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Fibre alignment and void assessment in thermoplastic carbon fibre reinforced polymers manufactured by automated tape placement

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dc.contributor.author Sebaey, Tamer A.
dc.contributor.author Bouhrara, Mohamed
dc.contributor.author O'Dowd, Noel P.
dc.date.accessioned 2021-02-10T11:20:45Z
dc.date.available 2021-02-10T11:20:45Z
dc.date.issued 2021
dc.identifier.uri http://hdl.handle.net/10344/9764
dc.description peer-reviewed en_US
dc.description.abstract Automated Tape Placement (ATP) technology is one of the processes that is used for the production of the thermoplastic composite materials. The ATP process is complex, requiring multiple melting/crystallization cycles. In the current paper, laser-assisted ATP was used to manufacture two thermoplastic composites (IM7/PEEK and AS4/PA12). Those specimens were compared to specimens that were made of thermoset polymeric composites (IM7/8552) manufactured while using a standard autoclave cycle. In order assess the quality, void content, fibre distribution, and fibre misalignment were measured. After manufacturing, specimens from the three materials were assessed using optical microscopy and computed tomography (CT) scans. The results showed that, as compared to the thermoset composites, thermoplastics that are manufactured by the ATP have a higher amount of voids. On the other hand, manufacturing using the ATP showed an improvement in both the fibre distribution inside the matrix and the fibre misalignment. en_US
dc.language.iso eng en_US
dc.publisher MDPI en_US
dc.relation.ispartofseries Polymers;13, 473
dc.subject thermoplastic composites en_US
dc.subject automated tape placement en_US
dc.subject fibre misalignment en_US
dc.title Fibre alignment and void assessment in thermoplastic carbon fibre reinforced polymers manufactured by automated tape placement en_US
dc.type info:eu-repo/semantics/article en_US
dc.type.supercollection all_ul_research en_US
dc.type.supercollection ul_published_reviewed en_US
dc.identifier.doi 10.3390/polym13030473
dc.contributor.sponsor EI en_US
dc.contributor.sponsor Horizon 2020 en_US
dc.contributor.sponsor Prince Sultan University en_US
dc.contributor.sponsor ERC
dc.relation.projectid 713654 en_US
dc.rights.accessrights info:eu-repo/semantics/openAccess en_US


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