鉴于碳/氮化物二维纳米层状材料(MXene)和碳纳米管(CNT)具有优异的导电、导热性和良好的树脂相容性，可用于大尺寸、复杂形状复合材料构件的液体成型制造过程在线监测。本项目以MXene/CNT膜作为新型微纳传感器，通过构建其管片交联网络导电模型，揭示MXene/CNT传感器的电阻响应传感机理；通过搭建MXene/CNT传感器电阻测试及数据采集平台，研究树脂流动状态与传感器电阻信号之间的响应规律；通过建立复合材料液体成型(LCM)过程中树脂相态变化-MXene与CNT微观运动状态-MXene/CNT传感器电阻变化的关系，研究树脂固化过程中MXene/CNT传感器的电阻响应规律；通过对LCM树脂充模和固化过程的理论分析、数值模拟和实验测试结果的对比验证，探索工艺参数对复合材料制件性能的影响，获得合理的固化制度曲线。研究成果将为工程中LCM制造工艺参数设计和原位实时监测提供理论指导和技术支持。

Based on the excellent electrical conductivity, thermal conductivity and good compatibility with resin, MXene and CNT are available for the online monitoring of liquid composite molding of large size and complex structures. In this proposal, the MXene/CNT will be used as a novel micro-nano sensor. The conductive model of tube and lamella cross-linked network will be established to reveal the resistance response sensing mechanisms of MXene/CNT sensor; the resistance tests and data acquisition platform will be set up to study the response rules of resin flow states and resistance signals; the relationships between phase changes of resin-microscopic move states of MXene lamellas and CNTs-resistance variations of MXene/CNT will be built to research the resistance response laws of sensor during resin curing; Compare the theoretical analysis, numerical simulations and experimental results of resin flowing and curing for LCM, the influences of process parameters on composite properties will be explored, and suitable curing curves will be obtained. The research results will provide the theoretical guidance and technical support for the design of process parameters and in situ real-time monitoring of LCM in the engineering industry.