the representation of orientation distributionseps.berkeley.edu/.../1987-mettran-wenk-kocks.pdf ·...

10
The Representation of Orientation Distributions H.R. WENK and U. E KOCKS Textures are properly described as densities in a three-dimensional orientation space. The appropriate coordinates of this space are the Euler angles describing relative rotations or, equivalently, the location and azimuth of a vector on a sphere (a boat on the earth). The space spanned up by these angular coordinates has conventionally been chosen Cartesian, and the orientation distribution function (ODF) is then represented in two-dimensional (square) sections through this space, with contour lines. It is proposed that an alternative representation be used that maintains a closer connection to pole figures and inverse pole figures, which are projections of orientation space. There are advantages if ODF sections are also plotted in polar coordinates. The equivalents to pole figures are 'partial pole figures' or COD's (crystal orientation distributions); the equivalents to inverse pole figures are partial inverse pole figures or SOD's (sample orientation distributions). These representations are less distorted than conventional ODF's and display the symmetry properties in a more obvious way. In addition, both projections and sections should be plotted in equal-area projection; then, equal volume elements in orientation space are displayed by equal area elements in the representations. Common operations with these diagrams are outlined and illustrated using a rolled copper sample. I. INTRODUCTION IT is widely acknowledged that texture is the prime cause of anisotropy in polycrystalline metals: the nonrandom dis- tribution of the crystallographic orientations of the grains ('preferred orientation', 'texture', or 'fabric') transfers some of the anisotropic properties of single crystals to the aggregate. Whereas some properties show little or no anisot- ropy even in single crystals, many properties are strongly anisotropic even in materials with a cubic lattice. A nonrandomness of the orientation distribution is virtu- ally everpresent in metals, because all processes involved in producing such materials (casting, deformation, recrystal- lization) are locally orientation dependent. Texture studies are, in fact, frequently used by metallurgists to help identify the crystallographic details of such processes. Despite this general recognition of the importance of tex- ture for a description of macroscopic properties, it seems that quantitative evaluations of texture are rarely used in engineering practice or even in academic physical metal- lurgy, outside a small community of texture experts. In general applications, one or two pole figures are given at best, or some idealized orientations ('texture components'), with a qualitative interpretation of the expected effects. This is so even though sophisticated quantitative descriptions of three-dimensional orientation distributions have been avail- able for twenty years. 1.2.3 Why has there been such inertia in using quantitative texture descriptions as a general tool of deformation studies? We submit that much of this is due to choices that were made by the pioneers of this development, with respect to the graphic representation of orientation distributions. Of course, any representation may appear easy once it has become familiar; but some provide a significant activation barrier upon first contact. H. R. WENK is Professor in the Department of Geology and Geophysics at the University of California in Berkeley. U. E KOCKS is with Los Alamos National Laboratory, in the Center for Materials Science, Los Alamos, NM 87545. Manuscript submitted February 10, 1986. A number of alternative representations have been sug- gested in the literature but have, for some reason, not be- come common. We find a particular combination of these especially easy to visualize for the uninitiated, easy to assess qualitatively, and easy to evaluate quantitatively. These plots use polar rather than Cartesian coordinates (as pro- posed by Williams 3 and by Pospiech and Lficke,4'5 and equal-area projections (as they are commonly used in ge- ology. 6 We will describe these representations in the present paper, and also review in tutorial form some of the basic concepts of orientation distributions in uniform terminology. In addition to graphic representations of orientation distri- butions, algebraic ones were introduced right at the begin- ning of this development; particularly, the definition of a continuous orientation distribution function (ODF), and its expansion in generalized spherical harmonics. This pro- vides an elegant and concise description for some applica- tions (such as tensor properties), but becomes cumbersome when very many terms are needed. In such cases, a useful graphic representation of the data is essential for a quantita- tive analysis. For the purpose of this paper, we will assume that the three-dimensional orientation distribution is known, by theo- retical prediction or by some deconvolution of experimental measurements; we concem ourselves only with the repre- sentation of a known distribution. We will illustrate the principles presented with a particu- lar experimental texture: from the surface layer of a copper polycrystal cold-rolled to 60 pet reduction in thickness. Four incomplete pole figures (200, 220,222, and 113) were determined by X-ray diffraction in reflection geometry. The measured pole figures nearly exhibited orthorhombic symmetry (as expected), which was then strictly enforced by averaging the four quadrants of the pole figure. The orientation distribution function was obtained using the expansion in spherical harmonics (with only even-order co- efficients up to l = 18). Inasmuch as this is meant only to serve as an example, neither the detailed sample history nor the pole figure deconvolution procedure is of essence. U.S. GOVERNMENT WORK METALLURGICAL TRANSACTIONS A NOT PROTECTED BY U.S, COPYRIGHT VOLUME 18A, JUNE 1987-- 1083

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Page 1: The representation of orientation distributionseps.berkeley.edu/.../1987-MetTran-Wenk-Kocks.pdf · 2009. 8. 13. · equal-area projection (commonly used in structural geology) equal

