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Stress-oriented 3D printing path optimization based on image processing algorithms for reinforced load-bearing parts
CIRP Annals ( IF 3.2 ) Pub Date : 2021-06-11 , DOI: 10.1016/j.cirp.2021.04.037
Yingguang Li , Ke Xu , Xu Liu , Mengyuan Yang , James Gao , Paul Maropoulos

Fibre reinforced filament fabrication is a potential additive manufacturing method for certain load-bearing parts in aerospace and automotive products. In current practice, printing paths are planned from part geometry without considering loading conditions. This paper presents a new method for optimizing printing paths to align with the principal stress field of parts in use. Because of the powerful processing capabilities, for the first time grayscale image was adopted to represent the irregular vector field, which can be robustly processed into sub-regions for generating regular printing paths. Preliminary bending test achieved promising increase in tensile strength compared with conventional methods.



中文翻译:

基于图像处理算法的应力导向3D打印路径优化加固承重件

纤维增强长丝制造是航空航天和汽车产品中某些承重部件的潜在增材制造方法。在目前的实践中,打印路径是从零件几何形状规划的,而不考虑加载条件。本文提出了一种优化打印路径以与使用中零件的主应力场对齐的新方法。由于其强大的处理能力,首次采用灰度图像来表示不规则的矢量场,可以将其稳健地处理成子区域,生成规则的打印路径。与传统方法相比,初步弯曲试验实现了拉伸强度的有希望的增加。

更新日期:2021-07-12
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