Fatigue crack initiation around inclusions for a carbon black filled natural rubber: an analysis based on micro-tomography

T. Glanowski, Y. Marco, V. L. Saux, B. Huneau, C. Champy, P. Charrier
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引用次数: 3

Abstract

: The fatigue properties of fi lled elastomers are strongly related to the inclusions ’ population induced by their complex recipes and the successive stages of the manufacturing process (mixing, injection and curing). The improvement of these properties involves at fi rst an ability to describe the statistical features of these inclusions ’ population in terms of size, geometry, nature and spatial distribution. Then a detailed understanding of the damage mechanisms is required in order to de fi ne the mechanical criticality of inclusions according to their characteristics under cyclic loading. The aim of the study is to take advantage of tomography observations that enable a three dimensional vision to access the statistical description of the inclusions population and of the related damage mechanisms. First of all, a tool to detect and characterize accurately inclusions and cracks is presented. Then, this tool is applied to an interrupted specimen in fatigue, for a compound fi lled with carbon black. A statistical analysis is performed on the nature of inclusions leading to cracks, on the kind of damage mechanisms (polar crack, cavitation between 2 inclusions or failure of an inclusion) and on the density and the geometric properties of activated inclusions. An additional focus is given on the inclusions leading to the biggest cracks in order to assess more precisely the features (nature, size . .. … ) of the most critical inclusions for fatigue.
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碳黑填充天然橡胶夹杂物周围疲劳裂纹的微层析成像分析
填充弹性体的疲劳性能与它们复杂的配方和连续的制造过程(混合、注射和固化)所引起的夹杂物数量密切相关。这些特性的改进首先涉及描述这些内含物在大小、几何形状、性质和空间分布方面的统计特征的能力。然后,为了根据夹杂物在循环载荷下的特性确定其力学临界,需要对其损伤机制进行详细的了解。本研究的目的是利用断层扫描观察的优势,使三维视觉能够访问夹杂物种群和相关损伤机制的统计描述。首先,提出了一种准确检测夹杂物和裂纹的工具。然后,将该工具应用于疲劳状态下的中断试样,以获得炭黑填充的化合物。统计分析了导致裂纹的夹杂物的性质、损伤机制(极性裂纹、两个夹杂物之间的空化或一个夹杂物的破坏)以及活化夹杂物的密度和几何特性。为了更精确地评估其特征(性质、大小……),对导致最大裂缝的夹杂物给予了额外的关注。…)最关键的疲劳夹杂物。
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