Imaging the strain induced carbon black filler network structure breakage with nano X-ray tomography
文献类型:期刊论文
作者 | Zhou, WM; Chen, L; Lu, J; Qi, ZM; Huang, ND; Li, LB; Huang, WX;黄万霞 |
刊名 | RSC ADVANCES
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出版日期 | 2014 |
卷号 | 4期号:97页码:54500-54505 |
英文摘要 | Aiming to study the mechanical enhancement by the filler network in a rubber composite, three-dimensional images are acquired with in situ full field transmission X-ray microscopy (TXM), and the network structure of carbon black (CB) aggregates in a rubber matrix are studied with and without strain. Statistical analysis shows that the frequency of similar-sized aggregates decreases with the increase of aggregate size as well as the inter-aggregate distance monotonically without strain. An oscillation of the frequency-size plot is induced by strain on top of the damping trend, which is interpreted as stretch-induced breakage and re-aggregation of CB aggregates. Calculations adopting a soft-hard network model, predict a reduction of the contribution of the CB network to the mechanical property of the rubber composite by about 60%, caused by the breakage and re-aggregation of CB aggregates compared to those without strain. The experimental results directly prove the structural origin of the Payne effect and also show that TXM is a valuable tool to study the mechanical enhancement mechanism of filled rubber composites. |
学科主题 | Chemistry |
收录类别 | SCI |
WOS记录号 | WOS:000344600400046 |
公开日期 | 2016-05-03 |
源URL | [http://ir.ihep.ac.cn/handle/311005/225355] ![]() |
专题 | 高能物理研究所_多学科研究中心 |
推荐引用方式 GB/T 7714 | Zhou, WM,Chen, L,Lu, J,et al. Imaging the strain induced carbon black filler network structure breakage with nano X-ray tomography[J]. RSC ADVANCES,2014,4(97):54500-54505. |
APA | Zhou, WM.,Chen, L.,Lu, J.,Qi, ZM.,Huang, ND.,...&Huang, WX;黄万霞.(2014).Imaging the strain induced carbon black filler network structure breakage with nano X-ray tomography.RSC ADVANCES,4(97),54500-54505. |
MLA | Zhou, WM,et al."Imaging the strain induced carbon black filler network structure breakage with nano X-ray tomography".RSC ADVANCES 4.97(2014):54500-54505. |
入库方式: OAI收割
来源:高能物理研究所
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