Representation of Orientation

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1 Representation of Orientation

2 Lecture Objectives - Representation of Crystal Orientation Stereography : Miller indices, Matrices 3 Rotations : Euler angles Axis/Angle : Rodriques Vector, Quaternion - Texture component by a single point

3 Crystalline Nature of Materials Many solid materials are composed of crystals joined together: In metals and other materials, th individual grains may fit together closely to form the solid: EBSD can determine the orientation of individual grains and characterize grain boundaries.

4 rystalline Nature of Materials - Grains A grain is a region of discrete crystal orientation within a polycrystalline material. The grain boundary is the interface between individual grains. Grain boundaries have a significant influence on the properties of the material, dependant on the misorientation across boundaries.

5 rystalline Nature of Materials - Grain Boundaries A grain boundary is the interface between two neighbouring grains. Classified by the misorientation - the difference in orientation between two grains. Grain boundaries are regions of comparative disorder, but, Special grain boundaries exist where a significant degree of order occurs These are termed CSL boundaries which have special properties

6 rystalline Nature of Materials - CSLs Coincident Site Lattice boundaries (CSL's). A significant degree of order occurs at a CSL boundary, which leads to special properties Schematic representation of a Σ3 boundary. Where the two grain lattices meet at the boundary, 1 in every 3 atoms is shared or coincident - shown in green. Schematic representation of a Σ5 boundary. 1 in every 5 atoms is shared or coincident.

7 rystalline Nature of Materials - Properties Isotropic & Anisotropic Properties If properties are equal in all directions, a material is termed 'Isotropic'. If the properties tend to be greater or diminished in any direction, a material is termed 'Anisotropic'. Many/most materials are anisotropic Anisotropy results from preferred orientations or 'Texture' In an isotropic polycrystalline material, grain orientations are random.

8 rystalline Nature of Materials - Texture Texture may range from slight to highly developed

9 Orientation by Stereography (Miller Index & Matrix)

10 asic Crystallography - Bravais Lattices There are 14 Bravais Lattices: From these, 7 crystal systems are derived

11 asic Crystallography - Crystal System Geometry of the unit cell Repeated structure throughout the crystal. There are seven Crystal systems: 1. Cubic. Hexagonal 3. Trigonal 4. Tetragonal 5. Orthorhombic 6. Monoclinic 7. Triclinic The lengths of the sides of the unit cell are shown below as a, b and c. The corresponding angles are shown as alpha, beta and gamma.

12 Basic Crystallography Crystallographic Direction A crystallographic direction describes the intersection of specific faces or lattice planes Miller Indices can be used to describe directions r a cubic material the plane and the normal to the ane have the same indices

13 Basic Crystallography - Miller Indices For a cubic example, Miller indices can be derived to describe a plane Consider a cubic unit cell with sides a b, c, with an origin as shown

14 Miller indices of a pole

15 Stereographic Projection Uses the inclination of the normal to the crystallographic plane: the points are the intersection of each crystal direction with a (unit radius) sphere.

16 Projection from Sphere to Plane Projection of spherical information onto a flat surface Equal area projection (Schmid projection) Equiangular projection (Wulff projection, more common in crystallography)

17 Standard (001) Projection

18 tereographic, Equal Area Projections Stereographic (Wulff) Projection*: OP =R tan(θ/) Equal Area (Schmid) Projection: OP =R sin(θ/) * Many texts, e.g. Cullity, show the plane touching the sphere at N: this changes the magnification factor for the projection, but not its geometry.

19 Pole Figure Example If the Diffraction goniometer is set for {100} reflections, then all directions in the sample that are parallel to <100> directions will exhibit diffraction. The Sample shows a crystal oriented to put all 3 <100> directions approximately equally spaced from the ND.

20 Miller Index of a Crystal Orientation 3 orthogonal directions as the reference frame. a set of unit vectors called e 1 e and e 3. In many cases we use the names Rolling Direction (RD) // e 1, Transverse Direction (TD) // e, and Normal Direction (ND) // e 3. We then identify a crystal (or plane normal) parallel to 3 rd axis (ND) and a crystal direction parallel to the 1 st axis (RD), written as (hkl)[uvw].

