纳米碳化硅对3D打印光敏材料性能的影响

Effect of nano-SiC on Properties of 3D Printing Photosensitive Materials

为评价纳米碳化硅(SiC)含量和粒径对光敏树脂基复合材料的黏度、固化特性、收缩率及邵氏硬度的影响,以光敏树脂为基体,不同粒径的纳米SiC为填料,采用硅烷偶联剂KH550对填料进行表面处理,利用面成型光固化3D打印技术制备了光敏树脂/纳米SiC复合材料。结果表明,在相同含量下,增加纳米SiC粒径可降低光敏复合材料的黏度,利于打印过程中树脂的流动。结合Beer-Lambert模型方程发现,填料含量相同时,在相同曝光能量下,添加大粒径SiC的光敏复合材料具有更优的固化深度和固化速度,利于打印成型。不同含量和粒径的纳米SiC对光敏树脂的邵氏硬度和固化收缩作用提升效果不同,随着纳米SiC含量增加和粒径的减小,光敏复合材料的收缩率逐渐降低,成型精度提高,但邵氏硬度会随纳米SiC含量增加先增大后减小,平均粒径为50 nm的SiC含量为光敏树脂预聚物质量1%时,光敏复合材料的邵氏硬度即可达到最大值93.1。

In order to evaluate the effects of nano-silicon carbide(SiC)content and particle size on the viscosity,curing charac‐teristics,shrinkage and shore hardness of photosensitive resin matrix composites,photosensitive resin was used as matrix,nano-SiC with different particle sizes as fillers,silane coupling agent KH550 as surface treatment agent for treating the fillers,the photosensi‐tive resin/nano-SiC composites were prepared by using surface forming UV-curing 3D printing technology.The results show that photosensitive composites with larger nano-SiC particle size present lower viscosity and facilitate the flow of resin in the printing process at the same nano-SiC content.Combined with Beer-Lambert model equation,it is found that when the filler content is the same,under the same exposure energy,the photosensitive composite with larger nano-SiC particle size displays better cure depth and cure speed,which is conducive to print forming.The effects of nano-SiC with different content and particle sizes on the shore hardness and curing shrinkage of the photosensitive resin are different.With the increase of nano-SiC content and the decrease of nano-SiC particle size,the shrinkage of the photosensitive composite gradually decreases,and the forming accuracy improves,but the shore hardness increases first and then decreases with the increase of nano-SiC content.When the content of nano-SiC with 50 nm of average particle size is 1%of photosensitive resin prepolymer mass,the shore hardness(HD)of the photosensitive composite reaches the maximum value of 93.1.