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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. 1246 Solid Freeform Fabrication 2018: Proceedings of the 29th Annual International Solid Freeform Fabrication Symposium – An Additive Manufacturing Conference Reviewed Paper
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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.

    1246

    Solid Freeform Fabrication 2018: Proceedings of the 29th Annual InternationalSolid Freeform Fabrication Symposium – An Additive Manufacturing Conference

    Reviewed Paper

  • 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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    WelcomeTitle PagePrefaceOrganizing CommitteePapers to JournalsTable of ContentsBroader ImpactsUsing Additive Manufacturing as a Pathway to Change the Qualification ParadigmTechnology Integration into Existing CompaniesLattice Design Optimization: Crowdsourcing Ideas in the ClassroomEducation of Additive Manufacturing – An Attempt to Inspire ResearchPrinting Orientation and How Implicit It IsMethod for a Software-Based Design Check of Additively Manufactured ComponentsThe Recycling of E-Waste ABS Plastics by Melt Extrusion and 3D Printing Using Solar Powered Devices as a Transformative Tool for Humanitarian Aid

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    Topology OptimizationTopology Optimized Heat Transfer Using the Example of an Electronic HousingMicrostructural and Mechanical Characterization of Ti6Al4V Cellular Struts Fabricated by Electron Beam Powder Bed Fusion Additive ManufacturingEffect of Wall Thickness and Build Quality on the Compressive Properties of 304L Thin-Walled Structure Fabricated by SLMMechanical Behavior of Additively Manufactured 17-4 Ph Stainless Steel Schoen Gyroid Lattice Structure

    Lattices and CellularAn Investigation of the Fatigue Strength of Multiple Cellular Structures Fabricated by Electron Beam Powder Bed Fusion Additive Manufacturing ProcessOn the Mechanical Behavior of Additively Manufactured Asymmetric HoneycombsFabrication of Support-Less Engineered Lattice Structures via Jetting of Molten Aluminum DropletsFinite Element Modeling of Metal Lattice Using Commercial Fea PlatformsA CAD-Based Workflow and Mechanical Characterization for Additive Manufacturing of Tailored Lattice StructuresA Comparison of Modeling Methods for Predicting the Elastic-Plastic Response of Additively Manufactured Honeycomb StructuresNumerical and Experimental Study of the Effect of Artificial Porosity in a Lattice Structure Manufactured by Laser Based Powder Bed FusionSize and Topology Effects on Fracture Behavior of Cellular StructuresRheological, In Situ Printability and Cell Viability Analysis of Hydrogels for Muscle Tissue RegenerationDevelopment of a Thermoplastic Biocomposite for 3D PrintingDesign Rules for Additively Manufactured Wrist Splints Created Using Design of Experiment Methods

    Biomedical ApplicationsDesign and Additive Manufacturing of a Patient Specific Polymer Thumb Splint ConceptMandibular Repositioning Appliance following Resection Crossing the Midline- A3D Printed GuideA Sustainable Additive Approach for the Achievement of Tunable PorosityEffects of Electric Field on Selective Laser Sintering of Yttria-Stabilized Zirconia Ceramic PowderFabrication of Ceramic Parts Using a Digital Light Projection System and Tape CastingSlurry-Based Laser Sintering of Alumina CeramicsMaterial Properties of Ceramic Slurries for Applications in Additive Manufacturing Using Stereolithography

    MaterialsCeramicsAdditive Manufacturing of Alumina Components by Extrusion of In-Situ UV-Cured PastesMechanical Challenges of 3D Printing Ceramics Using Digital Light ProcessingEffect of Laser Additive Manufacturing on Microstructure Evolution of Inoculated Zr₄₅ꓸ₁Cu₄₅ꓸ₅Al5Co₂ Bulk Metallic Glass Matrix CompositesFiber-Fed Printing of Free-Form Free-Standing Glass StructuresAdditive Manufacturing of Energetic MaterialsMethods of Depositing Anti-Reflective Coatings for Additively Manufactured OpticsA Review on the Additive Manufacturing of Fiber Reinforced Polymer Matrix Composites

    Non-Traditional Non-MetalsDesign and Robotic Fabrication of 3D Printed Moulds for CompositesMechanical Property Correlation and Laser Parameter Development for the Selective Laser Sintering of Carbon Fiber Reinforced Polyetheretherketone4D Printing Method Based on the Composites with Embedded Continuous FibersFabricating Functionally Graded Materials by Ceramic On-Demand Extrusion with Dynamic Mixing

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    Direct WriteThe Mechanical Behavior of AISI H13 Hot-Work Tool Steel Processed by Selective Laser Melting under Tensile Stress

