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The effect of processing parameter on zirconium modified
Al-Cu-Mg alloys fabricated by selective laser melting
Xiaojia Nie*, Hu Zhang*,†, Haihong Zhu*, Zhiheng Hu*, Xiaoyan
Zeng*
*Wuhan National Laboratory for Optoelectronics, Huazhong
University of Science and Technology, Wuhan, Hubei, P.R. of
China
†School of Optical and Electronic Information, Huazhong
University of Science and
Technology, Wuhan, Hubei, P.R. of China
Abstract The newly designed alloy compositions for selective
laser melting (SLM) have
aroused great interest. In this study, zirconium modified
Al-Cu-Mg alloys were fabricated by SLM. Results show that
crack-free samples with relative density of nearly 100% were
obtained by optimizing the processing parameters. With the increase
of scanning speed, the relative density decreases due to
insufficient energy input. In addition, the microstructure
transforms from homogeneous to bio-modal, the reason is the
unstable flows caused by the high scanning speed. The small
hatching space will provide more energy input and preheat, leading
to the coarse surface.
Introduction Additive Manufacturing (AM) processes enable to
fabricate parts with very
complex shape[1]. Selective laser melting (SLM), one of the
preferred AM techniques, has recently gained considerable attention
due to high manufacturing flexibility, near-net-shape production
and efficient use of raw material[2, 3]. Al-Cu-Mg alloy has become
an attractive material due to the low density, high fracture
toughness and fatigue strength[4, 5]. Nowadays, processing high
strength aluminum alloys by SLM is confronted with great
difficulties because of its poor flowability, high reflectivity,
high thermal conductivity, large solidification range and hot
cracking susceptibility[6]. Therefore, the biggest stumbling block
to the application of high strength aluminum in SLM is the hot
crack. To expand the scope of aluminum alloys suiting for SLM, new
high strength aluminum alloys are urgent to be investigated.
Recently, scandium (Sc), zirconium (Zr), titanium (Ti) and
vanadium (V) have been proved as the effective microalloying
element for aluminum alloys to improve the weldability and
mechanical properties[7-9]. Nowadays, the addition of microalloying
element has been applied to SLM aluminum alloys to improve their
formability. The microstructural evolution, densification,
properties and heat treatment of Al-Mg-Sc-Zr fabricated by SLM have
been investigated[10-13]. Zhang H et al.[14] have found that the Zr
modified Al-Cu-Mg parts with ultrafine grain exhibits better
mechanical properties and broader processing window. However, the
effect of processing parameters on the Zr modified Al-Cu-Mg alloy
has not been studied.
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Solid Freeform Fabrication 2018: Proceedings of the 29th Annual
InternationalSolid Freeform Fabrication Symposium – An Additive
Manufacturing Conference
Reviewed Paper
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The present work investigated the effect of scanning speed and
hatching space on Zr modified Al-Cu-Mg alloy fabricated by SLM. The
relative density, surface roughness, microstructure and element
distribution were discussed under different processing
parameters.
Materials and experiment procedures Materials
The spherical gas atomized Al-Cu-Mg powders with an average
particle size of 36 μm was used in the experiments. The powder had
a composition of 93.23 Al, 4.24 Cu, 1.97 Mg, and 0.56 Mn in wt.%.
The Al-Cu-Mg powder mixture with zirconium particles were blended
by mechanical mixing in an argon atmosphere for 4 h. The morphology
of pure Zr powders and the Al-Cu-Mg powders mixture with 2%
zirconium are shown in Fig. 1.
Fig. 1. Morphology of pure Zr powders (a) and Al-Cu-Mg powders
with 2 wt.% Zr addition (b).
SLM processing The SLM experiments were conducted on a
self-developed machine (LSNF-I)
whose details have been given elsewhere[15, 16]. All samples
were deposited on the commercially AA 2024 substrate in an argon
environment with the concentrations of H2O and O2 controlled well
below 20 ppm. The SLM processing parameters of cubic samples were
given in Table 1.
Table 1 SLM processing parameters used in the experiments.