The Representation of Orientation Distributions

H.R. WENK and U. E KOCKS

Textures are properly described as densities in a three-dimensional orientation space. The appropriate coordinates of this space are the Euler angles describing relative rotations or, equivalently, the location and azimuth of a vector on a sphere (a boat on the earth). The space spanned up by these angular coordinates has conventionally been chosen Cartesian, and the orientation distribution function (ODF) is then represented in two-dimensional (square) sections through this space, with contour lines. It is proposed that an alternative representation be used that maintains a closer connection to pole figures and inverse pole figures, which are projections of orientation space. There are advantages if ODF sections are also plotted in polar coordinates. The equivalents to pole figures are 'partial pole figures' or COD's (crystal orientation distributions); the equivalents to inverse pole figures are partial inverse pole figures or SOD's (sample orientation distributions). These representations are less distorted than conventional ODF's and display the symmetry properties in a more obvious way. In addition, both projections and sections should be plotted in equal-area projection; then, equal volume elements in orientation space are displayed by equal area elements in the representations. Common operations with these diagrams are outlined and illustrated using a rolled copper sample.

I. INTRODUCTION

IT is widely acknowledged that texture is the prime cause of anisotropy in polycrystalline metals: the nonrandom dis- tribution of the crystallographic orientations of the grains ('preferred orientation', 'texture', or 'fabric') transfers some of the anisotropic properties of single crystals to the aggregate. Whereas some properties show little or no anisot- ropy even in single crystals, many properties are strongly anisotropic even in materials with a cubic lattice.

A nonrandomness of the orientation distribution is virtu- ally everpresent in metals, because all processes involved in producing such materials (casting, deformation, recrystal- lization) are locally orientation dependent. Texture studies are, in fact, frequently used by metallurgists to help identify the crystallographic details of such processes.

Despite this general recognition of the importance of tex- ture for a description of macroscopic properties, it seems that quantitative evaluations of texture are rarely used in engineering practice or even in academic physical metal- lurgy, outside a small community of texture experts. In general applications, one or two pole figures are given at best, or some idealized orientations ('texture components'), with a qualitative interpretation of the expected effects. This is so even though sophisticated quantitative descriptions of three-dimensional orientation distributions have been avail- able for twenty years. 1.2.3

Why has there been such inertia in using quantitative texture descriptions as a general tool of deformation studies? We submit that much of this is due to choices that were made by the pioneers of this development, with respect to the graphic representation of orientation distributions. Of course, any representation may appear easy once it has become familiar; but some provide a significant activation barrier upon first contact.

H. R. WENK is Professor in the Department of Geology and Geophysics at the University of California in Berkeley. U. E KOCKS is with Los Alamos National Laboratory, in the Center for Materials Science, Los Alamos, NM 87545.

Manuscript submitted February 10, 1986.

A number of alternative representations have been sug- gested in the literature but have, for some reason, not be- come common. We find a particular combination of these especially easy to visualize for the uninitiated, easy to assess qualitatively, and easy to evaluate quantitatively. These plots use polar rather than Cartesian coordinates (as pro- posed by Williams 3 and by Pospiech and Lficke, 4'5 and equal-area projections (as they are commonly used in ge- ology. 6 We will describe these representations in the present paper, and also review in tutorial form some of the basic concepts of orientation distributions in uniform terminology.

In addition to graphic representations of orientation distri- butions, algebraic ones were introduced right at the begin- ning of this development; particularly, the definition of a continuous orientation distribution function (ODF), and its expansion in generalized spherical harmonics. This pro- vides an elegant and concise description for some applica- tions (such as tensor properties), but becomes cumbersome when very many terms are needed. In such cases, a useful graphic representation of the data is essential for a quantita- tive analysis.

For the purpose of this paper, we will assume that the three-dimensional orientation distribution is known, by theo- retical prediction or by some deconvolution of experimental measurements; we concem ourselves only with the repre- sentation of a known distribution.

We will illustrate the principles presented with a particu- lar experimental texture: from the surface layer of a copper polycrystal cold-rolled to 60 pet reduction in thickness. Four incomplete pole figures (200, 220,222, and 113) were determined by X-ray diffraction in reflection geometry. The measured pole figures nearly exhibited orthorhombic symmetry (as expected), which was then strictly enforced by averaging the four quadrants of the pole figure. The orientation distribution function was obtained using the expansion in spherical harmonics (with only even-order co- efficients up to l = 18). Inasmuch as this is meant only to serve as an example, neither the detailed sample history nor the pole figure deconvolution procedure is of essence.

U.S. GOVERNMENT WORK METALLURGICAL TRANSACTIONS A NOT PROTECTED BY U.S, COPYRIGHT VOLUME 18A, JUNE 1987-- 1083

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II. DIRECTION SPACE AND ORIENTATION SPACE

While the description of (two-dimensional) directions is relatively trivial, we will review it in detail, because we find it important to preserve some continuity between the two- and three-dimensional cases- -more continuity than has generally been made use of.

