Prediction of Fatigue Lives in Additively Manufactured Alloys Based on the Crack-Growth Concept

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dc.creatorYadollahi, Aref
dc.creatorMahtabi, Mohammad J.
dc.creatorDoude, Haley R.
dc.creatorNewman, James C. Jr
dc.date.accessioned2021-11-02T13:35:51Z
dc.date.available2021-11-02T13:35:51Z
dc.date.issued2017
dc.description.abstractThis paper aims to predict the fatigue behavior of additively manufactured alloys using crack-growth data. Among different sources of damage under cyclic loadings, fatigue due to cracks originated from voids is the most life-limiting failure mechanism in powder-based metal additive manufacturing (AM) parts. Hence, the ability to predict the fatigue behavior of AM materials based on the void features is the first step toward improving AM part reliability. Test results from the literature on AM alloys are analyzed herein to model fatigue behavior based on the semi-circular surface flaws. The fatigue-life variations in the specimens are captured using the distribution of defect size. The results indicate that knowing the statistical distribution of the defect size can provide the opportunity of predicting the scatter in the fatigue-life of the AM materials, using an appropriate fatigue analysis code.en_US
dc.description.departmentMechanical Engineeringen_US
dc.identifier.urihttps://hdl.handle.net/2152/89798
dc.language.isoengen_US
dc.publisherUniversity of Texas at Austinen_US
dc.relation.ispartof2017 International Solid Freeform Fabrication Symposiumen_US
dc.rights.restrictionOpenen_US
dc.subjectadditive manufacturingen_US
dc.subjectAMen_US
dc.subjectlaser powder bed fusionen_US
dc.subjectL-PBFen_US
dc.subjectfatigue-life predictionen_US
dc.subjectcrack growthen_US
dc.subjectFASTRANen_US
dc.titlePrediction of Fatigue Lives in Additively Manufactured Alloys Based on the Crack-Growth Concepten_US
dc.typeConference paperen_US

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