Issue |
MATEC Web of Conferences
Volume 14, 2014
EUROSUPERALLOYS 2014 – 2nd European Symposium on Superalloys and their Applications
|
|
---|---|---|
Article Number | 09002 | |
Number of page(s) | 5 | |
Section | Session 9: Precipitation | |
DOI | https://doi.org/10.1051/matecconf/20141409002 | |
Published online | 29 August 2014 |
On the diffusion mechanisms of fine-scale γ′ in an advanced Ni-based superalloy
School of Materials, University of Manchester, Material Science Centre, Grosvenor Street, Manchester M13 9PL, UK
a Corresponding author: sarah.haigh@manchester.ac.uk
Size dependent compositional variations for the ordered L12-structure gamma prime (γ′) precipitates in the commercial Ni-based superalloy RR1000 have been investigated using scanning transmission electron microscope (STEM) imaging combined with energy-dispersive X-ray (EDX) spectroscopy. To address the problem of quantitative compositional determination for nanoscale particles within a metal matrix we have applied a novel electrochemical method to extract individual precipitates. The use of a high-efficiency EDX detector enabled compositional measurements to be obtained for particles with diameters as small as 20 nm with acquisition times of the order of a few minutes. We have studied compositional variations across the different size families of γ′ precipitates within a microstructure generated by slow cooling. Our results demonstrate the importance of kinetic factors for determining the precipitates compositions. In particular, we provide new evidence for the role of aluminium antisite atoms on the low-temperature growth kinetics of fine scale γ′ precipitates. Our findings provide valuable structural data towards improving the accuracy of predicting the microstructural evolution in Ni-based superalloys.
© Owned by the authors, published by EDP Sciences, 2014
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.