In some cases, only the distribution of a single direction is of interest: e.g., the distribution of c-axes in a hexagonal material with respect to the normal of a sheet; or the distri- bution of the tensile axes in the crystallographic unit triangle characterizing each grain of a cubic polycrystal. Such distri- butions are easy to treat quantitatively: the point density on the surface of a unit sphere characterizes the distribution of directions in a uniform way. It may be represented by vari- ous projections, and it may be simplified by the application of symmetry principles--which we shall summarize in Section III.

A particular symmetry deserves mention: namely when the sign of the direction is of no concern. Unsigned direc- tions are often called 'poles' or 'axes'; we shall use pole for the unsigned normal to a crystallographic plane, as is com- mon usage; and we shall use axis specifically for an un- signed sample coordinate. The distribution of either one with respect to some reference system can be described by point densities on the surface of a hemisphere. (Signed di- rections may be called 'unit vectors'; they are represented on the surface of the whole sphere.)

Whereas the term 'orientation' is sometimes loosely used in the same sense as 'direction' was used above (such as in 'the orientation of the tensile axis'), we wish to reserve the term orientation for the relation between an entire coordi- nate system (triad) and some reference triad. This requires the specification of three (perhaps perpendicular) axes or, more commonly, of two unit vectors and a handedness.

It took a long time for an appropriate description of orien- tation distributions to be developed: 1'2 i.e., an orientation space in which a uniform point density corresponds to a

uniform (e.g., random) distribution of orientations, analo- gous to the surface of a sphere in the case of directions. We will call such spaces 'homochoric'. One easy solution is illustrated in Figure I. Describe your reference frame on the surface of a sphere, using the (North) pole, the equator, and a zero meridian. Now pick one axis of the other triad (usually Z) and describe it by its longitude fl and its lati- tude or (more usually) its co-latitude or 'pole distance' a. This is like the description of any direction. To specify the orientation of the triad, one further needs the location of a second axis (usually X): this can be given by an azimuth to (here counted from the equator). A useful image is that of a boat at location Z on the surface of the earth, which is heading in direction X. An orientation distribution then is equivalent to a distribution of boats (and their headings) on the surface of the earth.

Figure l(b) shows a completely equivalent description in terms of more conventional Euler angles, as used by Bunge. 7 Here, one envisages three successive rotations of one frame with respect to the other, by the angles ~b,, ~ , ~b2 (in this sequence). Note that the point X' is at the intersec- tion of the equator and the horizon. The angles qb and a are obviously identical, so are (~2 and to; ~bi equals fl if the 'zero meridian' introduced rather vaguely above is chosen to intersect the equator at - y s . If one wished to describe the first triad in terms of the second, one merely has to reverse the sequence of the rotations and their signs.

There is an aesthetic flaw in this Euler space description of orientations: namely, that one direction (the 'first' axis Z used above) must be preferred by the observer, even if no such preference is inherent in the physics. For example, the rolling plane normal is commonly preferred over the rolling direction, although both have equivalent status. This arti- ficiality can only be alleviated by preferring various poles or axes in succession, perhaps until one is found that is most easily visualized--or by showing two or three of these representations in parallel.

It is worth pointing out that the proposed description is different from the one using one particular axis in space

.-"'"~-- pole

zero ~ ~ meridian / .~ ~>- ..... I \ I / / ,z ----. . . ._ / \

. / ~..., /

o r i z o n .-- . /

(a)

_ y 8

/ iX ' z~ ,i" / ,------..,;c/

' , , t . i / % J /

(b) Fig. 1 - (a) A direction Z is represented as a location on the surface of a sphere: by its longitude fl and its pole distance a (perspective drawing). An orientation is represented by Z(fl, a) and an azimuth to around it. (b) An equivalent representation in terms of the angles ~, , ~ , tb2. An orientation distribution corresponds to a distribution of boats (with specified headings) on the surface of the earth.

1084--VOLUME 18A, JUNE 1987 METALLURGICAL TRANSACTIONS A

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around which a single rotation brings the two triads into coincidence.

III. REPRESENTATION OF DIRECTIONS

A. Equal-Area and Stereographic Projections

The location of a point on a sphere is easily described by the angles a and/3 introduced in Figure 1. A point on the sphere is then projected onto a plane by means of some standard projection. Stereographic and equal-area projec- tions are most widely used. Projections always distort a true representation. In the stereographic projection (com- monly used in metallurgy) equal angles between lines on the surface of the sphere appear equal on the projection. In equal-area projection (commonly used in structural geology) equal areas on the sphere have the same size in projection. Graphic constructions and the determination of angular re- lationships can be performed with a Wulff net or a Schmidt net, respectively. 6 While stereographic projection is most appropriate when the angles between crystal directions are of prime concern (such as for an interpretation of diffraction patterns), equal-area projection would seem more appropri- ate when population densities are to be described. This is particularly evident when distributions of individual orien- tations are presented (Figure 2): a uniform distribution of points, when represented in stereographic projection, does not have the same number of points per unit area in different parts of the pole figure (Figure 2(a)); in an equal-area pro- jection it does (Figure 2(b)). (An advantage of the stereo- graphic projection is that circles remain c i rc les--but their centers on the sphere do not correspond to their geometric centers in projection.)