21 Basic Crystallography Miller Index In this example the orientation of the crystal shown can be written as: {100}<110>

22 Basic Crystallography - Orientation Matrix The orientation matrix describes the absolute orientation of the crystal with respect to the sample axes.

23 Basic Crystallography - Euler Angles Euler Angles are the three rotations abou the main crystal axes Euler angles are one possible means of describing a crystal orientation

24 Basic Crystallography Axis/Angle Misorientation Misorientation is the expression of the orientation of one crystal with respect to another crystal.

25 Orientation by 3 Rotations (Euler Angles :Mathematical Approach)

26 Euler Angle Definition (Bunge)

27 Euler Angles, Animated e 3 = e 3 =Z sample =N D [001] z crystal =e 3 = e 3 φ 1 φ Crystal RD D Sample Axes 3 rd position (final) [010] nd position y crystal =e 1 st position e e e =Y sample =TD x crystal =e 1 [100] Φ e 1 =e 1 e 1 =X sample =R D

28 Euler Angles, Ship Analogy nalogy: position and the heading of a boat with respect to the globe. Latitude (Θ) and longitude (ψ) : Position of the boat on Earth third angle (φ) : heading of boat relative to the line of longitude that connects the boat to the North Pole.

29 Meaning of Euler angles First two angles, φ 1 and Φ, the position of the [001] crystal direction relative to the specimen axes. Think of rotating the crystal about the ND (1st angle, φ 1 ); then rotate the crystal out of the plane (about the [100] axis, Φ); 3 rd angle (φ ) tells Rotation of the crystal about [001].

30 Euler Angle Definitions Bunge and Canova are inverse to one another Kocks and Roe differ by sign of third angle Bunge rotates about x, Kocks about y (nd angle)

31 Conversions Conv ention 1 st nd 3 rd nd ang le abou t axis: Kock s Ψ Θ φ y (symmetric) Bung e φ 1 -π/ Φ π/ φ x Matthies α β π γ y Roe Ψ Θ π Φ y

32 Miller indices to vectors Need the direction cosines for all 3 crystal axes. A direction cosine is the cosine of the angle between a vector and a given direction or axis. Sets of direction cosines can be used to construct a transformation matrix from the vectors. Sample Direction = TD = ^e [u v 0] α Axes Sample Direction 1 = RD = ^e 1 α 1 Direction Cosine 1 = cos(α 1 ) Sample Direction 3 = ND = e^ 3 Origin = (0,0,0) 45

33 Rotation of axes in the plane: x, y = old axes; x,y = new axes y y v x v = cosθ sinθ v sinθ cosθ θ x N.B. Passive Rotation/ Transformation of Axes

34 Definition of an Axis Transformation: e = old axes; e = new axes ample to Crystal (primed) ^ e 3 = a ij = ˆ e i eˆ a 11 a 1 a 13 a 1 a a 3 a 31 a 3 a 33 j ^ e 3 ^ ^ e 1 e 1 ^ e ^ e

35 Geometry of {hkl}<uvw> Sample to Crystal (primed) Miller index notation of texture component specifies direction cosines of xtal directions to sample axes. t = hkl x uvw [001] ^ e 3 ^ e 1 [uvw] ^ e 3 (hkl) ^ e 1 ^ [100] [010] ^ e ^ e t

36 Form matrix from Miller Indices ),, ( ˆ w v u w v u + + b = ),, ( ˆ l k h l k h + + n = b n b n t ˆ ˆ ˆ ˆ ˆ = = n t b n t b n t b Sample Crystal a ij

37 Bunge Euler angles to Matrix Rotation 1 (φ 1 ): rotate axes (anticlockwise) about the (sample) 3 [ND] axis; Z 1. Rotation (Φ): rotate axes (anticlockwise) about the (rotated) 1 axis [100] axis; X. Rotation 3 (φ ): rotate axes (anticlockwise) about the (crystal) 3 [001] axis; Z.

