2021
DOI: 10.1088/1361-665x/ac3b21
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Smart monitoring of a full-scale composite hydrofoil manufactured using automated fibre placement under high cycle fatigue

Abstract: Fibre reinforced composites materials offer a pathway to produce passive shape adaptive smart marine propellers, which have improved performance characteristics over traditional metallic alloys. Automated fibre placement (AFP) technology can provide a leap forward in cyber-physical automated manufacturing, which is essential for the implementation and operation of smart factories in the marine propeller industry towards Industry 4.0 readiness. In this paper, a comprehensive structural health monitoring routine… Show more

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Cited by 1 publication
(2 citation statements)
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“…It was noted that the measured strains were in reasonable accordance with simulations. This research was continued by Shamsuddoha et al [8] who embedded distributed optical fibres into a full-scale composite hydrofoil loaded under fatigue. In that work, also piezoelectric accelerometers were placed to perform modal analysis.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…It was noted that the measured strains were in reasonable accordance with simulations. This research was continued by Shamsuddoha et al [8] who embedded distributed optical fibres into a full-scale composite hydrofoil loaded under fatigue. In that work, also piezoelectric accelerometers were placed to perform modal analysis.…”
Section: Introductionmentioning
confidence: 99%
“…This matters as unanticipated failure of a propeller blade will considerably limit a vessel's manoeuvrability. Prominent causes to the uncertainty are deviations and imperfections during fabrication, the varying loading of the blade, and a complex internal stress state imposed by the thick intricate geometry and spatially-varying material layup [8,9]. Additionally, depending on their location and load history, different damage types may grow to gross failure or cause a stress redistribution that leads to different failure [10].…”
Section: Introductionmentioning
confidence: 99%