Datasets:
akumar33
/
manufacturing

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a O
fast O
, O
scalable O
method O
for O
part-scale O
process B-CONPRI
optimization E-CONPRI
of O
arbitrary O
geometries S-CONPRI
. O
The O
computational O
approach O
uses O
feature B-ENAT
extraction E-ENAT
to O
identify O
scan O
vectors O
in O
need O
of O
parameter S-CONPRI
adaptation O
and O
applies O
results O
from O
simulation-based O
feed S-PARA
forward O
control O
models O
. O
This O
method O
provides O
a O
framework S-CONPRI
to O
quickly O
optimize O
complex O
parts O
through O
the O
targeted O
application O
of O
models O
with O
a O
range S-PARA
of O
fidelity O
and O
by O
automating O
the O
transfer O
of O
optimization S-CONPRI
strategies O
to O
new O
part O
designs S-FEAT
. O
The O
computational O
approach O
and O
algorithmic O
framework S-CONPRI
are O
described O
, O
a O
software S-CONPRI
package O
is O
implemented O
, O
the O
method O
is O
applied O
to O
parts O
with O