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

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

Li, Yingguang, Xu, Ke, Liu, Xu, Yang, Mengyuan, Gao, James ORCID: 0000-0001-5625-3654 and Maropoulos, Paul (2021) Stress-oriented 3D printing path optimization based on image processing algorithms for reinforced load-bearing parts. CIRP Annals - Manufacturing Technology, 70 (1). pp. 195-198. ISSN 0007-8506 (doi:https://doi.org/10.1016/j.cirp.2021.04.037)

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Abstract

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.

Item Type: Article
Uncontrolled Keywords: Additive manufacturing, Tool path, Image processing
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / Department / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > Design, Manufacturing and Innovative Products Research Theme
Faculty of Engineering & Science > School of Engineering (ENN)
Last Modified: 13 Aug 2021 14:54
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
Selected for REF2021: None
URI: http://gala.gre.ac.uk/id/eprint/32185

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