Abstract
Orientation relationships of grains in tricrystals are discussed. Disorientation angles among grains are evaluated and a constrained condition of these around a triple junction is shown. Probability densities of the disorientation angles are obtained for randomly oriented grains by numerical calculations. A disorientation-angle diagram for tricrystal is proposed to characterize the orientation relationships of grains around the triple junctions.
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References
Mackenzie JK, Thomson MJ (1957) Some statistics associated with the random disorientation of cubes. Biometrika 44:205–210
Mackenzie JK (1958) Second paper on statistics associated with the random disorientation of cubes. Biometrika 45:229–240
Handscomb DC (1958) On the random disorientation of two cubes. Can J Mat 10:85–88
Field DP, Sanchez JE, Besser PR, Dingley DJ (1997) Analysis of grain-boundary structure in Al-Cu interconnects. J Appl Phys 82:2383–2392
West DA, Adams BL (1997) Analysis of orientation clustering in a directionally solidified nickel-based ingot. Metall Mater Trans A 28:229–236
Randle V, Davies H, Cross I (2001) Grain boundary misorientation distributions. Curr Opin Solid State Mater Sci 5:3–8
Humphreys FJ (2001) Review: grain and subgrain characterisation by electron backscatter diffraction. J Mat Sci 36:3833–3854
Randle V (1994) Grain assemblage in polycrystals. Acta Metall Mat 42:1769–1784
King AH (2010) Triple lines in materials science and engineering. Scripta Mater 62:889–893
Okada T, Onaka S, Hashimoto S, Miura S (1989) Suppression of grain-boundary sliding by a boundary node in Cu-9at.%Al tricrystals. Scripta Metall 23:49–54
Onaka S, Tajima F, Hashimoto S, Miura S (1995) Retardation of intergranular fracture at intermediate temperatures by a boundary node in a Cu-9at.%Al alloy tricrystal. Acta Metall Mater 43:307–311
Okada T, Hisazawa H, Iwasaki A, Amimoto S, Miyaji J, Shisawa S, Ueki T (2019) Grain-boundary sliding and its accommodation at triple junctions in aluminum and copper tricrystals. Mater Trans 60:86–92
Okada T, Hisazawa H, Iwasaki A, Kawaguchi K, Morimoto H, Nakano K, Ueki T, Tomita T (2021) Creep fracture of aluminum and copper tricrystals having < 110 >-Tilt Σ 3, 3, 9 grain boundaries. Mater Trans 62:239–245
Frary M, Schuh CA (2003) Combination rule for deviant CSL Grain boundaries at triple junctions. Acta Mater 51:3731–3743
Priester L (2013) Grain Boundaries, From Theory to Engineering. Springer Series in Materials Science 172, ISBN 978–94–007–4969–6 (eBook) 398–402
Onaka S (2020) Arrangements of three to six cubes with maximum disorientation angles. Phil Mag 86:1703–1715
Frary M, Schuh CA (2004) Percolation and statistical properties of low- and high-angle interface networks in polycrystalline ensembles. Phys Rev B 69:134115
Morawiec A (2004) Orientations and rotations. Springer, New York
Hayashi K, Osada M, Kurosu Y, Onaka S (2016) Log Angles: characteristic angles of crystal orientation given by the logarithm of rotation matrix. Mater Trans 57:507–512
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This work was supported by JSPS KAKENHI Grant Number 19K04985.
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Appendix
Appendix
A grain orientation can be describe by using a rotation matrix \({\varvec{T}}\) with respect to a reference coordinate system. This \({\varvec{T}}\) is a 3 × 3 orthogonal matrix whose determinant is 1. Any orientation is expressed by a product of appropriate three rotation matrices which cause rotations around the coordinate axes. Three rotation angles around the coordinate axes are called the Euler angles. The rotation matrix \({\varvec{T}}\) with the three the Euler angles \(0\le {\theta }_{\text{e}}\le \pi\), \(0\le {\phi }_{\text{e}}<2\pi\) and \(0\le {\psi }_{\text{e}}<2\pi\) given by the following equation is an example of the rotation matrix giving any orientation:
Describing the Euler angles \({\theta }_{\text{e}}\), \({\phi }_{\text{e}}\) and \({\psi }_{\text{e}}\) as a function of random numbers appropriately, we can obtain \({\varvec{T}}\) giving random orientations. When \({M}_{i}\left(i=\mathrm{1,2} or 3\right)\) are random numbers in the range of 0 to 1 with uniform distribution over that range, Eq. (11) with the Euler angles given by
and
can generate three dimensionally random orientations with uniform distribution. Note that \({\theta }_{\text{e}}\) is not proportional to \({M}_{1}\). The reason is that the probability density \(\rho \left({\theta }_{\text{e}}\right)\) of \({\theta }_{\text{e}}\) to generate the random orientations is proportional to \(\mathrm{sin}{\theta }_{\text{e}}\) [18]. The inverse cosine function in the right-hand-side of Eq. (12a) comes from \(d\mathrm{sin}{\theta }_{\text{e}}/d{\theta }_{\mathrm{e}}=\mathrm{cos}{\theta }_{\mathrm{e}}\).
To obtain the disorientation angle \(\theta\) between cubic grains, it is necessary to include the crystal symmetry. Here, we explain the procedure by considering two cubic Grains 1 and 2. When orientations of Grains 1 and 2 are given by the rotation matrices \({{\varvec{T}}}_{1}\) and \({{\varvec{T}}}_{2}\) with respect to a reference coordinate system, respectively, the rotation matrix \({{\varvec{R}}}_{12}\) from Grains 1 to 2 described by using the frame of Grain 1 is written as [19]
where \({{\varvec{T}}}_{1}^{\mathrm{T}}\) is the transpose of \({{\varvec{T}}}_{1}\). The cubic structure is invariant under 24 proper symmetrical rotations and these are (a) identity element or no rotation, (b) rotations of \(90^\circ\), \(180^\circ\) or \(270^\circ\) about the three < 100 > axes, (c) rotations of \(180^\circ\) about the six < 110 > axes and (d) rotations of \(120^\circ\) or \(240^\circ\) about the four < 111 > axes [2]. Writing \({{\varvec{S}}}_{\text{i}}\) (i = 1, 2, …, 24) as the matrix representations of these symmetrical rotations, the disorientation angle \({\theta }_{12}\) between Grains 1 and 2 is w
where \({\text{Tr}}\left({{\varvec{R}}}_{12}\boldsymbol{ }{{\varvec{S}}}_{\text{i}}\right)\) is the trace of the matrix \({{\varvec{R}}}_{12}\boldsymbol{ }{{\varvec{S}}}_{\text{i}}\).
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Yoshimasu, F., Miyazawa, N., Nakada, N. et al. Probability densities of disorientation angles among randomly oriented grains in tricrystals. J Mater Sci 57, 3010–3017 (2022). https://doi.org/10.1007/s10853-021-06729-w
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DOI: https://doi.org/10.1007/s10853-021-06729-w