Datasets:
akumar33
/
manufacturing

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limitations O
, O
here O
we O
present O
a O
new O
model B-CONPRI
calibration E-CONPRI
and O
model S-CONPRI
selection O
framework S-CONPRI
based O
on O
the O
high O
dimensional O
, O
local-scale O
deformation B-CONPRI
data E-CONPRI
. O
By O
matching O
the O
pixel-level O
deformation B-CONPRI
data E-CONPRI
from O
digital B-CONPRI
image I-CONPRI
correlation E-CONPRI
experiments O
and O
constitutive O
modeling S-ENAT
, O
the O
presented O
framework S-CONPRI
enables O
more O
accurate S-CHAR
prediction O
and O
significant O
reduction S-CONPRI
of O
the O
prediction S-CONPRI
uncertainties O
, O
as S-MATE
compared O
to O
the O
single O
material S-MATE
calibration S-CONPRI
approach O
that O
is O
widely O
used O
in O
additive B-MANP
manufacturing E-MANP
. O
In O
turn O
, O
this O
enables O
quantitative S-CONPRI
comparison O
of O
the O
candidate O
models O
, O
so O
the O
most O
accurate S-CHAR
and O
computationally O
efficient O
constitutive O
model S-CONPRI
can O
be S-MATE
selected O
for O
forward O
prediction S-CONPRI