About this Abstract |
| Meeting |
2026 TMS Annual Meeting & Exhibition
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| Symposium
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Novel Strategies for Rapid Acquisition and Processing of Large Datasets From Advanced Characterization Techniques
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| Presentation Title |
High-Throughput Processing and Accelerated Characterization of Cu–Ti Alloy |
| Author(s) |
Rohit Berlia, Piyush Wanchoo, Harrison Park, Alexander deJong, Rayna Mehta, Todd Hufnagel, K.T. Ramesh, Timothy P Weihs |
| On-Site Speaker (Planned) |
Rohit Berlia |
| Abstract Scope |
In this study, we investigate the effect of precipitate size and volume fraction on the spall strength in Cu-based alloy as a model system. Utilizing a combinatorial approach, we fabricated free-standing, 200 µm thick Cu-Ti alloy foils with compositions spanning from Cu-1 at% Ti to Cu-4 at% Ti. These alloys were homogenized above solvus temperatures, followed by aging to achieve a diverse range of Cu₄Ti precipitate sizes and volume fractions. To rapidly assess the impact of microstructural variations on spall strength, robotically controlled laser shock and transmission X-ray diffraction methods were utilized. This enables spatially resolved, automated measurements across composition and microstructural gradients in localized regions, significantly accelerating data acquisition in a combinatorial framework. XRD offers phase identification and precipitate evolution insights, whereas laser shock experiments provide spall strength measurements under high strain-rate conditions collected from the same measurement sites. Electron microscopy further reveals grain size, precipitate morphology. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Mechanical Properties, Characterization, Copper / Nickel / Cobalt |