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 / School / Research Centre / Research Group:	Faculty of Engineering & Science Faculty of Engineering & Science > Design, Manufacturing and Innovative Products Research Theme Faculty of Engineering & Science > School of Engineering (ENG)
Last Modified:	11 Jun 2022 01:38
URI:	http://gala.gre.ac.uk/id/eprint/32185

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