Xavier Allonas, Ben Hammouda, Boris Métral, Emile Goldbach, Anne-Sophie Schuller, Christian Ley, C.Céline Croutxé-Barghorn
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引用次数: 0
摘要
如今,在大桶光聚合 3D 打印过程中控制光聚合过程是一项关键挑战。这项研究表明,使用一组相对有限的参数,就有可能估算出此类过程中涉及的关键因素。根据含有不同浓度光引发剂和紫外线过滤器的 16 种配方,尝试对 3D 打印过程中使用的光子参数(即穿透深度 Dp 和临界能量 Ec)进行合理化。实验结果表明,实验得出的 Dp 值与根据布格-比尔-朗伯定律计算得出的 Dp 值具有相关性。实时傅立叶变换红外实验是在与 3D 打印类似的条件下进行的。转换曲线用于估算 Ec 值。讨论了这种方法的局限性与紫外线滤光片浓度的函数关系。最后,利用 RT-FTIR 曲线预测了不同 3D 打印层的深度转换,并与共焦拉曼显微镜获得的实验结果进行了比较。本文受版权保护。
Controlling photopolymerization reaction in layer-by-layer photopolymerization in 3D printing
Today, controlling the photopolymerization process during the 3D printing in vat photopolymerization is a key challenge. In this work, it is shown that using a relatively limited set of parameter, it is possible to estimate key factors involved in such process. On the basis of 16 formulations containing different concentrations of photoinitiator and UV filter, attempt was made to rationalize the photonic parameters used in the 3D printing process, that is, the depth of penetration Dp and the critical energy Ec. It is shown that the experimental Dp values can be correlated with calculated ones from Bouguer–Beer–Lambert law. Real-time Fourier-transform infrared spectroscopy (RT-FTIR) experiments were performed under similar conditions as in 3D printing. The conversion profiles were used to estimate the Ec values. The limits of this approach was discussed as a function of the UV filter concentration. Finally, the RT-FTIR curves are exploited to predict the in-depth conversion of the different 3D printed layers and compared to experimental results obtained by confocal Raman microscopy.