Figure 3 shows a {100} pole figure of a typical copper texture, both in stereographic (Figure 3(a)) and equal-area projection (Figure 3(b)). Pole densities are experimentally averaged into a continuous distribution and contours are expressed in multiples of a random distribution ("m.r.d.").

(a)

(b)

Fig. 2--Project ion of a random distribution of 400 points on the surface of a hemisphere in (a) stereographic projection, (b) equal-area projection. The Wulff and Schmidt nets are superposed for reference.

Note that the (100) pole figure of a cubic material displays all three {100} orientations for each grain--but it does not give direct information on which {100} is in fact the specific (001) pole for a specific (100), for one grain. It is for this reason that pole figures are usually insufficient for a quan-

Ys (TD)

X s ( R D ) I

J u

\',,r t,,

(a)

1 X 8 (RD)

~//// / /

(b) Fig. 3--Experimentally determined {200} pole figure of copper rolled to 50 pct reduction at room temperature. Transverse (TD) and rolling (RD) direction are indicated. (a) Stereographic projection, (b) equal-area projection. Contour intervals are 0.5 m.r.d., stippled below 0.5 m.r.d.

METALLURGICAL TRANSACTIONS A VOLUME 18A, JUNE 1987-- 1085

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titative description of textures; but they are the most quan- titative experimental information available.

B. Pole Figures and 'Inverse Pole Figures'

In the last section, the sample axes were chosen as a reference system, and the crystallographic poles were de- scribed in this frame. A completely equivalent description is its inverse (or dual): that of sample axes in terms of crystal axes. Sometimes one is more appropriate, sometimes the other. For example, when the sample is a wire, there is no natural sample triad, and all pole figures degenerate into circles; but a description of the wire axis distribution in terms of the crystal axe s - - an 'inverse pole f igure ' - - is illustrative. Conversely, when the most appropriate sample axes (e.g., the most symmetric ones) are not known suf- ficiently accurately beforehand, a pole figure provides in- formation on the actual sample symmetry, and thus guidance in selecting 'sample' axes.

For cubic materials, which we emphasize in the present paper, the three <100) directions provide a ready reference frame for inverse pole figures. Cubic symmetry reduces the area on the sphere that is necessary for a complete descrip- tion by a factor 24: only 2 of the 48 unit triangles are needed, even if the plotted axis has no symmetry; if it lies in a mirror plane of the sample, a single triangle suffices. 8

Figure 4(a) shows one quadrant of the unit hemisphere, as it is usually projected: with the preferred pole (001) at the center. This makes the center a special point. One effect is that the mesh units have very small area there; if the constant-q) lines were drawn such as to make each mesh unit encompass equal area, the units near the center would attain a very non-equiaxed shape. The unit triangles under cubic symmetry are also shown: any one of the three triangle-pairs (labeled I, IIa/b, and III) suffices for the most general case; but the special nature of the origin would seem to make pair I an especially poor choice.

Figure 4(b) shows a different scheme: the preferred pole (001) has been moved to the periphery. 3 In this case, it is possible to have similar and equiaxed unit areas everywhere. The preferred triangles are shown in what appears to us to be the most convenient way (and rather conventional). For a numerical description, it would seem easier to use the

001

100

(a) oio

latitude h (rather than the co-latitude o~ '), and a longitude/3 (counted from [100]).

Figure 5 demonstrates the case of the particular copper sample whose measured (200) pole figure was shown in Figure 3. As mentioned above, four pole figures were used to obtain the orientation distribution by means of the har- monic method and from it, several pole figures and in- verse pole figures were recalculated. Figures 5(a) and 5(b)

{100] X S

Z s

{111] X $

y S ~ Z s (a) (b)

100 110 100 110 (c) (d)

Fig. 5 - - { 100} and { 11 I} pole figures (a, b) and inverse pole figure for the ND and RD axis (c,d) for copper recalculated from the ODF with the harmonic analysis. Equal-area projection. Contour intervals are 0.5 m.r.d. ; stippled below 0.5 m.r.d.

O0

\ \

(b) Fig. 4 - - ( a ) Equal-area projection of the quadrant of an inverse pole figure for cubic crystals as it is conventionally drawn. (b) An equivalent quadrant in equal-area projection, drawn such as to exclude the special pole (001).

1086--VOLUME 18A, JUNE 1987 METALLURGICAL TRANSACTIONS A

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show the {100} and {111} pole figures, respectively (folded into one quadrant, using the orthorhombic symmetry). Fig- ures 5(c) and 5(d) display two inverse pole figures, for the X ' and Z ' axes (roiling direction RD and rolling plane normal ND, respectively).

