Stress-oriented 3D printing path optimization based on image processing algorithms for reinforced load-bearing parts

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 opti...

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Bibliographic Details
Published inCIRP annals Vol. 70; no. 1; pp. 195 - 198
Main Authors Li, Yingguang, Xu, Ke, Liu, Xu, Yang, Mengyuan, Gao, James, Maropoulos, Paul
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 2021
Subjects
Additive manufacturing
Image processing
Tool path
Tool path
Image processing
Additive manufacturing
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ISSN0007-8506
DOI10.1016/j.cirp.2021.04.037

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Summary: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.
ISSN:0007-8506
DOI:10.1016/j.cirp.2021.04.037