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Meeting 2022 TMS Annual Meeting & Exhibition
Symposium Additive Manufacturing and Innovative Powder Processing of Functional and Magnetic Materials
Presentation Title Improved Near-infrared Absorption for Additive Manufacturing Feedstock Using Reduced Graphene Oxide
Author(s) Chu Lun Alex Leung, Iuliia Elizarova, Mark Isaacs, Shashidhara Marathee, Eduardo Saiz, Peter D. Lee
On-Site Speaker (Planned) Chu Lun Alex Leung
Abstract Scope Additive Manufacturing (AM) makes components with complex geometry and unique design features, layer-by-layer. However, there are limited choices of commercial powders for AM, partly constrained by the laser absorbance, an area that is not well investigated. Carbon additives are commonly used to promote near infra-red (NIR) absorbance of the powders but their efficiency is low. Here, we combine synchrotron X-ray imaging with chemical characterisation techniques to explain the role of additives on NIR absorption, evolution mechanisms of melt track and defects during AM. We employ a reduced graphene oxide (rGO) additive that enables AM of low NIR absorbance powders, e.g. fused silica. The rGO increases the powder’s NIR absorbance 3 times greater than conventional carbon additives and enables printing of SiO2. This study reports a method to widen the palette of materials for laser based AM machines to process all classes of materials, unlocking their true potential.
Proceedings Inclusion? Planned:
Keywords Additive Manufacturing, Ceramics, Powder Materials

OTHER PAPERS PLANNED FOR THIS SYMPOSIUM

Additive Manufacturing as a Hybrid Synthesis-joining Method to Optimize Magnetic and Mechanical Properties of Dissimlar Alloys
Additive Manufacturing of a Composite Made of Al 5083 Matrix and Encapsulated ZnAl Particles
Additive Manufacturing of Electrical Steels: Opportunities to Link Microstructure and Design
Additively Manufactured Nitinol for Prescribed Properties and Prediction of Its Bulk Elastic Properties by Molecular Dynamic Simulation
Controlled Shape-morphing Metallic Components for Deployable Structures
Deep Learning with Generative Adversarial Network for Ti-6Al-4V Surface Roughness Improvement in Direct Energy Deposition Process
Growth Optimization of Single Crystal Fibers of Congruently and Incongruently Melting Garnets via Laser Heated Pedestal Growth Method
Improved Near-infrared Absorption for Additive Manufacturing Feedstock Using Reduced Graphene Oxide
Influence of Composition and Microstructure on Magnetic Properties of Additively Manufactured Fe/Co/Ni Based Soft Magnetic Alloys
Iron Nitride Based Soft Magnets through Spark Plasma Sintering
J-1: Development of NiTiMo Alloys Using Powder Blown Laser Direct Energy Deposition Additive Manufacturing
Laser Additive Manufacturing of Fe-Co and Fe-Si Based Soft Magnetic Alloys
Mapping the Selective Laser Melting Parameter-thermophysical Property Space of a Ni51.2Ti Alloy Using a Combined Experimental and Computational Approach
Mechanical Alloying and Characterization of Al2Ni5Co6Fe6Sm0.2 High-entropy Alloy
Microstructure of Additively Manufactured Magnetic Shape Memory Alloys
Modeling Alignment of Magnetic Particles in Functionalized Magnetic 3D Printer
NOW ON-DEMAND ONLY - X-ray and Neutron Scattering Reveals Insights into the Formation and Thermal Stability of Metastable Disordered Phases in FeCo and FeSi
Process-structure-property Relationships in Laser Powder Bed Fusion of Permanent Magnetic Nd-Fe-B
Reduction of Power Losses in SLM Printed FeSi6.5 Alloy by Geometry Optimizing
Selective Laser Melting of NiTi: Experiments and Modeling to Correlate Hatch Spacing, Texture, Residual Stress, and Superelastic Response
Selective Laser Melting of NiZnCu-ferrite Soft Magnetic Composites: Process-property Relationships
Structure-processing-magnetic Property Interrelationships in Additively Manufactured FeCo-2V and Fe-80Ni-5Mo Soft Magnetic Alloys
The Development of a Machine Learning Guided Process for the Additive Manufacturing of Thermoelectric Materials

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