Mould free laminated composites using eccentric fibre prestressing
Composite Structures, ISSN: 0263-8223, Vol: 331, Page: 117867
2024
- 2Citations
- 5Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Article Description
Mould free fibre reinforced composites are an emerging manufacturing process that allows for complex shapes to be produced, independently from complex moulding. Previous examples demonstrated reconfiguration through thermal stresses induced by an asymmetrical stacking sequence within a laminate. However, asymmetry within the laminate can adversely influence the stiffness and geometric coupling which results in heavier structures. This paper presents eccentric prestressing as a novel method to produce more structurally efficient mould free laminated composites. Euler-Bernoulli beam theory and finite element methods were employed to predict the strain and deformation of laminated composites with selective fibre prestress. The internal and external strains were measured with chirped fibre bragg grating sensors, and surface mounted strain gauges respectively to validate the numerical and analytical predictions where a difference of 3.13% was reported. Finally, a comparative study was conducted to show the benefits of eccentric prestress over asymmetric 4D printed laminates.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S0263822323012138; http://dx.doi.org/10.1016/j.compstruct.2023.117867; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85181909878&origin=inward; https://linkinghub.elsevier.com/retrieve/pii/S0263822323012138; https://dx.doi.org/10.1016/j.compstruct.2023.117867
Elsevier BV
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