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Meeting 2023 TMS Annual Meeting & Exhibition
Symposium Accelerated Discovery and Insertion of Next Generation Structural Materials
Presentation Title Design of a Compact Morphology Cobalt-based Superalloy for Additive Manufacturing
Author(s) Krista Biggs, Brandon Snow, Benjamin Graybill, Christopher Kiehl, Gregory Olson
On-Site Speaker (Planned) Krista Biggs
Abstract Scope There is significant potential for the use of additively manufactured cobalt-based superalloys in turbine engine blades because they are capable of higher operating temperatures than their nickel-based counterparts. We have designed a novel cobalt-based superalloy to operate at 900 ⁰C (approximately 200 ⁰C hotter than printable nickel-based superalloys), inspired by Cozar and Pineau’s nickel-based compact morphology alloy. The design incorporates multiple reinforcement phases for improved printability and resistance to coarsening compared to traditional γ-γ’ microstructures. The structural and elastic considerations for selecting appropriate phases are discussed, considering the shear field which surrounds a precipitating γ’ particle due to its lattice mismatch with the matrix phase. Additionally, the relative phase fractions of the reinforcements are tuned using finite element analysis to minimize the strain energy of the system resulting from the precipitates’ formation. The design’s prototype and the kinetics of forming its resulting microstructure are then assessed.
Proceedings Inclusion? Planned:
Keywords Additive Manufacturing, Computational Materials Science & Engineering, Copper / Nickel / Cobalt

OTHER PAPERS PLANNED FOR THIS SYMPOSIUM

A Design Space for Tunable Ceramic-polymer Composites
A Diffusion Couple Approach to β-Ti Alloy Development: Evaluating the Oxidation Performance of Ti-Fe-X+ Alloys
A High-throughput Setup for Materials Exposure to Simultaneous Irradiation-corrosion Conditions
Accelerated Discovery of Novel Titanium Alloys using High-throughput Manufacturing, Characterization and Testing
Accelerating Multimodal Data Collection: A Workflow for Metallic Films
AI and Machine Learning Tools for Development and Analysis of Image Driven 2D Materials
Combinatorial Mechanical Microscopy via Correlated Nanoindentation and EDX Mapping
Computational Design of an Ultra-strong High-entropy Alloy
Computational Design of High Entropy Alloy Hardmetals
Design of a Compact Morphology Cobalt-based Superalloy for Additive Manufacturing
Efficient Conductivity and Hardness Optimization in Cu-Ag-Ni Alloys using Bayesian Active Learning
High-throughput Electric-Field-assisted Sintering and Characterization Techniques for Materials Discovery
High-throughput Prediction of Fracture and Brittle to Ductile Transition in Tungsten using Variable Temperature Nanoindentation
High-throughput Synthesis and Mechanical Characterization of Sputtered Metallic Alloys
How Should You Select an Algorithm for a Materials Discovery Campaign with Multiple Objectives, Complex and High-dimensional Structure-processing-property Relationships, and a Small Adaptive Design Budget?
Machine Learning-assisted Discovery of Novel High Temperature Ni-rich NiTiHfZr Multi-component Shape Memory Alloys
Rapid Characterisation of Active Slip Systems in Titanium Ordered-bcc Compounds using an Algorithm for Automated Indentation Slip Trace Analysis.
Using Machine Intuitive Learning to Predict Advanced Steel Properties

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