Journal article
A model for understanding the formation energies of nanolamellar phases in transition metal carbides and nitrides
Modelling and simulation in materials science and engineering, v 24(5), pp 55004-55025
06 May 2016
Abstract
In this paper we introduce a stacking-fault based model to understand the energetics of formation of the nanolamellar-based metal carbide and nitride structures. The model is able to reproduce the cohesive energies of the stacking fault phases from density functional theory calculations by fitting the energy of different stacking sequences of metal layers. The model demonstrates that the first and second nearest metal-metal neighbor interactions and the nearest metal-carbon/nitrogen interaction are the dominant terms in determining the cohesive energy of these structures. The model further demonstrates that above a metal to non-metal ratio of 75%, there is no energetic favorability for the stacking faults to form a long-range ordered structure. The model's applicability is demonstrated using the Ta-C system as its case study from which we report that the interfacial energy between ζ-Ta4C3 and TaC or Ta2C is negligible. Our results suggest that the closed packed planes of these phases should be aligned and that precipitated phases should be thin, which is in agreement with experiments.
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Details
- Title
- A model for understanding the formation energies of nanolamellar phases in transition metal carbides and nitrides
- Creators
- Hang Yu - Drexel University Mechanical Engineering and Mechanics Department, 3141 Chestnut, Philadelphia PA 19104, USAMatthew Guziewski - Drexel UniversityGregory B Thompson - University of AlabamaChristopher R Weinberger - Drexel University
- Publication Details
- Modelling and simulation in materials science and engineering, v 24(5), pp 55004-55025
- Publisher
- IOP Publishing
- Number of pages
- 22
- 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:000378289000004
- Scopus ID
- 2-s2.0-84976415494
- Other Identifier
- 991019350583304721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Materials Science, Multidisciplinary
- Physics, Applied