An in situ USAXS–SAXS–WAXS study of precipitate size distribution evolution in a model Ni-based alloy
Abstract
Intermetallic γ' precipitates typically strengthen nickel-based superalloys. The shape, size and spatial distribution of strengthening precipitates critically influence alloy strength, while their temporal evolution characteristics determine the high-temperature alloy stability. Combined ultra-small-, small- and wide-angle X-ray scattering (USAXS–SAXS–WAXS) analysis can be used to evaluate the temporal evolution of an alloy's precipitate size distribution (PSD) and phase structure duringin situheat treatment. Analysis of PSDs from USAXS–SAXS data employs either least-squares fitting of a preordained PSD model or a maximum entropy (MaxEnt) approach, the latter avoidinga prioridefinition of a functional form of the PSD. However, strong low-qscattering from grain boundaries and/or structure factor effects inhibit MaxEnt analysis of typical alloys. Lastly, this work describes the extension of Bayesian–MaxEnt analysis methods to data exhibiting structure factor effects and low-qpower law slopes and demonstrates their use in anin situstudy of precipitate size evolution during heat treatment of a model Ni–Al–Si alloy.
- Authors:
-
- Argonne National Lab. (ANL), Argonne, IL (United States)
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Publication Date:
- Research Org.:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Vehicle Technologies Office (EE-3V)
- OSTI Identifier:
- 1366390
- Grant/Contract Number:
- AC05-00OR22725; AC02-06CH11357
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Journal of Applied Crystallography (Online)
- Additional Journal Information:
- Journal Name: Journal of Applied Crystallography (Online); Journal Volume: 50; Journal Issue: 3; Journal ID: ISSN 1600-5767
- Publisher:
- International Union of Crystallography
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 36 MATERIALS SCIENCE; ultra-small-angle X-ray scattering; small-angle X-ray scattering; wide-angle X-ray scattering; USAXS–SAXS–WAXS; precipitation hardening; Bayesian inverse transformation
Citation Formats
Andrews, Ross N., Serio, Joseph A., Muralidharan, Govindarajan, and Ilavsky, Jan. An in situ USAXS–SAXS–WAXS study of precipitate size distribution evolution in a model Ni-based alloy. United States: N. p., 2017.
Web. doi:10.1107/S1600576717006446.
Andrews, Ross N., Serio, Joseph A., Muralidharan, Govindarajan, & Ilavsky, Jan. An in situ USAXS–SAXS–WAXS study of precipitate size distribution evolution in a model Ni-based alloy. United States. https://doi.org/10.1107/S1600576717006446
Andrews, Ross N., Serio, Joseph A., Muralidharan, Govindarajan, and Ilavsky, Jan. Tue .
"An in situ USAXS–SAXS–WAXS study of precipitate size distribution evolution in a model Ni-based alloy". United States. https://doi.org/10.1107/S1600576717006446. https://www.osti.gov/servlets/purl/1366390.
@article{osti_1366390,
title = {An in situ USAXS–SAXS–WAXS study of precipitate size distribution evolution in a model Ni-based alloy},
author = {Andrews, Ross N. and Serio, Joseph A. and Muralidharan, Govindarajan and Ilavsky, Jan},
abstractNote = {Intermetallic γ' precipitates typically strengthen nickel-based superalloys. The shape, size and spatial distribution of strengthening precipitates critically influence alloy strength, while their temporal evolution characteristics determine the high-temperature alloy stability. Combined ultra-small-, small- and wide-angle X-ray scattering (USAXS–SAXS–WAXS) analysis can be used to evaluate the temporal evolution of an alloy's precipitate size distribution (PSD) and phase structure duringin situheat treatment. Analysis of PSDs from USAXS–SAXS data employs either least-squares fitting of a preordained PSD model or a maximum entropy (MaxEnt) approach, the latter avoidinga prioridefinition of a functional form of the PSD. However, strong low-qscattering from grain boundaries and/or structure factor effects inhibit MaxEnt analysis of typical alloys. Lastly, this work describes the extension of Bayesian–MaxEnt analysis methods to data exhibiting structure factor effects and low-qpower law slopes and demonstrates their use in anin situstudy of precipitate size evolution during heat treatment of a model Ni–Al–Si alloy.},
doi = {10.1107/S1600576717006446},
journal = {Journal of Applied Crystallography (Online)},
number = 3,
volume = 50,
place = {United States},
year = {Tue May 30 00:00:00 EDT 2017},
month = {Tue May 30 00:00:00 EDT 2017}
}
Web of Science
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Works referencing / citing this record:
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