• CN:11-2187/TH
  • ISSN:0577-6686

机械工程学报 ›› 2021, Vol. 57 ›› Issue (7): 215-223.doi: 10.3901/JME.2021.07.215

• 制造工艺与装备 • 上一篇    下一篇

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石墨烯/柔性聚乳酸自传感复合材料结构3D打印与性能研究

田小永, 闫万权, 黄兰, 王清瑞, 李涤尘   

  1. 西安交通大学机械制造系统工程国家重点实验室 西安 710049
  • 收稿日期:2020-10-20 修回日期:2021-02-15 出版日期:2021-04-05 发布日期:2021-05-25
  • 通讯作者: 田小永(通信作者),男,1981年出生,博士,教授,博士研究生导师。主要研究方向为多材料、复合材料3D打印(增材制造)技术及其应用。E-mail:leoxyt@mail.xjtu.edu.cn
  • 基金资助:
    国家自然科学基金(52075422)和王宽诚教育基金会资助项目。

Graphene/Flexible Polylactic Acid Self-sensing Composite Structures 3D Printing and Performance

TIAN Xiaoyong, YAN Wanquan, HUANG Lan, WANG Qingrui, LI Dichen   

  1. State Key Laboratory for Manufacturing System Engineering, Xi’an Jiaotong University, Xi’an 710049
  • Received:2020-10-20 Revised:2021-02-15 Online:2021-04-05 Published:2021-05-25

摘要: 为了深入研究石墨烯复合材料压阻特性,解决压阻复合材料定量传感问题,实现自传感结构变形监测,通过球磨混合工艺和单螺杆挤出工艺制备了石墨烯/柔性聚乳酸复合丝材,采用材料挤出成形3D打印作为石墨烯/柔性聚乳酸自传感复合材料的结构成型工艺,对导电高分子复合材料的压阻特性展开研究,探究了不同载荷条件对复合材料压阻特性的影响规律,为实现自传感结构变形监测提供了可靠的依据。最后搭建了基于LabVIEW和实时数据采集模块的自传感结构变形重构实时监测系统,通过建立平面弯曲变形传感单元的计算模型,使用阵列传感单元实现了结构变形重构实时监测功能,其中重构形状误差低于3%。

关键词: 石墨烯复合材料, 压阻特性, 3D打印, 自传感, 变形重构

Abstract: In order to further study piezoresistive properties of graphene composites, solve the problem of quantitative sensing through piezoresistive composites, and realize the deformation monitoring of self-sensing structure, oxide graphene/flexible poly lactic acid (rGO/flexPLA) composites are prepared by ball mill mixing process and single screw extrusion process, and material extrusion modeling 3D printing process is used as the structure forming process of rGO/flexPLA self-sensing composite material. Piezoresistive properties of the conductive polymer composites are studied. The influence of different load conditions on the piezoresistive properties of composite materials is explored, and it provided a reliable basis for realizing self-sensing structural deformation monitoring. Finally, a real-time monitoring system for morphing and reconstruction of self-sensing structures based on LabVIEW and real-time data acquisition module is built. By establishing the calculation model of the plane bending deformation sensing unit, the array sensing unit is used to realize the real-time monitoring function of structural deformation reconstruction, and the reconstructed shape error is less than 3%.

Key words: graphene composites, piezoresistive properties, 3D printing, self-sensing, deformation reconstruction

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