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      Numerical Prediction of the Fatigue Crack Growth Rate in SLM Ti-6Al-4V Based on Crack Tip Plastic Strain

      , , , ,
      Metals
      MDPI AG

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          Abstract

          This study presents a numerical model to predict the fatigue crack growth (FCG) rate in compact tension specimens under constant amplitude cyclic loadings. The material studied is the Ti-6Al-4V titanium alloy produced by selective laser melting, which was submitted to two different post-treatments: (i) hot isostatic pressing, and (ii) heat treatment. The developed finite element model uses the cumulative plastic strain at the crack tip to define the nodal release. Two different FCG criteria are presented, namely the incremental plastic strain (IPS) criterion and the total plastic strain (TPS) criterion. The calibration of the elasto-plastic constitutive model was carried out using experimental data from low cycle fatigue tests of smooth specimens. For both proposed crack growth criteria, the predicted da/dN-ΔK curve is approximately linear in log-log scale. However, the slope of the curve is higher using the TPS criterion. The numerical predictions of the crack growth rate are in good agreement with the experimental results, which indicates that cyclic plastic deformation is the main damage mechanism. The numerical results showed that increasing the stress ratio leads to a shift up of the da/dN-ΔK curve. The effect of stress ratio was dissociated from variations of cyclic plastic deformation, and an extrinsic mechanism, i.e., crack closure phenomenon, was found to be the cause.

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          Most cited references2

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          Review on Machinability of Titanium Alloys: The Process Perspective

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            Modeling of fatigue growth: Dislocation models

            Pippan (2003)
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              Author and article information

              Contributors
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              Journal
              MBSEC7
              Metals
              Metals
              MDPI AG
              2075-4701
              September 2020
              August 23 2020
              : 10
              : 9
              : 1133
              Article
              10.3390/met10091133
              93e43635-ba8c-4743-a28b-ec5523662439
              © 2020

              https://creativecommons.org/licenses/by/4.0/

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