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Meeting 2023 TMS Annual Meeting & Exhibition
Symposium Accelerated Discovery and Insertion of Next Generation Structural Materials
Presentation Title Accelerated Discovery of Novel Titanium Alloys using High-throughput Manufacturing, Characterization and Testing
Author(s) Dian Li, Sydney Fields, Yufeng Zheng
On-Site Speaker (Planned) Yufeng Zheng
Abstract Scope Due to the combination of great properties, such as high strength, low density and excellent corrosion resistance, titanium alloys have become a good candidate for structural materials in aerospace, chemical and bio-medical industries. However, the relatively high manufacturing cost still limits the wide application of titanium alloys. Thus, it still requires significant effort in designing novel low-cost titanium alloys with great performance. In this work, the inter-relationship between composition, microstructure and properties in Ti-X (X=Mo or Fe) alloys were rapidly mapping using the high-throughput combinatorial methods. The compositionally graded sample manufactured using different techniques were firstly studied using SEM EDS. Nanostructures including omega phase, O’ phase and incommensurate domains were characterized using diffraction contrast TEM. The properties, such as hardness and modulus, for different compositions were evaluated using high-throughput nanoindentation technique. This work is supported by the National Science Foundation, grant CMMI-2122272 and DMR-2145844.
Proceedings Inclusion? Planned:
Keywords Titanium, Phase Transformations, Characterization

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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