复合材料科学与工程 ›› 2025, Vol. 0 ›› Issue (7): 33-40.DOI: 10.19936/j.cnki.2096-8000.20250728.005

• 基础与力学性能研究 • 上一篇    下一篇

空心玻璃微珠填充环氧树脂复合泡沫材料压缩模量研究

王烨煊1, 高双2, 高进城2*, 杨钒3,4, 丁安心3,4   

  1. 1.海装沈阳局驻葫芦岛地区某军事代表室,葫芦岛 125000;
    2.武汉第二船舶设计研究所,武汉 430061;
    3.武汉理工大学 材料科学与工程学院,武汉 430070;
    4.武汉理工大学 材料复合新技术国家重点实验室,武汉 430070
  • 收稿日期:2024-05-24 出版日期:2025-07-28 发布日期:2025-08-22
  • 通讯作者: 高进城(1994—),男,硕士,主要从事船体结构计算与仿真方面的研究,gaojincheng94@163.com。
  • 作者简介:王烨煊(1994—),男,硕士,研究方向为船体结构。
  • 基金资助:
    湖北省重大科技攻关项目(尖刀2023BAA004)

Investigation on compression modulus of epoxy resin syntactic foam filled with hollow glass microspheres

WANG Yexuan1, GAO Shuang2, GAO Jincheng2*, YANG Fan3,4, DING Anxin3,4   

  1. 1. Some Military Representative Office in Huludao of Shenyang Bureau of Naval Equipment Department, Huludao 125000, China;
    2. Wuhan Second Ship Design and Research Institute, Wuhan 430061, China;
    3. School of Materials Science and Engineering, Wuhan University of Technology, Wuhan 430070, China;
    4. State Key Laboratory of Advanced Technology for Materials Synthesis and Processing, Wuhan University of Technology, Wuhan 430070, China
  • Received:2024-05-24 Online:2025-07-28 Published:2025-08-22

摘要: 压缩模量是评估空心玻璃微珠填充环氧树脂复合泡沫材料力学性能的关键指标之一,准确预测其幅值对于工程应用具有重要意义。本文通过系统的压缩实验,研究了不同体积分数玻璃微珠填充环氧树脂复合泡沫材料力学压缩模量的变化,并将实验结果与Nielsen模型、线性模型以及平方律加和模型的预测值进行了对比。结果表明:对于玻璃微珠体积分数高于30%的体系,线性模型预测的复合泡沫材料的压缩模量误差最小,但低体积分数样品玻璃微珠分布不均匀,导致线性模型预测值出现较大偏差;对于低体积分数样品,采用Nielsen模型的预测结果相对准确;相比之下,平方律加和模型预测的空心玻璃微珠填充环氧树脂复合泡沫材料压缩模量误差最大。

关键词: 复合泡沫材料, 空心玻璃微珠, 环氧树脂, 压缩模量

Abstract: Compression modulus is one of the key mechanical properties of epoxy resin composites filled with hollow glass microspheres, the prediction of compression modulus has certain engineering research significance. In this paper, the compression modulus of epoxy resin composites filled with different volume fraction of hollow glass microspheres were experimentally investigated, followed by the comparison with the predicted values using Nielsen model and the linear model as well as the square law summation model. The results show that the theoretically predicted values using linear model exhibit the lowest error for samples with volume fraction of hollow glass microspheres exceeding 30%. However, for samples with lower volume fractions, the predicted values deviate significantly due to the obvious misattribution of glass microspheres. In contrast, the Nielsen model provides relatively accurate predictions for samples with lower volume fraction of hollow glass microspheres. Among the three models, the square law summation model exhibits the largest deviation in estimating the compression modulus of epoxy resin composites filled with hollow glass microspheres.

Key words: syntactic foam, hollow glass microbeads, epoxy resin, compression modulus

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