About this Abstract |
Meeting |
2024 TMS Annual Meeting & Exhibition
|
Symposium
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Additive Manufacturing: Materials Design and Alloy Development VI – Closed-Loop Alloy Design
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Presentation Title |
A Data-Driven Alloy Design Framework to Enable Location-Specific Phase Manipulation in Additively Manufactured Stainless Steels |
Author(s) |
Joseph W. Aroh, Fan Zhang |
On-Site Speaker (Planned) |
Joseph W. Aroh |
Abstract Scope |
Additive manufacturing (AM) has revolutionized materials processing with its potential for location-specific microstructural control. While previous efforts primarily focused on manipulating the growth of grains and dendrites, this work aims to extend this control to phase evolution throughout an AM build. A data-driven alloy design pipeline is proposed to achieve precise microstructural control in stainless steel solidification through location-specific phase manipulation. An innovative AM process model was developed, integrating computational thermodynamics, phase selection kinetics, and spatially dependent melt pool conditions to generate a comprehensive dataset of physical relationships between alloy composition, thermal input, and solidification pathway. Leveraging this physics-informed dataset, a neural network is trained to identify candidate alloys optimized for solidifying as distinct phases based on the local solidification conditions. The accumulated knowledge is employed to fabricate a twofold microstructure by selectively tailoring the AM parameters to control the phase pathway in each microstructural region during an AM build. |
Proceedings Inclusion? |
Planned: |
Keywords |
Additive Manufacturing, Solidification, ICME |