Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/111151
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dc.contributor.authorAbdelfatah, Jacoben_US
dc.contributor.authorPaz Hernández, Rubénen_US
dc.contributor.authorAlemán Domínguez, María Elenaen_US
dc.contributor.authorMonzón Verona, Mario Domingoen_US
dc.contributor.authorDonate González, Ricardoen_US
dc.contributor.authorWinter Althaus, Gabrielen_US
dc.date.accessioned2021-07-28T11:43:38Z-
dc.date.available2021-07-28T11:43:38Z-
dc.date.issued2021en_US
dc.identifier.issn1996-1944en_US
dc.identifier.otherScopus-
dc.identifier.urihttp://hdl.handle.net/10553/111151-
dc.description.abstractThe degradation rate of polycaprolactone (PCL) is a key issue when using this material in Tissue Engineering or eco-friendly packaging sectors. Although different PCL-based composite materials have been suggested in the literature and extensively tested in terms of processability by material extrusion additive manufacturing, little attention has been paid to the influence of the fillers on the mechanical properties of the material during degradation. This work analyses the possibility of tuning the degradation rate of PCL-based filaments by the introduction of microcrystalline cellulose into the polymer matrix. The enzymatic degradation of the composite and pure PCL materials were compared in terms of mass loss, mechanical properties, morphology and infrared spectra. The results showed an increased degradation rate of the composite material due to the presence of the filler (enhanced interaction with the enzymes). Additionally, a new numerical method for the prediction of the degraded geometry was developed. The method, based on the Monte Carlo Method in an iterative process, adjusts the degradation probability according to the exposure of each discretized element to the degradation media. This probability is also amplified depending on the corresponding experimental mass loss, thus allowing a good fit to the experimental data in relatively few iterations.en_US
dc.languageengen_US
dc.relationMejora de la Biofuncionalidad de Scaffolds Polimericos Obtenidos Por Fabricacion Aditivaen_US
dc.relation.ispartofMaterialsen_US
dc.sourceMaterials [EISSN 1996-1944], v. 14 (9), 2460, (Mayo 2021)en_US
dc.subject3303 ingeniería y tecnología químicasen_US
dc.subject.otherEnzymatic Degradationen_US
dc.subject.otherMicrocrystalline Celluloseen_US
dc.subject.otherMonte Carlo Methoden_US
dc.subject.otherNumerical Methoden_US
dc.subject.otherPolycaprolactoneen_US
dc.subject.otherPrediction Of Degraded Geometryen_US
dc.titleExperimental analysis of the enzymatic degradation of polycaprolactone: Microcrystalline cellulose composites and numerical method for the prediction of the degraded geometryen_US
dc.typeinfo:eu-repo/semantics/Articleen_US
dc.typeArticleen_US
dc.identifier.doi10.3390/ma14092460en_US
dc.identifier.scopus85106554967-
dc.contributor.orcidNO DATA-
dc.contributor.orcidNO DATA-
dc.contributor.orcidNO DATA-
dc.contributor.orcidNO DATA-
dc.contributor.orcidNO DATA-
dc.contributor.orcidNO DATA-
dc.contributor.authorscopusid57223966967-
dc.contributor.authorscopusid8590822200-
dc.contributor.authorscopusid56097219900-
dc.contributor.authorscopusid7003371153-
dc.contributor.authorscopusid57201736831-
dc.contributor.authorscopusid7202988477-
dc.identifier.eissn1996-1944-
dc.identifier.issue9-
dc.relation.volume14en_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Artículoen_US
dc.description.notasThis article belongs to the Special Issue Computational Materials Modeling, Analysis and Applicationsen_US
dc.utils.revisionen_US
dc.date.coverdateMayo 2021en_US
dc.identifier.ulpgcen_US
dc.contributor.buulpgcBU-INGen_US
dc.description.sjr0,682
dc.description.jcr3,623
dc.description.sjrqQ2
dc.description.jcrqQ1
dc.description.scieSCIE
dc.description.miaricds10,6
item.fulltextCon texto completo-
item.grantfulltextopen-
crisitem.author.deptGIR SIANI: Computación Evolutiva y Aplicaciones-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.deptGIR Fabricación integrada y avanzada-
crisitem.author.deptDepartamento de Ingeniería Mecánica-
crisitem.author.deptGIR Fabricación integrada y avanzada-
crisitem.author.deptDepartamento de Ingeniería Mecánica-
crisitem.author.deptGIR Fabricación integrada y avanzada-
crisitem.author.deptGIR SIANI: Computación Evolutiva y Aplicaciones-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.deptDepartamento de Matemáticas-
crisitem.author.orcid0000-0003-1223-7067-
crisitem.author.orcid0000-0002-2254-9905-
crisitem.author.orcid0000-0003-2736-7905-
crisitem.author.orcid0000-0002-4337-5991-
crisitem.author.orcid0000-0003-0890-7267-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.parentorgDepartamento de Ingeniería Mecánica-
crisitem.author.parentorgDepartamento de Ingeniería Mecánica-
crisitem.author.parentorgDepartamento de Ingeniería Mecánica-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.fullNameAbdelfatah Ndioubnane, Jacob-
crisitem.author.fullNamePaz Hernández, Rubén-
crisitem.author.fullNameAlemán Domínguez, María Elena-
crisitem.author.fullNameMonzón Verona, Mario Domingo-
crisitem.author.fullNameDonate González, Ricardo-
crisitem.author.fullNameWinter Althaus, Gabriel-
crisitem.project.principalinvestigatorMonzón Verona, Mario Domingo-
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