IV. REPRESENTATION OF ORIENTATIONS A. Previous Representations

In the last figure (Figures 5(c), (d)), we showed two in- verse pole figures, which contain much qualitative informa- tion about the relation between the sample reference system and the crystallographic reference system, but the exact correlation is missing (e.g., if we wish to find the X'-axis of a particular grain).

It is for this reason that a truly three-dimensional repre- sentation is necessary in general. One easy way to intro- duce it is to plot, for example, an inverse pole figure for Z ~ and perpendicular to it the amount of rotation around this preferred direction.3'4 Another good method is to attach ticks to the points in an inverse pole figure to indicate the rotation around this point 9 much like in the "boats on the earth" picture introduced above; the disadvantage of the latter is that it works only for discrete points, not for continuous distributions. Neither of these procedures is easily appli- cable to pole figures, if there is more than one equiva- lent pole.

In texture research, another description, introduced by Bunge ~ and Roe, 2 has become common, which is entirely equivalent, only differently phrased and differently repre- sented. Here, three successive rotations are performed around the coordinate axes of the reference system (in a

certain sequence), by the three Euler angles ~bi, dp, ~b2 (Figure 6).* In the sample reference frame, the first two

*We are staying as close as possible to Bunge's conventions. ~'7 Most type fonts contain only the straight or only the curly version of lower-case phi: they should be treated as completely equivalent. All three rotations increase counterclockwise (looking down on the positive axis) in the sample frame; in the crystal frame, their sequence is reversed as well as their signs.

rotations are equivalent to the angles/3 and a used before: they do describe a direction, and ~bz measures an azimuth around this direction (Figure 1). However, {~b~, qb, ~b2} are usually treated as three parameters on equal footing, and plotted in a three-dimensional Cartesian space.l~ This is equivalent to projecting the hemisphere on which the direc- tions (~b:, ap) are uniformly distributed onto a square: the entire advantage of using a homochoric space (the Euler space) has been lost in its representation. An advantage is that the periodicity in all three rotations can be seen: the Cartesian Euler space can in fact be represented by a space lattice with orthorhombic symmetry (but no inver- sion center). ~'~2

The graphic representation of orientation distributions in this Cartesian space of Euler angles can be shown by con- tour lines in a series of two-dimensional sections, and this diagram has become so common as to be virtually identified with the abbreviation ODE Figure 7 shows such a plot, for the same copper sample illustrated before. Sections are spaced 5 deg along th2 from ~b2 -- 0 deg to ~b2 = 90 deg. </h ranges from 0 to 180 deg and dp from 0 to 90 deg. This range contains 6 symmetrically equivalent orientations, as will be discussed below. Note that the representation is severely distorted: the single orientation, in each section, for which �9 = 0 is represented by a line.

X s X c= [1003

xC= [lOO] \ \

\ \

N X

z ~ ~ ,.

~ iZ C= [001]

: Z S

.o

z z

"<...._ to,o ..

_ y S .

~ ~149

"". Z ~

zC-~.[O01] o

~ I ~

�9 ~ e ~

.yC = [0 10]

t X /

(a) (b) Fig. 6--Defini t ion of Euler angles ~b~, qb, qS~ in equal-area projection, using the convention of Bunge, 7 based on the sample coordinate system (a) and the crystal coordinate system (b).

METALLURGICAL TRANSACTIONS A VOLUME 18A, JUNE 1987-- 1087

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0 o ~ 1 ~ 9 0 ~ 0 o 1 8 0 ~

90 ~

Fig. 7 - - O D F of rolled copper, represented as ~b2-sections in conventional Cartesian coordinates. Contour intervals 0.5 m.r.d., stippled below 0.5 m.r.d. The range of qb is from 0 to 90 deg (down), that of th~ is from 0 to 180 deg (right). Note the symmetry relations: sections at q~2 = 0, 45, and 90 deg have vertical mirror planes; (90 ~ - ~b2)-sections are vertical mirror images of q~z-sections. An irreducible region for this symmetry (half of region I in Fig. 4(a)) is indicated as a box in the first 10 sections.

B. Polar Coordinates: The COD

Most of the difficulties of visualization disappear when the angle pair {~b ~,~} is represented in polar coordinates, just as in a pole figure; the third angle, ~b2, can then be represented in a third dimension, perpendicular to the polar plo t . 5A3'14 W e ca l l t h i s a crystal orientation distribution or COD, indicating that the crystal orientations are represented in a sample reference frame. (Note that the acronym COD has also been used as exactly synonymous with ODF.) For a 2-dimensional image, a set of sections (or slices) through this space at constant values of ~b2, with contour lines, is adequate (Figure 8).

