Mechanical testing and analysis of composite parts adhesively joined under tensile load

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dc.authoridSÜLÜ, İsmail Yasin/0000-0002-2648-6294
dc.authorwosidSÜLÜ, İsmail Yasin/ABH-1342-2020
dc.contributor.authorSulu, Ismail Yasin
dc.date.accessioned2024-08-04T20:43:11Z
dc.date.available2024-08-04T20:43:11Z
dc.date.issued2017
dc.departmentİnönü Üniversitesien_US
dc.description.abstractIn this paper, composite parts bonded with embedded single lap joint (SLJ) subjected to tensile load were analyzed by using 3D finite element method (FEM). In the analysis, the composite parts are carbon/epoxy (AS4/3501-6) with different fiber orientation angles and the adhesive is DP 410. The models for the numerical analyses were generated by using ANSYS software package. The finite element analyses (FEA) were carried out to predict the failure loads. Stress in x-, y-and z-directions, shear stresses and the von-Mises stresses on adhesive were obtained at the time of the failure for predetermined parameters. Consequently, the effects of orientation angles, overlap widths and length, and adhesive layer were examined. The most effective parameters were determined for composite parts adhesively bonded with embedded single lap joint.en_US
dc.identifier.doi10.3139/120.111029
dc.identifier.endpage465en_US
dc.identifier.issn0025-5300
dc.identifier.issue5en_US
dc.identifier.scopus2-s2.0-85020075127en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage459en_US
dc.identifier.urihttps://doi.org/10.3139/120.111029
dc.identifier.urihttps://hdl.handle.net/11616/97835
dc.identifier.volume59en_US
dc.identifier.wosWOS:000402541500008en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherCarl Hanser Verlagen_US
dc.relation.ispartofMaterials Testingen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectWear modelingen_US
dc.subjectmetal-matrix compositeen_US
dc.subjecttwo-body abrasionen_US
dc.subjectartificial neural networken_US
dc.titleMechanical testing and analysis of composite parts adhesively joined under tensile loaden_US
dc.typeArticleen_US

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