About this Abstract |
| Meeting |
2026 TMS Annual Meeting & Exhibition
|
| Symposium
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Additive Manufacturing: Advanced Characterization With Synchrotron, Neutron, and In Situ Laboratory-scale Techniques IV
|
| Presentation Title |
Bayesian Calibration of Phase Fractions in Additively Manufactured Nickel Alloy 718 |
| Author(s) |
Benjamin Ward, Pranav Karve, Sankaran Mahadevan, Kyle Allen Mumm, Jiayun Shao, Tao Sun |
| On-Site Speaker (Planned) |
Benjamin Ward |
| Abstract Scope |
We use X-ray diffraction data of additively manufactured Nickel alloy 718 to perform Bayesian calibration of phase fractions using the Rietveld Method. During the Rietveld refinement, experimentally measured diffraction intensities at different angles are used as data to refine or fit the calculated diffraction spectrum by changing diffraction simulator parameters. In the Bayesian approach, the likelihood is calculated by assuming that the deviations between experimental and simulated diffraction data are normally distributed. The variance of this normal distribution is assumed to be the same as that of the Poisson distribution characterizing the results of repeated diffraction experiments. The Bayesian method provides the posterior distributions of (and hence an estimate of the uncertainty in) calibrated phase fractions. This is important for rigorous CALPHAD model validation as well uncertainty propagation in structure-to-property models for additively manufactured Nickel alloy 718. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Additive Manufacturing, Characterization, Other |