A ~b2-section of the COD may be viewed as a "partial" {001} pole figure which shows the distribution of only those (001) poles that have corresponding (100) poles ro- tated ~b2 deg away from the equator. These th2-sections of the COD (Figure 8) contain the same information as those of the conventional COD (Figure 7), but they are repre- sented in polar rather than Cartesian coordinates, and in equal-area projection. It appears to us that such a polar representation of the COD is considerably easier to read than the traditional Cartesiar~ way, which represents the ODF as a density function with three equivalent rotations. Let us list some of these advantages.

1. Orientations can be readily identified First, this is trivially true for directions, i.e., when only

one axis is of importance: this is the advantage of having

chosen a description in which the first axis is explicitly given in the classical way. More generally, consider, in Figure 8, the maximum labeled C at ~bl = 40 deg, qb = 66 deg in the ~b2 = 25 deg section. It contains (001) axes of those grains whose (100) axes lie 25 deg away from the equator. By means of a standard net we can construct the full crystal orientation (Figure 9(a)). We see that (121) coincides with ND and [ 1]1 ] with RD; this is the well-known "copper" texture component. 5 For another case, consider the maxi- mum labeled B at ~bl = 35 deg, �9 = 45 deg in the ~b2 = 0 section (Figure 8). The analysis in Figure 9(b) shows that this orientation has (011) parallel to ND and [21]] parallel to RD: the "brass" texture component.

2. Angles can be directly measured in the diagram Assume we would like to know the relation between the

two orientations that are associated with the C and B max- ima discussed above, expressed as a rotation about a single axis. This is demonstrated in Figure 9(c): construct the two orientations as in (a), superpose the two diagrams, and find the two bisectors (dotted): their intersection marks the axis of rotation ((210)), and the angle to (= 35 deg) of the rota- tion around this axis that brings the two orientations into coincidence is easily read off by means of a Schmidt net. (This is not a unique solution because of the high crystal symmetry. J2)

3. The symmetry is clearly displayed Crystal and sample symmetry cause certain orientations

in the COD to be equivalent. For example, a four-fold

1088--VOLUME 18A, JUNE 1987 METALLURGICAL TRANSACTIONS A

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X s

yS~ G

8 0 0 RD

~)2 - P R O J E C T I O N ~

TO ~ ~"--r ~ 1 ND

Fig. 8 - - C O D of rolled copper represented as partial {00l}-pole figures in equal-area projection, corresponding directly to Fig. 7. The last diagram is an average over all partial pole figures and corresponds to a (001) pole figure (Fig. 3 and Fig. 5(a)). The circular sector indicated in the first 10 sections is the same irreducible region shown in Fig. 7 as a box. The most common components of the fcc rolling texture are indicated, by o n e representative: C - - t h e 'copper' component {121}{IT1); S - - t h e 'S ' component {132} (643); B - - t h e 'brass' component {011} (2T1); G - - t h e 'Goss' component {011} (100); and also the ' a-fiber ' .

RD=111

t \ '" ' .... 7 <. ......... "/"<'

(a)

R 0=2 11 RD

-- . . . . . - -~ " / ' ~ -~2~. ',"rotation

TO \\\\ Coppe TD

\ 7 s

(b) (c) Fig. 9- -Der ivat ion of orientation relationships. (a) Reconstruction of the crystal orientation for the maximum at 4), = 40 deg, �9 = 66 deg, d): = 25 deg in the COD of Fig. 8 and an equal-area net (C component). (b) Same as (a) for the orientation ~b~ = 35 deg, �9 = 45 deg, tO2 = 0 deg (B component). (c) Superposition of (a) and (b) to determine the rotation axis and angle to that brings the two orientations into coincidence.

METALLURGICAL TRANSACTIONS A VOLUME 18A. JUNE 1987-- 1089

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symmetry axis in [001] causes 4)2 to repeat every 90 deg, and there is no need to extend 4)a-sections through a full 360 deg span. In order to be complete, the sector shown in the COD must contain at least one orientation of each sym- metrically equivalent set. In the case of cubic crystal sym- metry and orthorhombic specimen symmetry, a range of 4)~ from 0 deg to 180 deg, of qb from 0 deg to 90 deg, and of 4)2 from 0 deg to 45 deg is sufficient. A unit with all three angles going from 0 deg to 90 deg would also suffice, re- suiting in smaller sectors but more sections, which is less convenient for printing and also makes it more awkward to visualize angular relations. Both of these schemes still con- tain three equivalent orientations due to the three-fold axis along (111 >; these are not easily recognized in the COD. We have shown in Figure 8 an unnecessarily large sector in order to illustrate some of the symmetry relationships. Note that only 4)2 = 0 deg and 4)~_ = 45 deg sections show ('vertical') mirror planes. Sections at 4)2 are related to sec- tions at (90 ~ - 4)2) by a mirror inversion. The 4)2 = 0 deg and 4)2 = 90 deg sections are identical.

