Vo, N. Q. ; Schäfer, J. ; Averback, R. S. ; Albe, K. ; Askenazy, Y. ; Bellon, P. (2011)
Reaching theoretical strengths in nanocrystalline Cu by grain boundary doping.
In: Scripta Materialia, 65 (8)
doi: 10.1016/j.scriptamat.2011.06.048
Article, Bibliographie
Abstract
The yield strength of dilute nc-Cu alloys was investigated using molecular dynamics simulations. Alloying additions that lower grain boundary energy were found to dramatically increase the yield strength of the alloy, with dilute Cu–Nb alloys approaching the theoretical strength of Cu. These findings suggest a new scaling behavior for the onset of plasticity in nanocrystalline materials, one that depends on the product of the specific grain boundary energy and molar fraction of grain boundary atoms, and not simply on grain size alone.
Item Type: | Article |
---|---|
Erschienen: | 2011 |
Creators: | Vo, N. Q. ; Schäfer, J. ; Averback, R. S. ; Albe, K. ; Askenazy, Y. ; Bellon, P. |
Type of entry: | Bibliographie |
Title: | Reaching theoretical strengths in nanocrystalline Cu by grain boundary doping |
Language: | English |
Date: | October 2011 |
Publisher: | Elsevier Science Publishing Company |
Journal or Publication Title: | Scripta Materialia |
Volume of the journal: | 65 |
Issue Number: | 8 |
DOI: | 10.1016/j.scriptamat.2011.06.048 |
URL / URN: | http://www.sciencedirect.com/science/article/pii/S1359646211... |
Abstract: | The yield strength of dilute nc-Cu alloys was investigated using molecular dynamics simulations. Alloying additions that lower grain boundary energy were found to dramatically increase the yield strength of the alloy, with dilute Cu–Nb alloys approaching the theoretical strength of Cu. These findings suggest a new scaling behavior for the onset of plasticity in nanocrystalline materials, one that depends on the product of the specific grain boundary energy and molar fraction of grain boundary atoms, and not simply on grain size alone. |
Uncontrolled Keywords: | Yield strength, Nanocrystalline alloy, Molecular dynamics, Hall–Petch, Copper |
Divisions: | 11 Department of Materials and Earth Sciences > Material Science > Materials Modelling 11 Department of Materials and Earth Sciences > Material Science 11 Department of Materials and Earth Sciences |
Date Deposited: | 22 Feb 2012 10:58 |
Last Modified: | 05 Mar 2013 09:58 |
PPN: | |
Funders: | This work was supported by the US Department of Energy, Basic Energy Sciences under grant DEFG02–05ER46217 and Deutsche Forschungsgemeinschaft (FOR714)., The authors gratefully acknowledge the use of the Turing cluster maintained and operated by the Computational Science and Engineering Program at the University of Illinois. Turing is a 1536-processor Apple G5 X-serve cluster devoted to high performance, computing in engineering and science. Grants of computer time from Forschungszentrum Jülich and HHLR at TU Darmstadt and FZ Jülich are also acknowledged., J.S. is grateful for the support of his visiting stay at UIUC by DAAD. |
Export: | |
Suche nach Titel in: | TUfind oder in Google |
Send an inquiry |
Options (only for editors)
Show editorial Details |