Effect of porosity and microstructure defects in out-of-plane properties of 3D printed composite materials made by continuous fiber reinforcement

dc.audience.educationlevelInvestigadores/Researchers
dc.contributor.advisorTreviño Quintanilla, Cecilia Daniela
dc.contributor.authorMoreno Núñez, Benjamín Alberto
dc.contributor.catalogermtyahinojosa, emipsanchez
dc.contributor.committeememberCuán Urquizo, Enrique
dc.contributor.committeememberSánchez Santana, Ulises
dc.contributor.committeememberPérez Santiago, Rogelio
dc.contributor.departmentSchool of Engineering and Sciences
dc.contributor.institutionCampus Monterrey
dc.contributor.mentorPincheira Orellana, Gonzalo
dc.date.accepted2025-11-19
dc.date.accessioned2026-02-08T01:55:00Z
dc.date.embargoenddate2026-12-11
dc.date.issued2025-12-03
dc.descriptionhttps://orcid.org/0000-0002-3076-922X
dc.description.abstractThis research presents a comprehensive experimental and predictive analysis of 3D printed composite materials (3DPCM) made with Onyx reinforced Kevlar fibers. The mechanical behavior was characterized through three in-plane (tensile, compression and flexural) and four out-of-plane (Mode I, Mode II, Mixed-Mode I/II fracture, and short-beam strength) tests to evaluate both intralaminar and interlaminar responses. In-plane results revealed a strong dependence on fiber orientation, with the 0° fiber orientation achieving higher tensile and flexural, while the 90° fiber orientation exhibited slightly greater compressive modulus. Out-of-plane results demonstrated higher Mode I fracture toughness in 90° fiber orientation, whereas Mode II and mixed mode responses were dominated by shear effects, following the relationship 𝐺𝐼𝐼𝑐 >𝐺𝐼𝑐 > 𝐺𝐼/𝐼𝐼𝑐. Microstructural analysis identified voids, matrix peeling, fiber exposure, and poor impregnation as the key defects influencing crack initiation and delamination. Also, void content of the samples demonstrated an impact in mechanical properties as in traditionally made composites, the higher the void content the higher the mechanical variation. Finally, a machine-learning predictive model was developed to predict load-displacement curves in Short-Beam Strength tests, enabling accurate prediction of mechanical responses (𝑅2 > 0.94) based on number of fiber layers and fiber orientation configuration. These findings highlight the strong coupling between printing parameters and mechanical performance, providing valuable insights for the design and optimization of 3DPCM.
dc.description.degreeDoctorado en Ciencias de Ingeniería
dc.format.mediumTexto
dc.identificator331208||331212
dc.identifier.cvu1045844
dc.identifier.orcidhttps://orcid.org/0000-0003-4477-5046
dc.identifier.scopusid58136983200
dc.identifier.urihttps://hdl.handle.net/11285/705364
dc.language.isoeng
dc.publisherInstituto Tecnológico y de Estudios Superiores de Monterrey
dc.relationSecretaría de Ciencia, Humanidades, Tecnología e Innovación (Secihti), CVU: 1045844
dc.relation.isFormatOfacceptedVersion
dc.rightsopenAccess
dc.rights.embargoreasonPor política las tesis de Ciencias Exactas y Ciencias de la Salud estarán en embargo por 1 año
dc.rights.urihttps://creativecommons.org/licenses/by-sa/4.0
dc.subject.classificationINGENIERÍA Y TECNOLOGÍA::CIENCIAS TECNOLÓGICAS::TECNOLOGÍA DE MATERIALES::PROPIEDADES DE LOS MATERIALES
dc.subject.classificationINGENIERÍA Y TECNOLOGÍA::CIENCIAS TECNOLÓGICAS::TECNOLOGÍA DE MATERIALES::ENSAYOS DE MATERIALES
dc.subject.keyword3D printing
dc.subject.keyword3D printed composite materials
dc.subject.keywordFracture toughness
dc.subject.keywordOnyx
dc.subject.keywordKevlar
dc.subject.lcshScience
dc.subject.lcshTechnology
dc.titleEffect of porosity and microstructure defects in out-of-plane properties of 3D printed composite materials made by continuous fiber reinforcement
dc.typeTesis de doctorado

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