38 Bunge Euler angles to Matrix cosφ 1 sinφ 1 0 Z 1 = sinφ 1 cosφ 1 0, X = cosφ sinφ 0 Z = sinφ cosφ cosφ sin Φ, 0 sinφ cosφ A=Z XZ 1

39 Matrix with Bunge Angles [uvw] cosϕ 1 cosϕ sinϕ 1 sinϕ cosφ cosϕ 1 sinϕ sinϕ 1 cosϕ cosφ A = Z XZ 1 = sinϕ 1 cosϕ +cosϕ 1 sinϕ cosφ (hkl) sinϕ sin Φ sinϕ 1 sinϕ cosϕ sin Φ +cosϕ 1 cosϕ cosφ sinϕ 1 sinφ cosϕ 1 sinφ cosφ

40 Matrix, Miller Indices The general Rotation Matrix, a, can be represented as in the following: [100] direction a a a a a a [010] direction 1 3 [001] direction a a a Where the Rows are the direction cosines for [100], [010], and [001] in the sample coordinate system (pole figure).

41 Matrix, Miller Indices The columns represent components of three other unit vectors: [uvw] RD TD ND (hkl) a a a a a a 1 3 a a a Where the Columns are the direction cosines (i.e. hkl or uvw) for the RD, TD and Normal directions in the crystal coordinate system.

42 Compare Matrices [uvw] (hkl) [uvw] (hkl) a ij = Crystal b b b 1 3 Sample t t t 1 3 n n n 1 3 cosϕ 1 cosϕ sinϕ 1 cosϕ sinϕ 1 sinϕ cosφ +cosϕ 1 sinϕ cosφ sinϕ sin Φ cosϕ 1 sinϕ sinϕ 1 sinϕ cosϕ sin Φ sinϕ 1 cosϕ cosφ +cosϕ 1 cosϕ cosφ sinϕ 1 sinφ cosϕ 1 sinφ cosφ

43 Miller indices from Euler angle matrix h k nsin Φ sinϕ l = n cosφ u v = = = = w = ( cosϕ cosϕ sinϕ sinϕ cosφ) 1 ( cosϕ sinϕ sinϕ cosϕ cosφ) 1 nsin Φ cosϕ n n n sin Φ sinϕ n, n = factors to make integers 1 1 1

44 Euler angles from Miller indices Inversion of the previous relations: cosφ = cosϕ 1 = sinϕ = h u h l + k k + k w + v + l + w h h + k + k + l Caution: when one uses the inverse trig functions, the range of result is limited to 0 cos -1 θ 180, or -90 sin -1 θ 90. Thus it is not possible to access the full range of the anlges. It is more reliable to go from Miller indices to an orientation matrix, and then calculate the Euler angles. Extra credit: show that the following surmise is correct. If a plane, hkl, is chosen in the lower hemisphere, l<0, show that the Euler angles are incorrect.

45 Euler angles from Orientation Matrix Notes: The range of cos -1 is 0-π, which is sufficient for Φ from this, sin(φ) can be obtained Φ = ϕ ϕ 1 = = cos tan tan ( a ) The range of tan -1 is 0-π, (must use the ATAN function) which is required for calculating φ 1 and φ. if a 33 1, Φ=0, ϕ 1 = 33 ( a ) 13 sin Φ ( a sin Φ ) ( a sin Φ) ( ) 31 tan 1 a a 1 a sin Φ, and ϕ = ϕ

46 Complete orientations in the Pole Figure φ 1 (φ 1,Φ,φ ) ~ (30,70,40 ) 1 Rotation Rotation 3 Rotation φ 1 Φ φ φ Φ Note the loss of information in a diffraction experiment if each set of poles from a single component cannot be related to one another.

47 Complete Orientations in Inverse Pole Figure Note the loss of information in a diffraction experiment if each set of poles from a single component cannot be related to one another. The same as Pole figure Experiment

48 Other Euler angle definitions Very Confusing Aspect of Texture Analysis is that there are multiple definitions of the Euler angles. Definitions according to Bunge, Roe and Kocks are in common use. Roe definition is Exactly Classical definition by Euler Components have different values of Euler angles depending on which definition is used. The Bunge definition is the most common. The differences between the definitions are based on differences in the sense of rotation, and the choice of rotation axis for the second angle.

