Distinct driven steady states emerge from diverse initial textures in rolled nanocomposites
Abstract
Severe plastic deformation is a known method of making high-performance metallic materials. Single-phase polycrystalline metals undergoing severe plastic deformation develop steady-state textures that are characteristic of the mode of deformation. By contrast, we show that two-phase, Cu-Nb nano-laminate composites reach a variety of different steady-state textures under a single mode of deformation. Using molecular statics simulations and a novel algorithm for crystal rotation analysis, we observe that the final, steady state texture and interface character in these materials depends on the initial texture of the composite. This result suggests that the range of bulk Cu-Nb nano-composite textures that may be made by severe plastic deformation is larger than previously demonstrated, with multiple plastically-driven steady states accessible, depending on initial texture. We propose a modification of accumulative roll bonding with highly textured seed layers as a means of accessing different driven steady states in layered composites.
- Authors:
-
- Carnegie Mellon Univ., Pittsburgh, PA (United States)
- Texas A & M Univ., College Station, TX (United States)
- Publication Date:
- Research Org.:
- Texas A & M Univ., College Station, TX (United States)
- Sponsoring Org.:
- USDOE National Nuclear Security Administration (NNSA); National Science Foundation (NSF)
- OSTI Identifier:
- 1630908
- Alternate Identifier(s):
- OSTI ID: 1577876
- Grant/Contract Number:
- NA0003857; GFRP-1252522; DMR-1710186
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Acta Materialia
- Additional Journal Information:
- Journal Volume: 183; Journal Issue: C; Journal ID: ISSN 1359-6454
- Publisher:
- Elsevier
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 36 MATERIALS SCIENCE; Nanocomposites; Interfaces; Severe plastic deformation; Rolling; Molecular dynamics
Citation Formats
Chesser, Ian, Holm, Elizabeth A., and Demkowicz, Michael J. Distinct driven steady states emerge from diverse initial textures in rolled nanocomposites. United States: N. p., 2019.
Web. doi:10.1016/j.actamat.2019.10.058.
Chesser, Ian, Holm, Elizabeth A., & Demkowicz, Michael J. Distinct driven steady states emerge from diverse initial textures in rolled nanocomposites. United States. https://doi.org/10.1016/j.actamat.2019.10.058
Chesser, Ian, Holm, Elizabeth A., and Demkowicz, Michael J. Mon .
"Distinct driven steady states emerge from diverse initial textures in rolled nanocomposites". United States. https://doi.org/10.1016/j.actamat.2019.10.058. https://www.osti.gov/servlets/purl/1630908.
@article{osti_1630908,
title = {Distinct driven steady states emerge from diverse initial textures in rolled nanocomposites},
author = {Chesser, Ian and Holm, Elizabeth A. and Demkowicz, Michael J.},
abstractNote = {Severe plastic deformation is a known method of making high-performance metallic materials. Single-phase polycrystalline metals undergoing severe plastic deformation develop steady-state textures that are characteristic of the mode of deformation. By contrast, we show that two-phase, Cu-Nb nano-laminate composites reach a variety of different steady-state textures under a single mode of deformation. Using molecular statics simulations and a novel algorithm for crystal rotation analysis, we observe that the final, steady state texture and interface character in these materials depends on the initial texture of the composite. This result suggests that the range of bulk Cu-Nb nano-composite textures that may be made by severe plastic deformation is larger than previously demonstrated, with multiple plastically-driven steady states accessible, depending on initial texture. We propose a modification of accumulative roll bonding with highly textured seed layers as a means of accessing different driven steady states in layered composites.},
doi = {10.1016/j.actamat.2019.10.058},
journal = {Acta Materialia},
number = C,
volume = 183,
place = {United States},
year = {2019},
month = {11}
}
Web of Science
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