Laser ablation of CFRP surfaces for improving the strength of bonded scarf composite joints
KAUST DepartmentMechanics of Composites for Energy and Mobility Lab., King Abdullah University of Science and Technology
Physical Science and Engineering (PSE) Division
Mechanical Engineering Program
KAUST Grant NumberOSR-2017-CRG6-3388.01
Embargo End Date2024-06-17
Permanent link to this recordhttp://hdl.handle.net/10754/679123
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AbstractRepairing damaged composite parts using scarf technique requires a careful selection of treatment methods for composite surface. Laser treatment is one of the emerging techniques to treat the milled composite surface by unlocking various levels of morphological changes and, thus, optimizing joint strength. However, laser parameters, i.e., energy density (fluence), should be carefully determined to ensure the acceptable structural recovery. Here, the influence of CO laser with relatively high fluence (ablation effect) on the surface characteristics (roughness, morphology, wettability) and scarf joint strength with associated failure modes of unidirectional (UD) and quasi-isotropic (QI) carbon fiber-reinforced plastic (CFRP) laminates is studied. Here, we found that the ablation effect using CO laser at 3.6 J/m was considered safe for UD laminates as their joint strength was comparable with that treated by manual sanding. The ablation at higher fluence (8.4 J/m) reduced the joint strength in UD laminates due to severe damage occurred in 0 fibers that triggered adhesive failure. In QI laminates, 3.6 J/m laser fluence could improve joint strength since the cohesive failure was activated in off-axis plies (90, +45, −45).
CitationALYousef, J., Yudhanto, A., Tao, R., & Lubineau, G. (2022). Laser ablation of CFRP surfaces for improving the strength of bonded scarf composite joints. Composite Structures, 115881. https://doi.org/10.1016/j.compstruct.2022.115881
SponsorsThis work was supported by the King Abdullah University of Science and Technology (KAUST), Office of Sponsored Research (OSR) under Grant OSR-2017-CRG6-3388.01. Authors would like to thank Dr. Ruslan Melentiev (KAUST) for his advise on the surface characterization.