Journal article
Understanding dislocation slip in stoichiometric rocksalt transition metal carbides and nitrides
Journal of materials science, v 52(11), pp 6235-6248
2017
Abstract
The slip systems for B1 MX compounds (M=Ti, Zr, Hf, V, Nb, Ta and X=C, N) have been studied extensively both experimentally and computationally as they influence the materials mechanical behavior at both high and low temperatures. Despite many investigations, the differences in observed slip systems, either
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or
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, in these materials remain an open question. In this paper, the factors that may determine the slip preference of these compounds have been studied based on the results from first principle calculations. The generalized stacking fault surfaces for all of the materials were computed and used to provide a more comprehensive understanding of slip plane choices. Through analysis of this data, it is found that among different indicators of slip, the normalized splitting width and the intrinsic stacking fault energy are the most useful indicators of the choice of slip planes in these materials. In addition, these indicators of slip are controlled by the structural energy differences between the B1 and tungsten carbides structures, which are correlated well with the number of valence electrons.
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Details
- Title
- Understanding dislocation slip in stoichiometric rocksalt transition metal carbides and nitrides
- Creators
- Hang Yu - Mechanical Engineering and Mechanics Department, Drexel UniversityMohammadreza Bahadori - Drexel UniversityGregory B. Thompson - University of AlabamaChristopher R. Weinberger - Drexel University
- Publication Details
- Journal of materials science, v 52(11), pp 6235-6248
- Publisher
- Springer US
- Grant note
- FA9550-15-1-0217; FA9550-15-1-0095 / Air Force Office of Scientific Research (http://dx.doi.org/10.13039/100000181)
- Resource Type
- Journal article
- Language
- English
- Web of Science ID
- WOS:000397817100009
- Scopus ID
- 2-s2.0-85011874632
- Other Identifier
- 991019350583204721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Materials Science, Multidisciplinary