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Identification of interface failure mechanisms of metallized glass fibre reinforced composites using acoustic emission analysis

机译:利用声发射分析识别金属化玻璃纤维增​​强复合材料的界面破坏机理

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摘要

In this work, interface failure mechanisms of metallized glass fibre reinforced epoxy composites were investigated using acoustic emission analysis. Sandblasting with Al_2O_3 was used to pre-treat the composite surface. The sandblasting time was varied from 2 s to 6 s. A two-step metallization process consisting of electroless and subsequent electroplating was used for depositing the copper coating on the pre-treated composite surface. A significant increase in adhesion strength was obtained due to the sandblasting pre-treatment. SEM and light microscopic investigations confirmed the results of the surface roughness and peel strength. The acoustic emission (AE) from the coating-substrate system was recorded during peel testing to characterize interfacial failure. AE-Signals were analyzed using pattern recognition and frequency analysis techniques. A correlation between the cumulative absolute AE-energy and the surface roughness/peel strength was successfully observed. It was shown that the absolute AE-energy is sensitive to changes in the surface topography and therefore peel strength, and the method is thus suitable for evaluating the peel strength of copper coated glass fibre reinforced composites. Furthermore, two different failure mechanisms could be correlated with the results from AE signal analysis, namely adhesive and cohesive failure. Differences in peak frequency, frequency distribution and the use of pattern recognition techniques allowed classifying the recorded signals. The classified failure mechanisms were confirmed by light microscopic images.
机译:在这项工作中,使用声发射分析研究了金属化玻璃纤维增​​强环氧复合材料的界面破坏机理。用Al_2O_3喷砂处理对复合材料表面进行预处理。喷砂时间从2秒到6秒不等。使用由化学镀和随后的电镀组成的两步​​金属化工艺,将铜涂层沉积在预处理的复合材料表面上。由于进行了喷砂预处理,粘合强度得到了显着提高。 SEM和光学显微镜研究证实了表面粗糙度和剥离强度的结果。在剥离测试期间记录了涂层-基材系统的声发射(AE),以表征界面破坏。使用模式识别和频率分析技术对AE信号进行了分析。成功地观察到累积的绝对AE能量与表面粗糙度/剥离强度之间的相关性。结果表明,绝对AE能量对表面形貌的变化敏感,因此对剥离强度敏感,因此该方法适用于评估覆铜玻璃纤维增​​强复合材料的剥离强度。此外,两种不同的失效机制可以与AE信号分析的结果相关联,即粘合失效和内聚失效。峰值频率,频率分布和模式识别技术的使用差异允许对记录的信号进行分类。通过光学显微镜图像证实了分类的失效机理。

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  • 来源
    《Composites》 |2014年第11期|443-452|共10页
  • 作者单位

    University of Bayreuth, Department of Polymer Engineering, Universitaetsstrasse 30, 95447 Bayreuth, Germany;

    University of Bayreuth, Department of Polymer Engineering, Universitaetsstrasse 30, 95447 Bayreuth, Germany;

    SKZ-KFE gGmbH, Friedrich-Bergius-Ring 22, 97076 Wuerzburg, Germany;

    Lueberg Elektronik GmbH & Co. Rothfischer KG, Hans-Striegl-Strasse 3, 92637 Weiden, Germany;

    University of Bayreuth, Department of Polymer Engineering, Universitaetsstrasse 30, 95447 Bayreuth, Germany;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    A. Glass fibres; A. Thermosetting resin; D. Acoustic emission; B. Adhesion; Metallization;

    机译:A.玻璃纤维;A.热固性树脂;D.声发射;B.附着力;金属化;

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