Polar COD's are particularly useful to check how closely an assumed specimen symmetry is approached. For ex- ample, in our rolled copper specimens, the first-measured pole figures, based on the "given" coordinate axes ND and RD were clearly not close enough to orthorhombic sym- metry. We redefined the sample axes until the pole figure exhibited satisfactory orthorhombic symmetry, and only then averaged the four quadrants as described above. Often it would be preferable to manipulate actual measurements as little as possible and to compare these "raw data" with theoretical predictions. In this case, variations that are smaller than the observed deviations from the appropriate sample symmetry should be treated as meaningless.

4. There is a visible connection to the pole figure Viewing the COD as a set of partial {001} pole figures,

with each 4)2-section containing the subset of (001) poles for a certain (100) elevation, implies that the average of all

4)2-sections over a full 4)2 rotation from 0 deg to 90 deg for cubic crystal symmetry constitutes the complete {001} pole figure. This is the same as aprojection along 4)2; it is shown in the last diagram of Figure 8 and compares favorably with the measured (002) pole figure (Figure 3(b)).

5. The representation is uniform The space selected for representation and for projection

(Euler space in polar equal-area projection) is homochoric with orientation space: equal densities seen are equal densi- ties present. For this reason, we recommend equal-area projection also for pole figures: 14 it provides a better repre- sentation of the total fraction of crystals that contribute to a maximum (see Figures 2 and 3).

The points (1) through (4) made above illustrate that a COD in polar coordinates is indeed easy to visualize and to analyze quantitatively. It displays all the information needed to derive full orientation relations using simple geometric constructions. If, in addition, one chooses equal-area plots, the visual impression is representative of the actual distribu- tion (point 5).

C. The Sample Orientation Distribution (SOD)

A description of sample axes in terms of crystallographic axes can make use of the same Euler angles, and we call it the Sample Orientation Distribution or SOD. Now the pair {4)2,~} describes the direction (typically of the ZS-axis or ND direction) with reference to the crystal system, just like in any inverse pole figure, and 4)~ describes the azimuthal rotation around this direction. An appropriate space for the SOD is thus an equal-area projection (or the part of it that is necessary according to the symmetry of the crystal, as in Figure 4(b)) and a perpendicular dimension along which 4)~ is plotted. It is seen that 4)~ and 4)2 have switched their roles as azimuth and longitude. Again, we can represent the three- dimensional SOD by a series of sections, this time at con- stant 4) l (Figure 10). A projection along 4) ~ gives a Z'-axis

X c

r

G w

[ oo]

0,-P O C ,ON

[o o] [001]

Fig. 10--SOD of rolled copper represented as partial ND inverse pole figures. The last diagram is an average over partial inverse pole figures from ~bj = 0 deg to 4~ = 180 deg and corresponds to an inverse pole figure for the ND axis (Fig. 5(c)). The letters indicate fcc rolling components as in Fig. 8, and the 'fl-fiber'. The irreducible triangle appears in the sections where information is nonredundant.

1090--VOLUME 18A, JUNE 1987 METALLURGICAL TRANSACTIONS A

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figure: an 'inverse pole figure' for ND. In analogy to the term 'partial {001} pole figure' which we introduced above for a ~b2-section, we may call a ~bl-section a 'partial ND inverse pole figure'.

A similar concept was introduced by Williams in 1968:3 he represented three-dimensional orientation distributions by a series of partial ND inverse pole figures (which he called "axial pole figures"), and also showed how these can be derived from pole figures by the "matrix method" (quite similar to the "vector method"IS). Williams used a definition for the azimuthal angle (his/3) that differs from the Euler angle ~bl; while this has some advantages, 3 it has the dis- advantage that the duality between ~bl and ~b2, i.e., between the SOD and the COD, gets lost. More significantly, using /3 as the third dimension in the SOD would not make a homochoric space. We therefore do not follow Williams in this respect.

In Figure 10, each ~b i-section displays the distribution of those specimen normals Z ' = ND which have their X' = RD axis ~b~ deg off the equator (clockwise rotation, cf. Figure 6(b)). As explained in detail before, a range of 0 deg to 90 deg in each of the three angles would be sufficient; in fact, there are still three equivalent orientations due to the three-told (liD-axis. They are not easily recognized in the SOD sections (although they are evident in the projection). For example, the maxima at {~b,, dO, Oh2} = {0, 45 deg,0}, {0, 45 deg, 90 deg}, and {90 deg, 90 deg, 45 deg} are equivalent. (For an analytical expression of this symmetry relation, see, e.g., Reference 12.) Because of this, only one unit triangle in Figure 10 needs to be represented (an ex- ample is shown emphasized in the ~b, = 0 deg section); but again, a larger sector is often easier to visualize. In Figure 10, we have chosen to show a range in 4)2 from 0 to 180 deg which displays repetitions due to the fourfold Z C. It is not possible to compensate for this by reducing the range of ~b 1 to be from 0 deg to 45 deg, as it could be done for ~b2 in Figure 8. Note that the cb,-projection must be calculated as a sum over all sections from ~bl = 0 to 180 deg (although only half of those are shown in Figure 10).

