Paper
20 January 2025 Optimization of layering algorithm for melt deposition 3D printers
Shuguang Sang, Jiafeng Zhao, Yingying Dai, Yihua Zhou, Zhongxing Yu, Hanqing Ouyang, Lu Zhang
Author Affiliations +
Proceedings Volume 13515, Fourth International Conference on Advanced Manufacturing Technology and Electronic Information (AMTEI 2024); 1351503 (2025) https://doi.org/10.1117/12.3054258
Event: 4th International Conference on Advanced Manufacturing Technology and Electronic Information (AMTEI 2024), 2024, Chongqing, China
Abstract
Fused Deposition Modeling (FDM) 3D printing technology has received widespread attention for its efficiency and reliability in prototype production, small batch production, and complex structure construction. However, printing quality and efficiency largely depend on the performance of layered algorithms, which poses a serious challenge to algorithm design. This study proposes a new type of layering algorithm, which is validated by simulation experiments. The validation results show that the algorithm is more detailed than traditional adaptive layering at feature height, and retains model features to a greater extent compared to traditional adaptive layering, while balancing printing quality and efficiency. This study not only provides new design ideas for the layered algorithm of FDM 3D printing technology, but also opens up new avenues for further improving printing efficiency and quality.
(2025) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Shuguang Sang, Jiafeng Zhao, Yingying Dai, Yihua Zhou, Zhongxing Yu, Hanqing Ouyang, and Lu Zhang "Optimization of layering algorithm for melt deposition 3D printers", Proc. SPIE 13515, Fourth International Conference on Advanced Manufacturing Technology and Electronic Information (AMTEI 2024), 1351503 (20 January 2025); https://doi.org/10.1117/12.3054258
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KEYWORDS
3D modeling

Printing

3D printing

Data modeling

Fused deposition modeling

Detection and tracking algorithms

Algorithm development

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