Effective properties for plain weave composites through-thickness reinforced with carbon nanotube forests
Effective properties for plain weave composites through-thickness reinforced with carbon nanotube forests
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碳纳米管森林增强的平纹复合材料的有效性能
DOI：
10.1016/j.compstruct.2007.05.008
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发表时间：
2008-06
影响因子：
6.3
通讯作者：
中科院分区：
文献类型：
--
作者：
本文提出了一种分析方法来研究平纹单胞织物的弹性性能与增强单壁碳纳米管森林的经线和纬线上不同的增长模式。对于碳纳米管增强的聚合物基体，其中嵌入的碳纤维，其性能可以使用改进的混合规则进行评估。使用本分析方法的数值研究表明，对于所考虑的情况下，只有一个小的纳米管体积分数的增加可以导致显着增加的平面外的杨氏模量和平面外的剪切模量略有增加，但平面外的泊松比的平纹编织复合材料的减少。碳纳米管森林的存在并不显著影响平纹编织复合材料的有效面内性能。数值研究还表明，碳纳米管增强平纹编织复合材料的有效性能与碳纳米管的体积分数、生长或分布方式密切相关，但受碳纳米管取向的影响较小。
In this paper, an analytical approach is proposed to study the elastic properties of plain weave unit cells with reinforcing single-walled carbon nanotube forests of different growing patterns on the warp and weft carbon yarns. For the carbon nanotube-reinforced polymer matrix in which the carbon fibers are embedded, its properties can be evaluated using a modified rule of mixture. A numerical study using the present analytical approach reveals that for the cases considered, only a small increase in the nanotube volume fraction can result in a remarkable increase in the out-of-plane Young’s modulus and a slight increase in the out-of-plane shear modulus but a decrease in the out-of-plane Poisson’s ratios for the plain weave composite. The existence of carbon nanotube forests does not significantly affect the effective in-plane properties of plain weave composites. It is also noted from the present numerical study that the effective properties of plain weave composites with nanotube forest reinforcement are closely related to the nanotube volume fraction, growing or distribution patterns, but slightly affected by the orientations of carbon nanotubes.
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影响因子：
3.1
作者：
P. Tan;L. Tong;G. Steven
通讯作者：
P. Tan;L. Tong;G. Steven
影响因子：
5.4
作者：
M. Wichmann;J. Sumfleth;Florian H. Gojny;M. Quaresimin;B. Fiedler;K. Schulte
通讯作者：
M. Wichmann;J. Sumfleth;Florian H. Gojny;M. Quaresimin;B. Fiedler;K. Schulte
影响因子：
9.1
作者：
Ci, LJ;Bai, JC
通讯作者：
Bai, JC
影响因子：
4
作者：
Lu, JP
通讯作者：
Lu, JP
影响因子：
3.1
作者：
L. Tong;P. Tan;G. Steven
通讯作者：
L. Tong;P. Tan;G. Steven