Zhang, H, Li, A, Wu, J et al. (3 more authors) (2022) Effectiveness of fibre placement in 3D printed open-hole composites under uniaxial tension. Composites Science and Technology, 220. 109269. ISSN 0266-3538
Abstract
The emerging 3D printing technology of continuous fibres enables fibre steering and customised curved fibre paths during the manufacturing process, which could potentially enhance the mechanical properties of composites with geometric singularities. In this paper, the effect of fibre placement on the mechanical performance of open-hole composites under uniaxial tension is comprehensively studied. A hybrid manufacturing technology is presented to enable the fabrication of 3D printed dual-polymer composites with low porosity and customised continuous carbon fibre reinforcement. A concept of placing continuous fibres along the maximum principal stress trajectories is adopted and found to improve the strength of the composites and dramatically postpone the crack initiation, compared with the drilled samples. Additional fibres, along the minimum principal stress trajectories and around the hole, are found to dramatically alter the failure mode and mechanical performance of the samples. Together with the digital image correlation measurement, a finite element model is also developed based on the actual printing paths to understand the stress distributions due to different fibre placement methods. The study offers a very useful tool for the customised design of 3D printed composites with complex shapes and/or geometric singularities.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Keywords: | 3D printing; Curved fibre paths; Open-hole composites; Carbon fibre reinforced polymer; Principal stress trajectories |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mechanical Engineering (Leeds) > Institute of Functional Surfaces (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 02 Feb 2022 12:53 |
Last Modified: | 11 Mar 2022 14:00 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.compscitech.2022.109269 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:183166 |