A special point must be made regarding the center of the polar plots: the singular point where Z' and Z c are parallel, the 'North pole'. Here, the meridian is multivalued (~bl in the COD, ~b2 in the SOD). However, the heading of the boat is well-defined; thus, ~b2 has a meaning in the COD, ~b~ in the SOD. This physical situation is well accounted for by choosing the value zero for the multivalued longitude (~bt in the COD, ~b2 in the SOD). (This method seems easier than the conventional one of adding ~bl and ~b2.)

Finally, we must emphasize that we have actually stayed with the conventional and expedient type of polar plot: with the singular point at the center--not , as suggested in Figure 4(b), at the periphery. For cubic materials, the partial inverse pole figures (Figure 10) could be converted by merely superimposing on them a net of the kind used in Figure 4(b); one would then be able to choose a reduced region with minimal distortion. For the partial pole figures, one would have to write a new plotting routine, which would then be incompatible with conventional pole plots.

V. CONCLUSIONS

In the following, we summarize the points made in the present paper.

METALLURGICAL TRANSACTIONS A

1. We have emphasized the distinction between directions (2-D quantities) and (3-D) orientations, but kept some continuity in their respective quantitative descriptions.

2. We have re-emphasized the need for representations of direction space and orientation space that do not distort densities (and labeled such spaces 'homochoric'). The surface of a unit sphere is a homochoric direction space; Euler space is a homochoric orientation space. Unfortu- nately, it requires the preference, in the description, of one of the three coordinate axes defining an orienta- t i o n - or, equivalently, of one direction (around which a rotation defines the third parameter). The preferred direction should be described like any direction: as a point on the surface of a unit sphere (e.g., by its longi- tude and co-latitude).

3. Two-dimensional representations of either the sur- face of a sphere or of a three-dimensional orientation space should preserve the homochoricity so strenuously achieved. Thus, the surface of a sphere should be projected in equal-area projection, which is just as easy to use as the stereographic projection, but much easier to visualize in terms of relative densities of directions. Similarly, three-dimensional orientation space should first be projected onto the surface of a sphere (to describe the preferred direction, e.g., in terms of its longitude and co-latitude); then, this surface should be projected onto a circle in equal-area projection; and finally, the third di- mension may be represented by means of constant- azimuth sections. We find the analog of the positions and headings of boats on the surface of the earth helpful.

4. In application of these principles, we propose to use two dual orientation distribution representations: the COD, which represents the orientation of a crystal coordinate system with respect to a sample frame in terms of a set of partial {001 }-pole figures (each containing those of the preferred poles that have a particular azimuth ~b2); and the SOD, which conversely displays the orientations of sample coordinate axes with respect to a crystal frame in terms of a set of partial ND inverse pole figures (each containing those preferred axes that have a particular azimuth ~bl). The final figure represented in each COD is the average partial pole figure (or ~b2-projection), which is a {001}-pole figure; similarly, the final figure shown in a SOD is the average partial inverse pole figure (or qS~-projection): it is an ND inverse pole figure. We find these polar representations of the orientation distribution much easier to visualize and evaluate than the Cartesian ODF representations that have become common.

5. The net to be used in any of the representations should, while consisting of constant-area units, be also equiaxed (rather than having very anisotropic shapes). This is pos- sible when the least symmetric unit needed is chosen so as not to include the (North) 'pole' of the representation (see Figure 4(b)).

Our principal concern has been to find two-dimensional graphic representations of three-dimensional orientation dis- tributions that allow one to "see" something (with minimal distortion). We "like" two sets of circular sections; each set may be stacked up as a cylinder. Unfortunately, it is difficult to visualize a three-dimensional space through which the COD and the SOD are different sections. This was easy in the conventional Cartesian Euler space.

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In all of our discussion, we have used a sample of a cubic metal deformed in rolling. The same concepts have been applied to cases of lower crystal and sample symmetries, where the advantages are even more striking. 16,17

We end our discussion by outlining the specific, very minor changes that would have to be made in existing com- puter codes to implement our suggestions. The calculation of ODF's from pole figures is unaffected; but instead of using the contouring routine for a rectangular grid, one should use, for each ODF section, the pole-figure con- touring routine (such as Vadon's URFDP). To convert from stereographic to equal-area projection, one simply must change the formula for the projection of the pole distance from tan(a/2) to ~/2" sin(a/2).

ACKNOWLEDGMENTS

The authors gratefully acknowledge many helpful dis- cussions with M. Hatherly, K. Liicke, and H. Mecking, as well as instructive comments on the manuscript by J.S. Kallend, S. Matthies, P.R. Morris, and T. Takeshita; we also thank P. S. Follansbee for the Cu sample, and D. O'Brien and A. Vadon for permission to use their plotting programs. This work was supported by the United States Department of Energy, the IGPP of the University of California at Los Alamos, and the National Science Founda- tion (EAR 84-06070).

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1092--VOLUME 18A, JUNE 1987 METALLURGICAL TRANSACTIONS A