49 Orientation by 3 Rotations (Euler Angles :Texture Components)

50 Cube Component = {001}<100> {100} {110} {111}

51 Cube Texture (100)[001]:cube-on-face Observed in recrystallization of fcc metals The 001 orientations are parallel to the three ND, RD, and TD directions. ND TD RD {100} {010} {001}

52 Sharp Texture (Recrystallization) Look at the (001) pole figures for this type of texture: maxima correspond to {100} poles in the standard stereographic projection. RD ND TD TD {100} RD {001} {010}

53 Euler angles of Cube component The Euler angles for this component are simple, but not so simple! The crystal axes align exactly with the specimen axes, therefore all three angles are exactly zero: (φ 1, Φ, φ ) = (0, 0, 0 ). Due to the effects of crystal symmetry: aligning [100]//TD, [010]//-RD, [001]//ND. evidently still the cube orientation Euler angles are (φ 1,Φ,φ ) = (90,0,0 )!

54 {011}<001>: the Goss Component Goss Texture : Recrystallization texture for FCC materials such as Brass, (011) plane is oriented towards the ND and the [001] inside the (011) plane is along the RD. (110) ND [100] TD RD

55 {011}<001>: cube-on-edge In the 011 pole figure, one of the poles is oriented parallel to the ND (center of the pole figure) but the other ones will be at 60 or 90 angles but tilted 45 from the RD! RD (110) ND [100] TD TD RD {110}

56 Euler angles of Goss component The Euler angles for this component are simple, and yet other variants exist, just as for the cube component. Only one rotation of 45 is needed to rotate the crystal from the reference position (i.e. the cube component); this happens to be accomplished with the nd Euler angle. (φ 1,Φ,φ ) = (0,45,0 ). Other variants will be shown when symmetry is discussed.

57 Brass component Brass Texture : a rolling texture component for materials such as Brass, Silver, and Stainless steel. (110)[1 1] ND TD (110) RD [11]

58 Brass component 30 o Rotation of the Goss texture about the ND (100) (110) (111)

59 Brass component: Euler angles The brass component is convenient because we can think about performing two successive rotations: 1st about the ND, nd about the new position of the [100] axis. 1st rotation is 35 about the ND; nd rotation is 45 about the [100]. (φ 1,Φ,φ ) = (35,45,0 ).

60 Table 4.F.. fcc Rolling Texture Components: Euler Angles and Indices Name Indices Bunge (ϕ 1,Φ,ϕ ) RD= 1 copper/ 1 st var. copper/ nd var. Kocks (ψ,θ,φ) RD= 1 Bunge (ϕ 1,Φ,ϕ ) RD= Kocks (ψ,θ,φ) RD= {11} , 65, 6 50, 65, 6 50, 65, 64 39, 66, 63 {11} , 35, 45 0, 35, 45 0, 35, 45 90, 35, 45 S3* {13} , 37, 7 31, 37, 7 31, 37, 63 59, 37, 63 S/ 1st var. (31)<0 1> 3, 58, 18 58, 58, 18 6, 37, 7 64, 37, 7 S/ nd var. (31)<0 1> 48, 75, 34 4, 75,34 4, 75, 56 48, 75, 56 S/ 3rd var. (31)<0 1> 64, 37, 63 6, 37, 63 58, 58, 7 3, 58, 7 brass/ {110} , 45, 0 55, 45, 0 55, 45, 0 35, 45, 0 1 st var. brass/ {110} , 90, 45 35, 90, 45 35, 90, 45 55, 90, 45 nd var. brass/ {110} , 45, 90 55, 45, 90 55, 45, 90 35, 45, 90 3 rd var. Taylor {4 4 11} , 71, 0 48, 71, 0 48, 71, 70 4, 71, 70 Taylor/ {4 4 11} , 7, 45 0, 7, 45 0, 7, 45 90, 7, 45 nd var. Goss/ {110} 001 0, 45, 0 90, 45, 0 90, 45, 0 0, 45, 0 1 st var. Goss/ {110} , 90, 45 0, 90, 45 0, 90, 45 90, 90, 45 nd var. Goss/ {110} 001 0, 45, 90 90, 45, 90 90, 45, 90 0, 45, 90 3 rd var.

61 Summary Conversion between different forms of description of texture components described. Physical picture of the meaning of Euler angles as rotations of a crystal given. Miller indices are descriptive, but matrices are useful for computation, and Euler angles are useful for mapping out textures (to be discussed).

