沉积(地质)
补偿(心理学)
体积热力学
材料科学
3D打印
忠诚
计算机科学
纳米技术
地质学
复合材料
电信
物理
热力学
心理学
古生物学
沉积物
精神分析
作者
Yunxia Chen,Christopher C. Samouce,Samuel E. Shlafer,Ali T. Shams,Hitomi Yamaguchi,Yong Hong Huang
出处
期刊:Journal of Manufacturing Science and Engineering-transactions of The Asme
[ASM International]
日期:2025-09-01
卷期号:147 (11): 111003-111003
被引量:2
摘要
Nested printing, a special type of embedded printing, enables the fabrication of multilayered enclosed structures, in particular those resembling biological organs. As with any printing process, shape fidelity in nested printing is of great importance to dimensional accuracy, structural integrity, and/or functionality of 3D-printed parts. Particularly, the shape fidelity may be compromised due to the upflow and the additional volume introduced by internal depositions, and the latter is not well studied yet and calls for robust mitigation approaches. This study aims to establish a B-spline function-based three-dimensional (3D) freeform compensation method to offset the effect of internally deposited volumes in internally nested structures during nested printing. Particularly, printed nested structures are visualized using image-based segmentation and reconstruction, shape fidelity is assessed by measuring deviations between reconstructed and designed models using 3D structural similarity analysis, and a distortion field and a corresponding compensation field are approximated using a B-spline function-based method, resulting in a compensated 3D model for final nested printing. This compensation method reduces the mean printing error from 9.35% to 2.02% for the first enclosing layer and from 17.59% to 0.47% for the second enclosing layer, respectively, for a canonical nested structure. Further, the demonstration case of a 3D brain limbic system model shows a reduced mean printing error from 10.67% to 1.40% for the enclosing white matter region. The compensation-based mitigation strategy using the B-spline function effectively enhances shape fidelity during nested printing.
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