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基于纯铜浆料的光固化3D打印精密控制:工艺参数与优化策略

Precision Control in Vat Photopolymerization Based on Pure Copper Paste: Process Parameters and Optimization Strategies.

作者信息

Wang Weiqu, Feng Mengzhao, Wang Zhiwei, Jiang Yanlin, Xing Bohang, Zhao Zhe

机构信息

School of Materials Science and Engineering, Shanghai Institute of Technology, Shanghai 201418, China.

Jiaxing CeramPlus Technology Co., Ltd., Jiaxing 314100, China.

出版信息

Materials (Basel). 2023 Aug 10;16(16):5565. doi: 10.3390/ma16165565.

Abstract

Vat photopolymerization (VPP) presents new opportunities for metals to achieve the design freedom of components. However, the material properties of copper powder and the inherent defects of the technology seriously hinder its application in high-precision metal additive manufacturing. Precision control is the key to obtaining minimal precision metal parts when copper is prepared by reduction photopolymerization. This paper employed variance analysis (ANOVA) and root mean square deviation (RMSD) to determine the significant parameters affecting dimensional accuracy and their optimal regions. The results show that printing accuracy is improved by optimizing exposure time, intensity, layer thickness, and sweeper moving speed. When the exposure time is 21 s, and the exposure intensity is 220 mW/cm, a hole with a height of 1 mm and a diameter of 200 μm can be printed with a minimum size deviation of 51 μm. In addition, RMSD and ANOVA provide an effective method for realizing high-precision stereolithography 3D printing metal copper, expanding the material adaptation in the 3D printing metals field. The study highlights the potential of VPP as a method for preparing metals in future studies.

摘要

光固化立体成型(VPP)为金属实现部件的设计自由度带来了新机遇。然而,铜粉的材料特性以及该技术的固有缺陷严重阻碍了其在高精度金属增材制造中的应用。当通过还原光聚合制备铜时,精确控制是获得最小精度金属零件的关键。本文采用方差分析(ANOVA)和均方根偏差(RMSD)来确定影响尺寸精度的显著参数及其最佳范围。结果表明,通过优化曝光时间、强度、层厚和清扫器移动速度可提高打印精度。当曝光时间为21秒且曝光强度为220毫瓦/平方厘米时,可打印出高度为1毫米、直径为200微米的孔,最小尺寸偏差为51微米。此外,RMSD和ANOVA为实现高精度立体光刻3D打印金属铜提供了一种有效方法,扩大了3D打印金属领域的材料适应性。该研究突出了VPP作为未来研究中制备金属的一种方法的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6526/10456629/4abf0585dd0f/materials-16-05565-g001.jpg

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