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Meeting Materials Science & Technology 2020
Symposium Additive Manufacturing of Ceramic-based Materials: Process Development, Materials, Process Optimization and Applications
Sponsorship ACerS Engineering Ceramics Division
ACerS Basic Science Division
TMS: Additive Manufacturing Committee
TMS: Computational Materials Science and Engineering Committee
Organizer(s) Lei Chen, University of Michigan-Dearborn
Xuan Song, University of Iowa
Nahum Travitzky, University of Erlangen-Nuremberg
Yiquan Wu, Alfred University
Paolo Colombo, University of Padova
Rajendra K. Bordia, Clemson University
Long-Qing Chen, Pennsylvania State University
Scope The wide-use of advanced ceramic-based materials depends on the availability of industrial processing routes to fabricate parts with required geometries. However, it is still challenging for current manufacturing methods to produce complex shaped ceramic parts with the desired microstructures and properties. Additive Manufacturing (AM) or 3D printing is a fast-growing technique for fabricating parts layer-by-layer directly from 3D digital models. AM has tremendous potential for producing high-value, complex, individually customized parts. While AM technologies for ceramics have been extensively explored in the past decade, additively shaping ceramic materials with high performance and high reliability remains challenging, due to their inherent brittleness and stringent processing requirements (feedstock and/or sintering). As more technological progress continues in the field, it can be expected that AM technologies will have an extraordinary impact on the industrial production of ceramic components and will open up new possibilities for ceramics uses and markets.

This symposium will highlight recent advances in additive manufacturing of ceramic-based materials. The topics of presentations are sought to include but not limited to:
1. Hybridized processes for ceramic-based materials based on established technologies (Sheet Lamination, Powder Bed Fusion, Directed Energy Deposition, Material Jetting, Binder Jetting, Binder Jetting, Material Extrusion), and novel approaches;
2. Computational and experimental investigations of process-microstructure-property relations, including but not limited to multiscale multi-physics computational modelling, and in-situ and ex-situ characterization of grain structures, porosity, surface roughness, structural and functional properties for AM-fabricated ceramics and ceramics composites;
3. Data-driven process optimization and quality control of AM ceramic-based components, e.g., based on surrogate models, uncertainty quantification, machine learning and deep learning technologies;
4. Novel applications of AM ceramic-based components.

Abstracts Due 05/31/2020
PRESENTATIONS APPROVED FOR THIS SYMPOSIUM INCLUDE

Additive Manufacturing of 8 mol % Yttria Stabilized Zirconia Ceramics
Direct Ink Writing of Chopped Fiber Ultra-High Temperature Ceramic Matrix Composites (UHTCMCs)
Effects of Printing Parameters on Density And Mechanical Properties of Binder Jet 3D Printed WC-Co
Effects of Printing Parameters on Microstructure and Mechanical Properties of Binder Jet 3D Printed WC-Co
Fast Fabrication of Bioceramics Parts by Combining Stereolithography and Microwave Sintering
Fused Filament Fabrication of Metal Matrix Composites (MMC)
Geometry Limitations of Indirect Laser Sintering of Alumina
Hybrid Additive Manufacturing Technology Applied to Si3N4 Freeform Components Fabrication
Initiation of Selective Laser Flash Sintering in Yttria-Stabilized Zirconia
Introductory Comments: Additive Manufacturing of Ceramic-based Materials: Process Development, Materials, Process Optimization and Applications
Laser-based Additive Manufacturing of Bi-metallic & Tri-metallic Oxide Layers
Temporary Coating for Binder Jet 3D Printed Tungsten Carbide-Cobalt Parts
Toughening of SiC-based Ceramics by Chopped Fiber via Selective Laser Sintering: Preliminary Thinking and Attempts
Ultra-fast, Selective Laser Sintering during Additive Manufacturing of Alumina
Uncertainty Quantification in Additive Manufacturing of Piezocomposites through Physics-informed Data-driven Modelling


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