In‐situ curing of 3D printed freestanding thermosets
In‐situ curing of 3D printed freestanding thermosets
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3D 打印独立式热固性材料的原位固化
DOI：
10.1002/amp2.10114
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发表时间：
2022
期刊：
影响因子：
--
通讯作者：
Wang, Shiren
中科院分区：
文献类型：
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作者：
Gao, Chongjie;Qiu, Jingjing;Wang, Shiren
直接油墨书写（DIW）为热固性印刷提供了一种高效的方式，而快速原位固化在制造速度、质量、性能和灵活性方面具有重要作用。本文综述了可集成到DIW中的原位固化方法，包括前沿聚合、电磁加热、光化学、电子束和电阻加热固化。简要介绍了差示扫描量热法（DSC）、拉曼光谱、傅里叶变换红外光谱（FT-IR）、宽带介电谱（BDS）、超声动态力学分析（UDMA）、荧光光谱等固化过程在线监测和固化动力学分析技术。研究了这些表征方法的工作机理和特点。此外，机器学习和其他人工智能工具用于优化印刷材料，拓扑设计，印刷路径，和缺陷检测灵敏度进行了审查。最后，一些未来的研究方向的DIW和原位固化的热固性材料进行了讨论。
Direct‐ink‐writing (DIW) provides a high‐efficiency way for thermoset printing while rapid in‐situ curing has a significant role in manufacturing rate, quality, performance, and flexibility. In this review, in‐situ curing methods that can be integrated into DIW were discussed, including frontal polymerization, electromagnetic heating, photochemistry, electron beam, and resistance heating curing. The in‐situ process monitoring and curing kinetic analysis technologies such as differential scanning calorimetry (DSC), Raman spectroscopy, Fourier transform infrared spectroscopy (FT‐IR), broadband dielectric spectroscopy (BDS), ultrasonic dynamic mechanical analysis (UDMA), fluorescence spectroscopy, were briefly presented. The working mechanism and features of these characterization measurements are studied. Furthermore, machine learning and other artificial intelligence tools used for the optimization of printing materials, topology design, printing path, and defect detection sensitivity are reviewed. Finally, some future research directions for the DIW and in‐situ curing of thermosets are addressed.