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Meeting 2023 TMS Annual Meeting & Exhibition
Symposium Accelerated Discovery and Insertion of Next Generation Structural Materials
Presentation Title Rapid Characterisation of Active Slip Systems in Titanium Ordered-bcc Compounds using an Algorithm for Automated Indentation Slip Trace Analysis.
Author(s) Vincent Gagneur, Alexander J Knowles
On-Site Speaker (Planned) Vincent Gagneur
Abstract Scope Increasing the operating temperature of aerospace gas turbines is a key means to improve their fuel efficiency, which is currently limited by the capability of materials employed. Our work focusses on new beta-titanium ‘bcc-superalloys’, harnessing the high melting points of Mo and Nb, paired with the low-density of Ti. Inspired by widely used Nickel superalloys, these bcc-superalloys exploit a combination of a β matrix with ordered-bcc β’ precipitates. However, many bcc-superalloy systems are too brittle for commercial applications, with one reason being the absence of slip transfer between the bcc Ti matrix and the ordered-bcc TiFe precipitates, due partly to different slip directions being favoured, [111] vs [100] respectively. In this work, attempts to modify the favoured slip direction in TiFe through alloying are presented. Various B2 bulk compositions & gradient samples are characterised using micro-indentation slip trace analysis assisted by a novel high-throughput automated slip trace detection algorithm.
Proceedings Inclusion? Planned:
Keywords Nanotechnology, Titanium, High-Temperature Materials

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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