    Broad IssuesAdditive Manufacturing of Metal Functionally Graded Materials: A ReviewUnderstanding Adopting Selective Laser Melting of Metallic MaterialsThe Effect of Processing Parameter on Zirconium Modified Al-Cu-Mg Alloys Fabricated by Selective Laser MeltingSelective Laser Melting of Al6061 Alloy: Processing, Microstructure, and Mechanical PropertiesSmall-Scale Characterization of Additively Manufactured Aluminum Alloys through Depth-Sensing IndentationEffects of Process Parameters and Heat Treatment on the Microstructure and Mechanical Properties of Selective Laser Melted Inconel 718Effects of Design Parameters on Thermal History and Mechanical Behavior of Additively Manufactured 17-4 PH Stainless Steel

    AluminumThe Effects of Powder Recycling on the Mechanical Properties of Additively Manufactured 17-4 PH Stainless SteelMechanical Properties of 17-4 Ph Stainless Steel Additively Manufactured Under Ar and N₂ Shielding GasRecyclability of 304L Stainless Steel in the Selective Laser Melting ProcessThe Influence of Build Parameters on the Compressive Properties of Selective Laser Melted 304L Stainless Steel

    NickelCharacterization of Impact Toughness of 304L Stainless Steel Fabricated through Laser Powder Bed Fusion Process

    17-4PH Stainless SteelIncorporation of Automated Ball Indentation Methodology for Studying Powder Bed Fabricated 304L Stainless SteelEffect of Powder Degradation on the Fatigue Behavior of Additively Manufactured As-Built Ti-6Al-4VVolume Effects on the Fatigue Behavior of Additively Manufactured Ti-6Al-4V Parts

    304 Stainless SteelEffects of Layer Orientation on the Multiaxial Fatigue Behavior of Additively Manufactured Ti-6Al-4VAmbient-Temperature Indentation Creep of an Additively Manufactured Ti-6Al-4V AlloyIndividual and Coupled Contributions of Laser Power and Scanning Speed towards Process-Induced Porosity in Selective Laser MeltingA Comparison of Stress Corrosion Cracking Susceptibility in Additively-Manufactured and Wrought Materials forAerospace and Biomedical Applications

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    ModelingFinite Element Modeling of the Selective Laser Melting Process for Ti-6Al-4VModelling the Melt Pool of the Laser Sintered Ti6Al4V Layers with Goldak’S Double-Ellipsoidal Heat SourceA Novel Microstructure Simulation Model for Direct Energy Deposition ProcessInfluence of Grain Size and Shape on Mechanical Properties of Metal Am MaterialsExperimental Calibration of Nanoparticle Sintering SimulationSolidification Simulation of Direct Energy Deposition Process by Multi-Phase Field Method Coupled with Thermal Analysis

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    Multi/Micro-Scale ModelingNumerical Prediction of the Porosity of Parts Fabricated with Fused Deposition ModelingNumerical Modeling of the Material Deposition and Contouring Precision in Fused Deposition ModelingEffect of Environmental Variables on Ti-64 Am Simulation Results

    Advanced Thermal ModelingNon-Equilibrium Phase Field Model Using Thermodynamics Data Estimated by Machine Learning for Additive Manufacturing SolidificationMulti-Physics Modeling of Single Track Scanning in Selective Laser Melting: Powder Compaction EffectTowards an Open-Source, Preprocessing Framework for Simulating Material Deposition for a Directed Energy Deposition ProcessQuantifying Uncertainty in Laser Powder Bed Fusion Additive Manufacturing Models and Simulations

    Modeling Part PerformanceOptimization of Inert Gas Flow inside Laser Powder-Bed Fusion Chamber with Computational Fluid DynamicsAn Improved Vat Photopolymerization Cure Model Demonstrates Photobleaching EffectsNonlinear and Linearized Gray Box Models of Direct-Write Printing DynamicsInsights into Powder Flow Characterization Methods for Directed Energy Distribution Additive Manufacturing SystemsEffect of Spray-Based Printing Parameters on Cementitious Material Distribution

    Modeling InnovationsAligning Material Extrusion Direction with Mechanical Stress via 5-Axis Tool PathsFieldable Platform for Large-Scale Deposition of Concrete StructuresMicroextrusion Based 3D Printing–A Review

    ImprovementsTheory and Methodology for High-Performance Material-Extrusion Additive Manufacturing under the Guidance of Force-FlowKnowledge-Based Material Production in the Additive Manufacturing Lifecycle of Fused Deposition ModelingAcoustic Emission Technique for Online Detection of Fusion Defects for Single Tracks during Metal Laser Powder Bed FusionDevelopment of an Acoustic Process Monitoring System for the Selective Laser Melting (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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