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Strengthening mechanism of ω-Zr
- Source :
- Computational Materials Science. 135:134-140
- Publication Year :
- 2017
- Publisher :
- Elsevier BV, 2017.
-
Abstract
- The ω-zirconium (ω-Zr) is generally considered as the favorable strengthening phase in the application of Zr and its alloys. However, the intrinsic mechanism is still unclear. In this study, the elastic constants and anisotropic ideal shear strengths of ω-Zr and the common α-Zr phase are systematically studied by the first-principle calculations. Results reveal that the shear modulus of ω-Zr is 1.37 times that of α-Zr. The lowest shear strength of ω-Zr is 3.25 GPa along ( 1 0 1 ¯ 0 ) [ 0 0 0 1 ] , which is about 1.6 times the weakest shear strength (2.01 GPa) of α-Zr along ( 1 0 1 ¯ 0 ) [ 1 ¯ 2 1 ¯ 0 ] . In addition to the high strength, the critical strain of ω-Zr is 0.173, much larger than that (0.072) of α-Zr. The electron localization function (ELF) result shows that there are more electrons highly localized in ω-Zr than in α-Zr along their weakest shear directions, indicating the stronger metallic bonds of ω-Zr as the origin of the high shear strength and strain. In addition, based on the von Mises criteria, the dominating deformation mode for the polycrystalline material of ω-Zr is proposed along the { 1 0 1 ¯ 0 } 〈 0 0 0 1 〉 / { 1 0 1 ¯ 1 ¯ } 〈 1 ¯ 2 1 ¯ 0 〉 or { 1 1 2 ¯ 0 } 〈 0 0 0 1 〉 / { 1 0 1 ¯ 1 ¯ } 〈 1 ¯ 2 1 ¯ 0 slips, which is helpful to the understanding of deformation behavior in polycrystalline ω-Zr.
- Subjects :
- Materials science
General Computer Science
Condensed matter physics
General Physics and Astronomy
02 engineering and technology
General Chemistry
021001 nanoscience & nanotechnology
01 natural sciences
Electron localization function
Shear modulus
Computational Mathematics
Deformation mechanism
Shear (geology)
Mechanics of Materials
0103 physical sciences
von Mises yield criterion
General Materials Science
Crystallite
010306 general physics
0210 nano-technology
Anisotropy
Metallic bonding
Subjects
Details
- ISSN :
- 09270256
- Volume :
- 135
- Database :
- OpenAIRE
- Journal :
- Computational Materials Science
- Accession number :
- edsair.doi...........688309ae79059255916717a326a0cb3f
- Full Text :
- https://doi.org/10.1016/j.commatsci.2017.04.012