| Issue |
MATEC Web of Conferences
Volume 14, 2014
EUROSUPERALLOYS 2014 – 2nd European Symposium on Superalloys and their Applications
|
|
|---|---|---|
| Article Number | 17007 | |
| Number of page(s) | 6 | |
| Section | Posters: Alloy Development I: Ni Based Alloys | |
| DOI | https://doi.org/10.1051/matecconf/20141417007 | |
| Published online | 08 October 2014 | |
Computational design of model Re/Ru bearing Ni-base superalloys
1 Department of Materials Engineering, Indian Institute of Science, Bangalore 560012, India
2 School of Metallurgy and Materials, University of Birmingham, Edgbaston, UK
3 Defence Metallurgical Research Laboratory, Kanchanbagh, Hyderabad 500058, India
a Corresponding author: karthik@materials.iisc.ernet.in
It is well established that Re and Ru additions to Ni-base superalloys result in improved creep performance and phase stability. However, the role of Re and Ru and their synergetic effects are not well understood, and the first step in understanding these effects is to design alloys with controlled microstructural parameters. A computational approach was undertaken in the present work for designing model alloys with varying levels of Re and Ru. Thermodynamic and first principles calculations were employed complimentarily to design a set of alloys with varying Re and Ru levels, but which were constrained by constant microstructural parameters, i.e., phase fractions and lattice misfit across the alloys. Three ternary/quaternary alloys of type Ni-Al-xRe-yRu were thus designed. These compositions were subsequently cast, homogenized and aged. Experimental results suggest that while the measured volume fraction matches the predicted value in the Ru containing alloy, volume fraction is significantly higher than the designed value in the Re containing alloys. This is possibly due to errors in the thermodynamic database used to predict phase fraction and composition. These errors are also reflected in the mismatch between predicted and measured values of misfit.
© 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.