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用于 3D 打印生物基多孔碳结构的丙烯酸盐-单宁光固化树脂的实验设计优化。

Experimental Design Optimization of Acrylate-Tannin Photocurable Resins for 3D Printing of Bio-Based Porous Carbon Architectures.

机构信息

Institut Jean Lamour, Université de Lorraine, UMR 7198, 27 Rue Philippe Seguin, CEDEX 9, 88051 Epinal, France.

出版信息

Molecules. 2022 Mar 24;27(7):2091. doi: 10.3390/molecules27072091.

DOI:10.3390/molecules27072091
PMID:35408490
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9000739/
Abstract

In this work, porous carbons were prepared by 3D printing formulations based on acrylate-tannin resins. As the properties of these carbons are highly dependent on the composition of the precursor, it is essential to understand this effect to optimise them for a given application. Thus, experimental design was applied, for the first time, to carbon 3D printing. Using a rationalised number of experiments suggested by a Scheffé mixture design, the experimental responses (the carbon yield, compressive strength, and Young's modulus) were modelled and predicted as a function of the relative proportions of the three main resin ingredients (HDDA, PETA, and CN154CG). The results revealed that formulations containing a low proportion of HDDA and moderate amounts of PETA and CN154CG gave the best properties. Thereby, the optimised carbon structures had a compressive strength of over 5.2 MPa and a Young's modulus of about 215 MPa. The reliability of the model was successfully validated through optimisation tests, proving the value of experimental design in developing customisable tannin-based porous carbons manufactured by stereolithography.

摘要

在这项工作中,通过基于丙烯酸酯-单宁树脂的 3D 打印配方制备了多孔碳。由于这些碳的性能高度依赖于前体的组成,因此了解这种影响对于针对给定应用优化它们至关重要。因此,首次将实验设计应用于碳 3D 打印。使用 Scheffé 混合设计建议的合理化实验次数,将实验响应(碳产率、压缩强度和杨氏模量)建模并预测为三种主要树脂成分(HDDA、PETA 和 CN154CG)的相对比例的函数。结果表明,含有低比例 HDDA 和适量 PETA 和 CN154CG 的配方可提供最佳性能。因此,优化后的碳结构具有超过 5.2 MPa 的抗压强度和约 215 MPa 的杨氏模量。通过优化测试成功验证了模型的可靠性,证明了实验设计在通过立体光刻制造定制化单宁基多孔碳方面的价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6892/9000739/262f73be355f/molecules-27-02091-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6892/9000739/c49015b298bb/molecules-27-02091-g0A1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6892/9000739/a5f9561821ea/molecules-27-02091-g0A2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6892/9000739/b467aa32fdf0/molecules-27-02091-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6892/9000739/e1707311fa9b/molecules-27-02091-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6892/9000739/2f8c0ca60d3f/molecules-27-02091-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6892/9000739/96dc624809a3/molecules-27-02091-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6892/9000739/0def89c4f5a2/molecules-27-02091-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6892/9000739/ae12a9dabfd4/molecules-27-02091-g006a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6892/9000739/262f73be355f/molecules-27-02091-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6892/9000739/c49015b298bb/molecules-27-02091-g0A1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6892/9000739/a5f9561821ea/molecules-27-02091-g0A2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6892/9000739/b467aa32fdf0/molecules-27-02091-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6892/9000739/e1707311fa9b/molecules-27-02091-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6892/9000739/2f8c0ca60d3f/molecules-27-02091-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6892/9000739/96dc624809a3/molecules-27-02091-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6892/9000739/0def89c4f5a2/molecules-27-02091-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6892/9000739/ae12a9dabfd4/molecules-27-02091-g006a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6892/9000739/262f73be355f/molecules-27-02091-g007.jpg

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