通过优化大桶光聚合增材制造参数,提高牙科模型精度

IF 4.2 Q2 ENGINEERING, MANUFACTURING
Clément Tien , Camille Jean , Lucas Poupaud , Floriane Laverne , Frédéric Segonds
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引用次数: 0

摘要

本研究探讨了影响使用还原光聚合数字光处理(DLP)技术生产的牙齿模型尺寸精度的关键增材制造(AM)工艺参数。采用田口法对7AM工艺因素进行了分析。采用标准化的后处理方案来保持一致性,以便对打印参数进行重点评估。使用三维扫描和点云比较软件分析尺寸偏差,特别注意减少翘曲和收缩。结果确定了层厚度、投影机功率、曝光能量和还原缸温度是影响最终模型精度的关键AM因素。这些发现强调了优化这些参数以实现高质量牙齿模型的重要性,有助于未来精度和效率的提高。建议进一步研究以确定不同树脂和更复杂的牙齿结构的最佳设置。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enhancing dental model accuracy through optimized vat photopolymerization additive manufacturing parameters
This study investigates the key additive manufacturing (AM) process parameters that influence the dimensional accuracy of dental models produced using the vat photopolymerization Digital Light Processing (DLP) technology. By applying the Taguchi method, 7AM process factors were analyzed. A standardized post-processing protocol was used to maintain consistency, allowing a focused assessment of the printing parameters. Dimensional deviations were analyzed using 3D scanning and point cloud comparison software, with particular attention to reducing warping and shrinkage. The results identified layer thickness, projector power, exposure energy, and vat temperature as the key AM factors affecting the accuracy of the final model. These findings highlight the importance of optimizing these parameters to achieve high-quality dental models, contributing to future advancements in precision and efficiency. Further research is recommended to determine optimal settings for different resins and more complex dental structures.
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来源期刊
Additive manufacturing letters
Additive manufacturing letters Materials Science (General), Industrial and Manufacturing Engineering, Mechanics of Materials
CiteScore
3.70
自引率
0.00%
发文量
0
审稿时长
37 days
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