About this Abstract |
Meeting |
MS&T22: Materials Science & Technology
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Symposium
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2022 Undergraduate Student Poster Contest
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Presentation Title |
A Novel High-energy X-ray Diffraction Microscopy (HEDM) Processing Algorithm for Reconstructing Large 3D Intragranular Orientation Gradients
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Author(s) |
Meddelin Setiawan, Katherine Shanks, Allison Beese, Darren Pagan |
On-Site Speaker (Planned) |
Meddelin Setiawan |
Abstract Scope |
Additively manufactured engineering alloys are often highly deformed in the as-built state, containing complex microstructures and large intragranular orientation gradients that are a challenge to quantify with existing 3D characterization techniques. An existing algorithm to process high-energy X-ray diffraction microscopy (HEDM) data has previously been shown to be able to reconstruct orientation gradients within polycrystals. However, the method has only been demonstrated on model, lightly worked specimens with small orientation distributions. To improve HEDM’s readiness as a non-destructive and robust characterization tool, a new algorithm has been developed to extend the reconstruction method to large intragranular orientation distributions. The method is demonstrated by reconstructing a functionally graded Ti-6Al-4V to V specimen that is representative of complex additively manufactured engineering alloys. |