Datasets:
akumar33
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manufacturing

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This O
second O
part O
uses O
the O
temperature S-PARA
history O
from O
the O
TCN S-CONPRI
to O
inform O
a O
model S-CONPRI
of O
thermal B-CONPRI
distortion E-CONPRI
using O
a O
quasi-static B-CONPRI
thermo-mechanical I-CONPRI
model E-CONPRI
( O
QTM S-CONPRI
) O
. O
The O
QTM B-CONPRI
model E-CONPRI
distinguished O
two O
periods O
of O
Metal S-MATE
PBF O
, O
the O
thermal B-CONPRI
loading E-CONPRI
period O
and O
the O
stress B-CONPRI
relaxation E-CONPRI
period O
. O
In O
the O
thermal B-CONPRI
loading E-CONPRI
period O
, O
the O
layer-by-layer S-CONPRI
build B-PARA
cycles E-PARA
of O
Metal S-MATE
PBF O
are O
simulated O
, O
and O
the O
thermal B-PRO
stress E-PRO
accumulated O
in O
the O
build S-PARA
process O
is O
predicted S-CONPRI
. O
In O
the O
stress B-CONPRI
relaxation E-CONPRI
period O
, O
the O
removal O
of O
parts O
from O
the O
substrate S-MATE
is O
simulated O
, O
and O
the O