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dc.contributor.authorPeron, Mirco
dc.contributor.authorTorgersen, Jan
dc.contributor.authorBerto, Filippo
dc.date.accessioned2019-02-25T11:56:04Z
dc.date.available2019-02-25T11:56:04Z
dc.date.created2018-11-12T13:29:31Z
dc.date.issued2018
dc.identifier.citationMaterials. 2018, 11 .nb_NO
dc.identifier.issn1996-1944
dc.identifier.urihttp://hdl.handle.net/11250/2587228
dc.description.abstractIn recent years, the need of surgical procedures has continuously increased and, therefore, researchers and clinicians are broadly focusing on the development of new biocompatible materials. Among them, polyetheretherketone (PEEK) has gained wide interest in load-bearing applications due to its yielding behaviour and its superior corrosion resistance. To assure its reliability in these applications where notches and other stress concentrators weaken implants resistance, a design tool for assessing its tensile and fatigue behaviour in the presence of geometrical discontinuities is highly claimed. Herein, a new fatigue design method based on a local approach is proposed for PEEK implant, and the results are compared with those obtained using the two main biomaterial design approaches available in literature, i.e., the theory of critical distances (TCD) and the notch stress intensity factor (NSIF) approach. To this aim, previously published datasets of PEEK-notched specimens are used, and the proposed method is reported to provide more accurate results and to be robust for different notch geometries.nb_NO
dc.language.isoengnb_NO
dc.publisherMDPInb_NO
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleA novel approach for assessing the fatigue behavior of PEEK in a physiologically relevant environmentnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersionnb_NO
dc.source.pagenumber12nb_NO
dc.source.volume11nb_NO
dc.source.journalMaterialsnb_NO
dc.identifier.doi10.3390/ma11101923
dc.identifier.cristin1629499
dc.description.localcode© 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/)nb_NO
cristin.unitcode194,64,92,0
cristin.unitnameInstitutt for maskinteknikk og produksjon
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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