Outcomes and Conclusions from the 2022 AM Bench Measurements, Challenge Problems, Modeling Submissions, and Conference
Integrating materials and manufacturing innovation,
Journal Year:
2024,
Volume and Issue:
13(3), P. 598 - 621
Published: July 17, 2024
Abstract
The
Additive
Manufacturing
Benchmark
Test
Series
(AM
Bench)
provides
rigorous
measurement
data
for
validating
additive
manufacturing
(AM)
simulations
a
broad
range
of
AM
technologies
and
material
systems.
Bench
includes
extensive
in
situ
ex
measurements,
simulation
challenges
the
modeling
community,
corresponding
conference
series.
In
2022,
second
round
challenge
problems,
were
completed,
focusing
primarily
upon
laser
powder
bed
fusion
(LPBF)
processing
metals,
both
extrusion
vat
photopolymerization
polymers.
all,
more
than
100
people
from
10
National
Institute
Standards
Technology
(NIST)
divisions
21
additional
organizations
directly
involved
2022
management,
organization.
international
community
submitted
138
sets
blind
comparison
with
up
46
submissions
first
2018.
Analysis
these
valuable
insight
into
current
capabilities.
are
permanently
archived
freely
accessible
online.
also
hosted
an
embedded
workshop
on
qualification
certification
materials
components.
Language: Английский
Laser-Direct Energy Deposition of the High γʹ LW 4280 Ni-Based Superalloy
Ashutosh Jena,
No information about this author
Alexandre Gontcharov,
No information about this author
Paul Lowden
No information about this author
et al.
Journal of Alloys and Compounds,
Journal Year:
2025,
Volume and Issue:
unknown, P. 180503 - 180503
Published: April 1, 2025
Language: Английский
Location-Specific Microstructure Characterization Within AM Bench 2022 Nickel Alloy 718 3D Builds
Integrating materials and manufacturing innovation,
Journal Year:
2024,
Volume and Issue:
13(3), P. 585 - 597
Published: July 15, 2024
Abstract
The
Additive
Manufacturing
Benchmark
Test
Series
(AM
Bench)
is
a
broad
effort
to
produce
rigorous
measurement
datasets
for
validating
AM
computer
simulations
across
the
range
of
processing,
structure,
and
properties,
many
additive
manufacturing
(AM)
build
methods
material
classes.
Here,
microstructures
nickel
alloy
718
Bench
2022
test
artifacts
produced
using
laser-based
powder
bed
fusion
(PBF-LB),
in
both
as-built
fully
heat-treated
conditions,
are
examined.
Cross
sections
primarily
characterized
large
area
scanning
electron
microscopy
(SEM)
backscatter
diffraction
(EBSD)
example
analyses
crystallographic
textures
described.
These
data
part
set
situ
ex
measurements
from
three-dimensional
builds
laser
tracks
on
bare
plates.
All
available
online
with
download
links
at
www.nist.gov/ambench
.
Language: Английский
Bridging length scales in hard materials with ultra-small angle X-ray scattering – a critical review
IUCrJ,
Journal Year:
2024,
Volume and Issue:
11(5), P. 675 - 694
Published: Aug. 1, 2024
Owing
to
their
exceptional
properties,
hard
materials
such
as
advanced
ceramics,
metals
and
composites
have
enormous
economic
societal
value,
with
applications
across
numerous
industries.
Understanding
microstructural
characteristics
is
crucial
for
enhancing
performance,
development
unleashing
potential
future
innovative
applications.
However,
microstructures
are
unambiguously
hierarchical
typically
span
several
length
scales,
from
sub-ångstrom
micrometres,
posing
demanding
challenges
characterization,
especially
in
situ
characterization
which
critical
understanding
the
kinetic
processes
controlling
microstructure
formation.
This
review
provides
a
comprehensive
description
of
rapidly
developing
technique
ultra-small
angle
X-ray
scattering
(USAXS),
nondestructive
method
probing
nano-to-micrometre
scale
features
materials.
USAXS
its
complementary
techniques,
when
developed
applied
materials,
offer
valuable
insights
into
porosity,
grain
size,
phase
composition
inhomogeneities.
We
discuss
fundamental
principles,
instrumentation,
advantages,
global
status
Using
selected
examples,
we
demonstrate
this
unveiling
relevance
manufacturing
process
optimization.
also
provide
our
perspective
on
opportunities
continued
USAXS,
including
multimodal
coherent
scattering,
time-resolved
studies,
machine
learning
autonomous
experiments.
Our
goal
stimulate
further
implementation
exploration
techniques
inspire
broader
adoption
various
domains
science,
thereby
driving
field
toward
discoveries
developments.
Language: Английский