Qualification of AM parts: the application of extreme value statistics for volumetric defect analysis

S Romano, S Beretta, A Brandão… - 14th European …, 2016 - researchgate.net
S Romano, S Beretta, A Brandão, J Gumpinger, T Ghidini
14th European Conference on Spacecraft Structures, Materials and …, 2016researchgate.net
… Prediction of the fatigue strength of homogeneous material volumes for the qualification
of AM parts. How? Analysis of witness specimens by computed tomography (CT) and
application of extreme value statistics. … • Large defects are caused by lack of fusion,
elongated perpendicularly to the build direction; • Comparable exponential distributions of
large defects; • POT is simple and yields good extreme value estimates; • Defects at the
origin of failure are well described by the distribution of the maxima in the gage volume; • …
1. Purpose
What? Prediction of the fatigue strength of homogeneous material volumes for the qualification of AM parts. How? Analysis of witness specimens by computed tomography (CT) and application of extreme value statistics.
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