Experiment Parameters Value
Cubic samples Laser power (P, W) 200 Dimensions (mm3) 5*5*5
Scanning speed (V, m/min) 5, 10, 15, 20, 25 and 30 Hatching space
(HP, μm) 60, 70, 80 and 90 Layer thickness (D, μm)
Scanning strategy (θ, °)
40 90
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Characterization The particle size was measured using the
Malvern UK Mastersizer 3000. The
relative density of the cubic specimens was evaluated by image
processing of eight cross-section optical micrographs using
ImagePro Plus 6.0 software. All samples were subjected to a
standard metallographic procedure. For microstructure analysis,
samples were etched by a solvent which consists of 2.5 mL HNO3, 1.5
mL HCl, 1 mL HF and 95 mL deionized water. The microstructure was
characterized using an optical microscope (OM, EPIPHOT 300). The
elements distribution of cubic samples was conducted by electron
probe microanalyzer (EPMA). The surface roughness was obtained by
using laser scanning confocal microscope (LSCM, KEYENCE
VK-X200K).
Results and discussions Formability
Fig. 2 shows the effect of scanning speed on the relative
density of the selective laser melted (SLMed) samples (hatching
space fixed at 90 μm). It is observed that the relative density
decreases with the increase of scanning speed. Nearly fully dense
samples were obtained when the scanning speed is low enough (5
m/min).
Fig. 2. Effect of scanning speed on the relative density. Fig. 3
demonstrates the cross-sections of samples fabricated at different
scanning
speeds (hatching space fixed at 90 μm). The irregular pores
occur when the scanning speed reaches to 20 m/min. The relative
density significantly decreases when energy input is insufficient,
that is, the scanning speed is too high to provide enough energy to
melt adequate metal powders. Therefore, the irregular pores occur
due to the weak connection between the layers and tracks.
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Fig. 3. Polished cross-sections of samples fabricated at
different scanning speeds: (a) 5 m/min, (b) 10 m/min, (c) 15 m/min,
(d) 20 m/min, (e) 25 m/min and (f) 30 m/min.
Fig. 4 shows the effect of hatching space on the relative
density and surface roughness (scanning speed fixed at 10 m/min).
From Fig. 4a-d, as the hatching space increases, the samples still
fully dense. It clearly shows that the percentage of overlapping is
adequate to guarantee the connection between the tracks. As far as
surface roughness concerned, small hatching space (less than 70 μm)
leads to high energy input and coarse surface with many metal
balls, as shown in Fig. 4e and f. It is suggested that small
hatching space enables the track fabricated previously to receive
more energy and has preheating function to the following tracks,
which generates the excessive size of the melt pool, therefore,
balling phenomenon occurs. The surface roughness of samples
fabricated at 60, 70, 80 and 90 μm are 10.47, 8.44, 6.97 and 6.46
μm, respectively. Taking into consideration the relative density,
processing efficiency and surface roughness, the optimal processing
parameters are laser power of 200 W, hatching space of 90 μm, layer
thickness of 40 μm, and scanning speed of 10 m/min.
Fig. 4. Polished cross-sections and 3D images of samples
fabricated at different hatching spaces (scanning speed fixed at 10
m/min): (a, e) 60 μm, (b, f) 70 μm, (c, g) 80 μm and (d, h) 90
μm.
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Microstructure Fig. 5 shows the microstructure of samples
fabricated with different scanning
speeds. The distribution of equiaxed grains is homogenous when
the scanning speed is 5 m/min, as presented in Fig. 5a. Fig. 5b-c
shows the typical bi-modal microstructure, that is, the fine
equiaxed grains intersperse with coarse grains. However, the flow
of molten metal is much more unstable when the scanning speed is
above 15 m/min, as shown in Fig.5 d-f. More details can be found in
the work of H. Zhang [14]. The boundary of melt pool becomes blurry
due to the unstable flow. What’s more, the grain size slightly
decreases with the increase of scanning speed. High scanning speed
leads to the high cooling rate, which contributes to the refinement
of grains.
Fig. 5. Microstructure of SLMed samples fabricated with
different scanning speeds: (a) 5 m/min, (b) 10 m/min, (c) 15 m/min,
(d) 20 m/min, (e) 25 m/min and (f) 30 m/min.
