About this Abstract |
| Meeting |
MS&T25: Materials Science & Technology
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| Symposium
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Additive Manufacturing Modeling, Simulation, and Machine Learning: Microstructure, Mechanics, and Process
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| Presentation Title |
Modelling the Effects of Composition Variation and Heat Treatment on Microstructure of TiAl6V4 Produced Via Laser Powder Bed Fusion
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| Author(s) |
Sierra R. Green, Hasan Jame, S. Mohadeseh Taheri-Mousavi, Anthony D Rollett, Bryan Webler |
| On-Site Speaker (Planned) |
Sierra R. Green |
| Abstract Scope |
As laser powder bed fusion (PBF-LB) gains popularity as a manufacturing technique, property and microstructure modelling becomes valuable for quality control. While composition specifications exist for commonly manufactured alloys such as TiAl6V4, results show that higher oxygen content (within the ASTM standard limits) increases ultimate tensile strength in PBF-LB TiAl6V4. This research studies the effect of oxygen, aluminum, iron, vanadium, and hydrogen on martensite decomposition during post-processing and adapts a pre-existing microstructure model to PBF-LB conditions. Further, properties are modelled via a yield strength prediction model. This model indicates that solid-solution strengthening due to increased 𝛼-stabilizer content is the primary contribution to the observed increase in strength. Experimental and computational results show increasing 𝛼-volume fraction and lath thickness with increased β-stabilizer content after heat treatment, likely as an increase in β-stabilizers allows V to more quickly diffuse to the grain boundaries to nucleate the β-phase, allowing martensite tempering to progress.
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