of carbon additive weight fractions, the conductive carbon black (CB) particles are distributed around the ultra-high-molecular-weight-polyethylene (UHMWPE) granules forming a carbon-containing layer of a thickness on the order of 1–2 μm.
Finite element models of representative volume elements (RVE), incorporating the CB-containing layer, are developed. The RVEs are generated based on the size and shape statistics extracted from processed microcomputed tomography images with further incorporation of the CB-containing layer by a custom image processing code. The layer is modeled analytically as a 2-phase composite consisting of spherical CB inclusions distributed in the UHMWPE matrix. Elastic moduli predicted in the models are compared to experimental data. Results show that the numerical simulations predict effective elastic moduli within the confidence intervals of the experimental measurements up to 7.5 wt % of CB inclusions.
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来源期刊
International Journal of Engineering Science
International Journal of Engineering Science 工程技术-工程:综合
CiteScore
11.80
自引率
16.70%
发文量
86
审稿时长
45 days
期刊介绍: The International Journal of Engineering Science is not limited to a specific aspect of science and engineering but is instead devoted to a wide range of subfields in the engineering sciences. While it encourages a broad spectrum of contribution in the engineering sciences, its core interest lies in issues concerning material modeling and response. Articles of interdisciplinary nature are particularly welcome. The primary goal of the new editors is to maintain high quality of publications. There will be a commitment to expediting the time taken for the publication of the papers. The articles that are sent for reviews will have names of the authors deleted with a view towards enhancing the objectivity and fairness of the review process. Articles that are devoted to the purely mathematical aspects without a discussion of the physical implications of the results or the consideration of specific examples are discouraged. Articles concerning material science should not be limited merely to a description and recording of observations but should contain theoretical or quantitative discussion of the results.
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