62 Orientation by Axis/Angle (Rodrigues Vectors, Quaternions)

63 Objectives Introduction of Rodrigues* vector as a representation of rotations, orientations and misorientations (grain boundary types). Introduction of quaternion and its relationship to other representations *French mathematician active in the early part of the 19th C.

64 Rodrigues vector Rodrigues vectors were popularized by Frank [Frank, F. (1988). Orientation mapping. Metallurgical Transactions 19A: ], hence the term Rodrigues-Frank space for the set of vectors. Most useful for representation of misorientations, i.e. grain boundary character; also useful for orientations (texture components). Fibers based on a fixed axis are always straight lines in RF space (unlike Euler space).

65 Rodrigues vector Axis-Angle representation : OQ Rotation axis r = OQ Rotation Angle about Axis : α ρ = r tan( α / ) The rotation angle is α, and the magnitude of the vector is scaled by the tangent of the semi-angle. BEWARE: Rodrigues vectors do NOT obey the parallelogram rule (because rotations are NOT commutative!

66 Orientation, Misorientation Orientation : g Misorientation : g Given two orientations (grains) g A and g B Misorientation between A and B Orientation g = g B g A -1 A g g A ND gb B RD TD

67 Conversions: Matrix RF vector Conversion from rotation (misorientation) matrix : g=g B g A -1 ρ1 ρ ρ3 = tanθ [ g(,3) tanθ [ g(1,3) tanθ [ g(1,) g(3,)]/ norm g(3,1)]/ norm g(,1)]/ norm norm = [ g(,3) g(3,) ] + [ g(1,3) g(3,1) ] + [ g(1,) g(,1) ] cosθ = ( cosθ + 1) = + tr( g)

68 onversion from Bunge Euler Angles: tan(θ/) = {(1/[cos(Φ/) cos{(φ 1 + φ )/}] 1} ρ 1 = tan(φ/) sin{(φ 1 - φ )/}/[cos{(φ 1 + φ )/}] ρ = tan(φ/) cos{(φ 1 - φ )/}/[cos{(φ 1 + φ )/}] ρ 3 = tan{(φ 1 + φ )/} Representation of orientations of symmetrical objects by Rodrigues vectors. P. Neumann (1991). Textures and Microstructures 14-18:

69 Combining Rotations as RF vectors Two Rodrigues vectors combine to form a third, ρ C, as follows, where ρ B follows after ρ A. Note : NOT parallelogram law for vectors! ρ C = (ρ A, ρ B ) = {ρ A + ρ B - ρ A x ρ B }/{1 - ρ A ρ B } vector product scalar product

70 ombining Rotations as RF vectors: component form ( ) [ ] [ ] [ ] ( ) B A B A B A B A B A B A B A B A B A B A B A B A C C C ,,,, ρ ρ ρ ρ ρ ρ ρ ρ ρ ρ ρ ρ ρ ρ ρ ρ ρ ρ ρ ρ ρ ρ ρ ρ ρ ρ ρ =

71 Quaternions A close cousin to the Rodrigues vector A four component vector in relation to the axis-angle representation as follows [uvw] : Unit vector of rotation axis θ : Rotation angle. q = q(q 1,q,q 3,q 4 ) = q(u sinθ/, v sinθ/, w sinθ/, cosθ/)

72 Why Use Quaternions? Quaternions offer a efficient way on combining rotations, because of the small number of floating point operations required to compute the product of two rotations. The quaternion has a unit norm ( {q 1 +q +q 3 + q 4 }=1) Always Finite Value No Computational Overflow & Underflow

73 Computation: combining rotations Quaternions 16 multiplies and 1 additions with no divisions or transcendental functions. Matrix 7 multiplies and 18 additions. Rodrigues vector 10 multiplies and 9 additions. The product of two rotations the least work with Rodrigues vectors

74 Conversions: matrix quaternion q q q q = sinθ [ g(,3) g(3,)]/ norm sinθ [ g(1,3) g(3,1)]/ norm sinθ [ g(1,) g(,1)]/ norm cosθ orm = [ g(,3) g(3,) ] + [ g(1,3) g(3,1) ] + [ g(1,) g(,1) ] cos θ = 1 1+ tr( g) = 3 tr( g) sin θ 1

