玻璃与碳纤维混杂增强复合材料3D打印与实验
3D Printing of Glass and Carbon Fiber Hybrid Reinforced Composite and Experiments
栾丛丛 1牛成成 1林志伟 1钱俊 1傅建中1
作者信息
- 1. 浙江大学 机械工程学院, 浙江 杭州 310058
- 折叠
摘要
本研究基于热塑性材料熔融沉积成型工艺,研制了双喷头连续玻璃纤维与碳纤维混杂增强热塑性复合材料结构增材制造平台,制备了不同混杂比的纤维增强热塑性复合材料结构试件,分析了不同结构试件的弯曲力学性能与失效模式,探索了嵌入碳纤维智能层的混杂纤维增强热塑性复合材料的力阻行为.结果表明:比较纯热塑性材料结构件,玻璃纤维增强复合材料结构件弯曲强度提高了115.99%,碳纤维增强复合材料结构件弯曲强度提高了198.76%;玻璃纤维与碳纤维混杂增强复合材料结构件具有负弯曲强度混杂效应和正弯曲模量混杂效应.可根据碳纤维电阻相对变化率对混杂增强复合材料结构的应变与断裂破坏状态进行实时自感知.研究结果为连续玻璃纤维与碳纤维混杂增强热塑性复合材料结构件的高质高效制造与智能化提供了新工艺与新思路.
Abstract
A double nozzle of additive manufacturing platform for continuous glass fiber and carbon fiber hybrid reinforced thermoplastic composites was developed based on the fused deposition molding process.Specimens with different hybrid ratios fiber reinforced thermoplastic composites were prepared,and the bending mechanical properties as well as failure modes of different structural specimens were analyzed.In addition,the mechanical resistance behavior of continuous glass fiber and carbon fiber hybrid reinforced thermoplastic composites was explored.The results show that the flexural strength of glass fiber reinforced thermoplastic structure is increased by 115.99%and that of carbon fiber reinforced thermoplastic structure is increased by 198.76%compared with that of pure thermoplastic structure.The continuous glass fiber and carbon fiber reinforced composite has a negative flexural strength hybrid effect and a positive flexural modulus hybrid effect.The strain and fracture failure state of fiber hybrid reinforced composite structure can be self-sensing in real time according to the relative change rate of carbon fiber resistance.The study provides a new method for the high-quality and efficient manufacturing,and intelligence of continuous glass fiber and carbon fiber hybrid reinforced thermoplastic composites.
关键词
三维打印/碳纤维/玻璃纤维/混杂增强/复合材料/增材制造Key words
3D printing/Carbon fiber/Glass fiber/Hybrid reinforced/Composite/Additive manufacturing引用本文复制引用
基金项目
浙江省基础公益研究计划(LY22E050007)
全国金工与工训青年教师教学方法创新研究项目(2022JJGX-WKJY-14)
出版年
2024
国家科技期刊平台
NSTL
维普
万方数据