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Meeting 2024 TMS Annual Meeting & Exhibition
Symposium Agile Additive Manufacturing by Employing Breakthrough Functionalities II
Organizer(s) Soumya Nag, Oak Ridge National Laboratory
John S. Carpenter, Los Alamos National Laboratory
Peeyush Nandwana, Oak Ridge National Laboratory
Lang Yuan, University of South Carolina
Alex Kitt, EWI
Scope Additive manufacturing is a fast-developing eco-friendly fabrication pathway that allows engineers to design a single part rather than multiple individual parts, reducing the procedures of joining or assembly compared to the traditional manufacturing methods. AM also provides a tremendous opportunity to synergistically couple materials, design and manufacturing strategies, where one can strive towards fabricating parts with targeted site-specific properties. For example, a combinatorial approach for zone-based hybrid microstructural evolution may be achieved by employing multi-material alloying and multi-modal manufacturing strategies. Other examples include overcoming mismatches in thermal expansion coefficients, controlling residual stress and/or achieving desirable microstructure in heat treated multi-material builds.

The purpose of this symposium is to present the latest developments that explore and possibly integrate the following breakthrough AM functionalities:
• Functionally Graded Materials: use of multi-material builds via sequential or simultaneous injection of raw materials, or single material with dramatically different process conditions for tailored hybrid microstructures
• Metamaterials: topological and/or shape optimization to exploit light-weighting and enhanced property response
• Multimodal Manufacturing: integrating additive and/or conventional manufacturing techniques to achieve the right balance among materials properties, part resolution and build efficiency
The call encompasses all AM modalities, such as the Laser or E-Beam based PBF and DED processes. Studies on processing-structure-property assessments of structural and functional materials by coupling multiscale experimental and modeling strategies are encouraged.

Abstracts Due 07/01/2023
Proceedings Plan Planned: TMS Journal: JOM
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