75 Conversions: quaternion matrix The conversion of a quaternion to a rotation matrix is given by: e ijk is the permutation tensor, δ ij the Kronecker delta g ij = (q - q - q - q ) δ ij + q i q j + q 4 k= 1,3 e ijk q k

76 Bunge angles Quaternion [q 1, q, q 3, q 4 ] = [sinφ/ cos{(φ 1 - φ )/ }, sinφ/ sin{(φ 1 - φ )/}, cosφ/ sin{φ 1 + φ )/}, cosφ/ cos{(φ 1 + φ )/} ] Note the occurrence of sums and differences of the 1 st and 3 rd Euler angles!

77 Combining quaternions The algebraic form for combination of quaternions is as follows, where q B follows q A : q C = q A q B q C1 = q A1 q B4 + q A4 q B1 - q A q B3 + q A3 q B q C = q A q B4 + q A4 q B - q A3 q B1 + q A1 q B3 q C3 = q A3 q B4 + q A4 q B3 - q A1 q B + q A q B1 q C4 = q A4 q B4 - q A1 q B1 - q A q B - q A3 q B3

78 Positive vs Negative Rotations nsidering a rotation of θ about an arbitrary axis, r. If one rotates ckwards by the complementary angle, θ -π (also about r), in terms quaternions, however, the representation is different!

79 Positive vs Negative Rotations Rotation θ about an axis, r q(r,θ) = q(u sinθ/, v sinθ/, w sinθ/, cosθ/) Rotation θ π about an axis, r q(r,θ π) = q(u sin(θ π)/, v sin(θ π)/,w sin(θ π)/, cos(θ π)/) = q(-u sinθ/, -v sinθ/,-w sinθ/, -cosθ/) = -q(r,θ) The quaternion representing the negative rotation is the negative of the original (positive) rotation. The positive and negative quaternions are equivalent or physically indistinguishable, q -q.

80 Negative of a Quaternion The negative (inverse) of a quaternion is given by negating the fourth component, q -1 = ±(q 1,q,q 3,-q 4 ); this relationship describes the switching symmetry at grain boundaries. I = q A q B I = (0,0,0,1) q A = q B -1

81 Summary Rodrigues vectors : Rotations with a 3-component vector. Quaternions form a complete algebra. In unit length quaternions, they are very useful for describing rotations. Calculation of misorientations in cubic systems is particularly efficient.

82 Matrix with Roe angles [uvw] a(ψ,θ,φ) = (hkl) sinψ sinφ cosψ sinφ cosφ sinθ +cosψ cosφ cosθ +sinψ cosφ cosθ sinψ cosφ cosψ cosφ sinφ sinθ cosψ sinφ cosθ sinψ sinφ cosθ cosψ sinθ sinψ sinθ cosθ

83 Roe angles quaternion [q 1, q, q 3, q 4 ] = [-sinθ/ sin{(ψ - Φ)/ }, sinθ/ cos{(ψ - Φ)/}, cosθ/ sin{ψ + Φ)/}, cosθ/ cos{(ψ + Φ)/} ]

84 Conversion from Roe Euler Angles: tan(θ/) = {(1/[cos{Θ/} cos{(ψ + Φ)/}] 1} ρ 1 = -tan{θ/} sin{(ψ - Φ)/}/[cos{(Ψ + Φ)/}] ρ = tan{θ/} cos{(ψ - Φ)/}/[cos{(Ψ + Φ)/}] ρ 3 = tan{(ψ + Φ)/} See, for example, Altmann s book on Quaternions, where Ψ = α, Θ = β, Φ = γ. These formulae can be converted to those on the previous page for Bunge angles by substituting: Ψ = φ 1 π/, Φ = φ 1 + π/.

85 Matrix with Kocks Angles [uvw] a(ψ,θ,φ) = (hkl) sin Ψsinφ cos Ψcosφ cosθ sinψ cosφ cosψsinφ cosθ cos ΨsinΘ cosψ sinφ sinψcosφ cosθ cosψcosφ sinψsinφ cosθ sin Ψsin Θ cosφ sin Θ sinφ sin Θ cosθ Note: obtain transpose by exchanging φ and Ψ.

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