About this Abstract |
Meeting |
2024 TMS Annual Meeting & Exhibition
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Symposium
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Additive Manufacturing: Advanced Characterization with Synchrotron, Neutron, and In Situ Laboratory-scale Techniques III
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Presentation Title |
Novel Photometrics Toolbox to Quantify Performance of Versatile X-ray Microscopes |
Author(s) |
Zane W. Taylor, Sen Liu, Lichao Fang, Christopher Tassone, Leora Dresselhaus-Marais |
On-Site Speaker (Planned) |
Zane W. Taylor |
Abstract Scope |
In-situ radiography has enabled breakthroughs in laser powder bed fusion LPBF, connecting process optimization to properties. Radiography has enabled insights into the fundamental science driving the complex and competing phenomena in melt pools and rapid solidification, but other X-ray microscopy techniques are more limited in the field. As X-ray imaging techniques and sources are able to measure more detailed information about materials, it is useful to have a unified resource to quantify the performance of different imaging techniques, parameters, and material selections to facilitate their entry into LPBF. I developed a fast Python package that quantifies signal, contrast, resolution, and other parameters necessary to simulate and optimize imaging techniques on different X-ray sources to compare performance between systems during experimental design. Comparison and validation in the context of recent radiography and microscopy experiments will be discussed. |
Proceedings Inclusion? |
Planned: |
Keywords |
Additive Manufacturing, Characterization, Machine Learning |