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Multiaxial Fatigue Life Estimations for 6082-T6 Cylindrical Specimens Under ...   101

        of  survival) were  determined by using  the p=l and  p=O  series (Tables 2 and 3) and under the
        hypothesis of  a log-normal distribution of  the number of cycles for each stress level and for the
        95% confidence level. By using the measured applied stresses and the actual out-of-phase angles,
        all  the  experimental  data  reported  in  Tables  2-5  were  re-analysed  in  terms  of  shear  stress
        amplitude and maximum stress normal to the initiation plane, defined as the plane that experienced
        the maximum shear stress amplitude.
          Assuming a linear expression for the tA,Ref (p)  and k, (p)  functions and using the bending (p=l)
        and torsional (p=O)  fatigue curves for the model calibrations, Eqs. (3) and (4) can be rewritten as:







          Figure 14 shows the correlation of experimental fatigue life Nc2% vs. estimated fatigue life Nf,,
        calculated by Eq. 2.  In this diagram both the multiaxial fatigue data and the calibration data have
        been plotted together; calibration data were the bending and torsional tests used to determine Eq.
        (5) and (6).  In this figure the  continuous straight lines were used to define the bending scatter
        band,  while the dashed lines delimited the torsional scatter band.  Even  in this  case the scatter
        bands were determined under the hypothesis of a log-normal distribution of the number of cycles
        to failure with a confidence level equal to 95%.
          By observing Figure 14 it is possible to notice that both in-phase and out-of-phase multiaxial
        data were  located within  the widest  scatter band  related  either to  axial or to torsional data.  In
        particular,  predictions  concerning  in-phase  data  were  always  conservative;  out-of-phase  data
        having h>l were positioned in the non-conservative zone, whereas fatigue points having he1 were
        located in the conservative zone.


        CONCLUSIONS

        Specimens used  in this  investigation were  manufactured by  means of  a process which  did not
        allow to obtain a high degree of  isotropy in the material. The main consequence of  this situation
        was that  6082 T6 changed  considerably its fatigue cracking behaviour  as the value of  applied
        h-~,~,&,~ changed: when the bending prevailed over the torsion (hel), cracks grew in MODE I
        and their initiation occurred at the maximum stress value points; on the contrary, when the applied
        torque prevailed over the bending (bl), cracks were always generated over all the gauge surface
        and  oriented  mainly  along  the  extrusion  direction.  Therefore,  cracks  grew  either  along  the
        specimen axis or perpendicular to it and this trend was evident both for in-phase and out-of-phase
        tests.
          The  fatigue  life  prediction  was  performed  by  using  the  method  proposed  by  Susmel  and
        Lazzarin without taking into account the material anisotropy. The model was calibrated by means
        of  the 50% probability of survival bending and torsional fatigue curves. This method correlated
        reasonably well  with  the  experimental  results,  despite  the  peculiar  fatigue  cracking behaviour
        showed by the investigated 6082 T6 aluminium alloy.
          Finally, two facts can be pointed out to confirm the  soundness of  the  employed fatigue life
        prediction method the first one is the ability of  the wider scatter band coming from calibration
        data to contain all the multiaxial data independently of  out-of-phase angles, biaxiality ratios and
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