Identification and validation of an extended Stewart-Cazacu micromechanics damage model applied to Ti-6Al-4V specimens exhibiting positive stress triaxialities

datacite.alternateIdentifier.citationPROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART L-JOURNAL OF MATERIALS-DESIGN AND APPLICATIONS,Vol.235,1248-1261,2021
datacite.alternateIdentifier.doi10.1177/14644207211009933
datacite.creatorRojas-Ulloa, Carlos
datacite.creatorValenzuela, Marian
datacite.creatorTuninetti, Victor
datacite.creatorHabraken, Anne-Marie
datacite.date2021
datacite.subject.englishFinite element modeling
datacite.subject.englishmicromechanics damage model
datacite.subject.englishCazacu yield criterion
datacite.subject.englishductile fracture
datacite.subject.englishhcp material
datacite.subject.englishcoupled damage law
datacite.titleIdentification and validation of an extended Stewart-Cazacu micromechanics damage model applied to Ti-6Al-4V specimens exhibiting positive stress triaxialities
dc.date.accessioned2021-10-04T18:54:31Z
dc.date.available2021-10-04T18:54:31Z
dc.description.abstractIn this research, the Stewart-Cazacu micromechanics coupled damage model is extended and validated adding nucleation and coalescence models as new damage mechanisms. The Ti-6Al-4V titanium alloy is chosen as a suitable hcp ductile material to be modeled using this extended damage law. The characterization of the damage evolution in this alloy is addressed throughout a quasi-static experimental campaign. Damage characterization relies on in situ X-ray tomography data and scanning electron microscopy imaging technique. The validation procedure consists in the implementation into the finite element research software Lagamine of ULiege and in the comparison of numerical predictions and experimental results. Load-displacement curves and damage-related state variables at fracture configuration from smooth and notched bar specimens submitted to tensile tests are analyzed. The nucleation and coalescence model extensions as well as an accurate elastoplastic and damage material parameter identification for Ti-6Al-4V samples are essential features to reach a validated model. The prediction capabilities exhibited for large strains are in good agreement with experimental results, while the near-fracture strains can still be improved.
dc.identifier.urihttp://repositoriodigital.uct.cl/handle/10925/4325
dc.language.isoen
dc.publisherSAGE PUBLICATIONS LTD
dc.sourcePROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART L-JOURNAL OF MATERIALS-DESIGN AND APPLICATIONS
oaire.resourceTypeArticle
uct.indizacionSCI
Files