Element distribution Fig. 6 illustrate the distribution of
elements in the SLMed samples fabricated at 10
m/min. It is clearly demonstrated that Cu and O elements are
mainly enriched in the grain boundaries (Fig. 6b and e). In
addition, Zr element is enriched in the junction of larger equiaxed
grains and fine equiaxed grains, as illustrated in Fig. 6d. It is
worth noting that little zirconium oxides can be observed in the
grains.
Fig. 6. Quantitative chemical maps obtained using EPMA in the
cross-section of samples fabricated at 10 m/min.
Conclusions Effect of scanning speed and hatching space on the
relative density and surface
roughness of SLMed 2 wt.% modified Al-Cu-Mg alloy was
investigated. With the increase of the scanning speed, the relative
density decreases. The hatching space influences the surface
roughness of samples. The smaller hatching space, the coarser
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the surface roughness. The microstructure is affected by the
scanning speed. The distribution of fine equiaxed grains transforms
from homogenous to bi-modal due to the increase of the scanning
speed. Al3Zr and ZrO particles serve as the nucleate during the
solidification.
Future works As that the suitable heat treatment is necessary
for the SLMed samples is proposed.
The future works may concentrate on the influence of the heat
treatment on the SLMed Zr modified Al-Cu-Mg alloy.
Acknowledgements This research is supported by the National
Natural Science Foundation of China
(61475056) and the National Program on Key Basic Research
Project of China (613281). The authors would like to thank the
Analytical and Testing Center of HUST.
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(SLM)
Process DevelopmentDepositionLow Cost, High Speed Stereovision
for Spatter Tracking in Laser Powder Bed FusionMultiple
Collaborative Printing Heads in FDM: The Issues in Process
PlanningAdditive Manufacturing with Modular Support StructuresPick
and Place Robotic Actuator for Big Area Additive Manufacturing
Extrusion3D Printed ElectronicsFiber Traction Printing--A Novel
Additive Manufacturing Process of Continuous Fiber Reinforced Metal
Matrix CompositeImmiscible-Interface Assisted Direct Metal
Drawing
ImagingIn-Situ Optical Emission Spectroscopy during SLM of 304L
Stainless SteelTool-Path Generation for Hybrid Additive
ManufacturingStructural Health Monitoring of 3D Printed
StructuresMechanical Properties of Additively Manufactured Polymer
Samples Using a Piezo Controlled Injection Molding Unit and Fused
Filament Fabrication Compared with a Conventional Injection Molding
ProcessUse of SWIR Imaging to Monitor Layer-To-Layer Part Quality
During SLM of 304L Stainless Steel
Novel MethodsDMP Monitoring as a Process Optimization Tool for
Direct Metal Printing (DMP) of Ti-6Al-4VEffects of Identical Parts
on a Common Build Plate on the Modal Analysis of SLM Created
MetalOn the Influence of Thermal Lensing During Selective Laser
MeltingDevelopment of Novel High Temperature Laser Powder Bed
Fusion System for the Processing of Crack-Susceptible AlloysTowards
High Build Rates: Combining Different Layer Thicknesses within One
Part in Selective Laser MeltingLaser Heated Electron Beam Gun
Optimization to Improve Additive ManufacturingTwo-Dimensional
Characterization of Window Contamination in Selective Laser
SinteringLaser Metal Additive Manufacturing on Graphite
Non-Metal Powder Bed FusionPredictive Iterative Learning Control
with Data-Driven Model for Optimal Laser Power in Selective Laser
SinteringRealtime Control-Oriented Modeling and Disturbance
Parameterization for Smart and Reliable Powder Bed Fusion Additive
ManufacturingMicrowave Assisted Selective Laser Melting of
Technical CeramicsResearch on Relationship between Depth of Fusion
and Process Parameters in Low-Temperature Laser Sintering
ProcessFrequency Response Inspection of Additively Manufactured
Parts for Defect IdentificationNanoparticle Bed Deposition by Slot
Die Coating for Microscale Selective Laser Sintering
Applications
Spinning/Pinning/StereolithographyFabrication of Aligned
Nanofibers along Z-Axis – A Novel 3D Electrospinning
TechniqueZ-Pinning Approach for Reducing Mechanical Anisotropy of
3D Printed PartsStructurally Intelligent 3D Layer Generation for
Active-Z PrintingmicroCLIP Ceramic High-Resolution Fabrication and
Dimensional Accuracy Requirements
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