1.9 Stacking faults and twins 23
if the backs and palms of your hands were identical, in which case, of course, your right
hand would be indistinguishable from your left!
The Frank notation shows very well the distinction between extrinsic and intrinsic
stacking faults; in the formercase there aretwoinversions from thefcc stacking sequence,
and in the latter case, one.
So far we have only considered stacking of close-packed layers of atoms and stacking
faults in terms of the simple ‘hard sphere’ model. This model, given the criterion that
the atoms should fit into the ‘hollows’ of the layers below (Fig. 1.4), would indicate that
any stacking sequence is equally likely. We know that this is not the case—the fact that
(except for the occurrence of stacking faults) the atoms, for example, of aluminium, gold,
copper, etc., form the ccp structure, and zinc, magnesium etc., form the hcp structure,
indicates that other factors have to be considered. These factors are concerned with the
minimization of the energies of the nearest and second nearest neighbour configuration
of atoms round an atom. It turns out that it is the configuration of the second nearest
neighbours which determines whether the most stable structure is ccp or hcp. In one
metal (cobalt) and in many alloys (e.g. α-brass) the energy differences between the two
configurations is less marked and varies with temperature. Cobalt undergoes a phase
change ccp hcp at 25˚C, but the structure both above and below this temperature is
characterized by many stacking faults. In α-brass the occurrence of stacking faults (and
twins) increases with zinc content.
A detailed consideration of the stability of metal structures properly belongs to solid
state physics. However, in practice we need to invoke some parameter which provides
a measure of the occurrence of stacking faults and twins, and this is provided by the
concept of the stacking fault energy (units mJ m
−2
); it is simply the increased energy
(per unit area) above that of the normal (unfaulted) stacking sequence. Hence the lower
the stacking fault energy, the greater the occurrence of stacking faults. On this basis the
energy of a twin boundary will be about half that of an intrinsic stacking fault, and the
energy of an extrinsic stacking fault will be about double that of an intrinsic stacking
fault.
As mentioned above, stacking faults, and the concept of stacking fault energy, play
a very important role in the deformation of metals. During deformation—rolling, extru-
sion, forging and so on—the regular, crystalline arrangement of atoms is not destroyed.
Metals do not, as was once supposed, become amorphous. Rather, the deformation is
accomplished by the gliding or sliding of close-packed layers over each other. The overall
gliding directions are those in which the rows of atoms are close-packed, but, as will also
be evident from the models, the layers glide in a zig-zag path, from ‘hollow to hollow’
and passing across the ‘saddle-points’ between them. This is shown in Fig. 1.19, which
is similar to Fig. 1.4, but re-drawn showing fewer atoms for simplicity. The overall glide
direction of the B layer is along a close-packed direction, e.g. left to right, but the path
from one B position to the next is over the saddle-points via a C position, as shown by
the arrows. But the B layer may stop at a C position (partial slip), in which case we have
an (intrinsic) stacking fault (Exercise 1.7). This partial slip is represented by the arrows
or vectors B → CorC→ B.
Extrinsic stacking faults, twins and the ccp → hcp transformation may be accom-
plished by mechanisms involving the partial slip of close-packed layers. The mechanism