基于碳纳米管纱线扭电能的复合材料损伤监测

doi:10.13475/j.fzxb.20190404506

纺织学报 ›› 2020, Vol. 41 ›› Issue (04): 58-63.doi: 10.13475/j.fzxb.20190404506

基于碳纳米管纱线扭电能的复合材料损伤监测

李鹏¹, 万振凯²(), 贾敏瑞¹

1.天津工业大学纺织科学与工程学院, 天津 300387
2.天津工业大学工程教学中心, 天津 300387

收稿日期:2019-04-16 修回日期:2020-01-06 出版日期:2020-04-15 发布日期:2020-04-27
通讯作者: 万振凯
作者简介:李鹏(1978—),男,博士生。主要研究方向为三维编织复合材料检测方法。
基金资助:
教育部博士点基金课题项目(200800580004)

Damage monitoring of composite materials based on twist energy of carbon nanotube yarns

LI Peng¹, WAN Zhenkai²(), JIA Minrui¹

1. School of Textile Science and Engineering, Tiangong University, Tianjin 300387, China
2. Engineering Teaching Center, Tiangong University, Tianjin 300387, China

Received:2019-04-16 Revised:2020-01-06 Online:2020-04-15 Published:2020-04-27
Contact: WAN Zhenkai

摘要/Abstract

摘要：

为实现航天结构制件内部损伤的全面监测,基于碳纳米管纱线扭电能特征的发现,提出了航天结构制件内部损伤实时监测新方法。采用三维六向编织技术将碳纳米管纱线嵌入到航天复合材料结构制件中,构建了新型的智能三维复合材料;证明了制件内部产生损伤时,内部的碳纳米管纱线捻度发生变化可产生扭电能;采用主成分分析和损伤指数理论对碳纳米管纱线的扭电能数据进行分析。结果表明:三维编织复合材料试件内部的树脂断裂、孔洞和试件的微小裂纹可引起扭电能的变化,碳纳米管纱线扭电能对于试件内部损伤具有很高的识别能力,损伤识别精度达到0.002 mm,该研究对推进航天结构的智能监测具有重要意义。

关键词: 碳纳米管纱线, 扭电能, 三维六向编织, 损伤指数, 复合材料损伤监测

Abstract:

In order to achieve comprehensive monitoring of internal damage of aerospace structural specimens, a new real-time monitoring method was proposed based on the new discovery of the twisting energy feature of carbon nanotube yarns. This method uses three-dimensional six-directional braiding technology to embed carbon nanotube yarns into aerospace composite structural specimens to construct the new type of intelligent three-dimensional composite material. Studies have proved that when internal damage occurs in specimens, the twist of the carbon nanotube yarns embedded inside the specimens will change and generate twisting energy. The principal component analysis and damage index theory were used to analyze the twisting energy data of carbon nanotube yarns. The experimental results show that the resin fractures, holes and tiny cracks in the three-dimensional braiding composite specimens will cause changes in twist electric energy. The twist electric energy of carbon nanotube yarns has a high recognition accuracy of the internal damage of the specimens, which reaches 0.002 mm in this research. This finding has of practical significance for the advancement of intelligent monitoring of aerospace structures.

Key words: carbon nanotube yarn, twist electric energy, three-dimensional six-directional braiding, damage index, damage monitoring of composite material

中图分类号:

TS101.2

李鹏, 万振凯, 贾敏瑞. 基于碳纳米管纱线扭电能的复合材料损伤监测[J]. 纺织学报, 2020, 41(04): 58-63.

LI Peng, WAN Zhenkai, JIA Minrui. Damage monitoring of composite materials based on twist energy of carbon nanotube yarns[J]. Journal of Textile Research, 2020, 41(04): 58-63.

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试件编号	平均编织角/(°)	纤维体积分数/%	CNT纱线扭曲角/(°)
1^#	29.1	47.1	25
2^#	26.3	49.2	27
3^#	36.4	56.7	26

基于碳纳米管纱线扭电能的复合材料损伤监测

Damage monitoring of composite materials based on twist energy of carbon nanotube yarns

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