Dislocation densities, arrangements and character from X-ray diffraction experiments
Introduction
Dislocations are a general feature in crystalline materials. In metals and alloys they are always present. In semiconductors dislocations are often a nuisance where technology tries to avoid them by any means. In ionic crystals they are a curiosity and in geological crystals they can tell us about the history of stones. The wide variety of their appearance and the difference in their usefulness or harm invoked a number of experimental techniques in order to keep track of their properties and presence. X-ray diffraction techniques and instrumentation have made tremendous developments during the last two decades due to high resolution techniques and synchrotron sources enabling to measure diffraction profiles with high accuracy and to resolve effects on profile tails caused by coherent elastic or diffuse scattering. Different techniques of reciprocal space mapping make it possible to separate between contributions of microtilts and lattice spacing changes which is especially informative in the analysis of the dislocation structures in thin films or multilayers. In low quality thin films the dislocation structures resemble that of chaotically distributed dislocations in bulk materials. The large variety of dislocation structures: (i) low density misfit dislocations in nearly perfect thin films and multilayers, (ii) dislocation clusters in low quality layered structures, (iii) special dislocation structures in intermetallic alloys revealing planar glide, (iv) interface dislocations in heterogeneous microstructures or (v) chaotically distributed dislocations in bulk materials, especially metals and alloys, all need special X-ray techniques and/or special methods, theories and models for the evaluation of experimental data. Taking into account all X-ray diffraction methods for studying dislocations from topography through reciprocal lattice mapping to peak broadening dislocation densities from 100 to 1018 m−2 are accessible, indicating the powerfulness of X-ray diffraction methods. In the present paper only the methods, theories and models relevant for chaotically distributed dislocations in bulk materials will be considered. It is important to note, however, that even in this type of dislocation structures high resolution X-ray diffraction techniques have revealed interface dislocations due to the heterogeneity of the microstructures. This aspect will also be discussed briefly. Direct methods cluster around transmission electron microscopy (TEM). The observation of dislocations and Burgers vector analysis by conventional TEM is more or less routine up to about 1014 m−2 local densities. This limit can easily be extended up to local densities by weak beam techniques. Lattice imaging, when possible, enables observation up to even higher densities. Apart from their presence, dislocations have a number of other properties related to interaction and collective behaviour. Screening of strain fields, long-range internal stresses, dipole character, fractal character, etc., all these properties are tedious to receive from TEM micrographs. A large number of other, nondirect methods, like X-ray diffraction, neutron diffraction, convergent beam electron diffraction, electron back scattering diffraction, magnetic Barkhausen noise, texture analysis, small angle scattering or electrical resistivity measurements, are complementary to TEM observations and provide useful information about the different physical properties, such as screening, or character of dislocation systems. In the present account X-ray or neutron diffraction peak profile analysis will be treated focussing on the information which can be derived from relevant experiments. The most important results will be illustrated by case studies.
Section snippets
The hierarchy of lattice defects based on their strain fields and the effect on diffraction patterns
Lattice defects fit into a simple hierarchy according to their strain field: (i) the strain field of point defects decay as 1/r2, where r is the distance from the defect, (ii) the strain field of one-dimensional defects decay as 1/r and (iii) the strain field of planar defects is space independent, or in other words homogeneous. This hierarchy has strong consequences on the shape of diffraction profiles. The three different types of spacial dependences are of short and long-range order and
Diffraction peak broadening in the frame of the kinematical scattering theory
Within the frame of the kinematical theory of scattering the diffraction profiles are the convolution of the so-called size and distortion profiles, IS and ID, respectively: IF=IS×ID, where the superscript F indicates physical profile, i.e. free or stripped from instrumental effects [6]. The Fourier transform of this equation iswhere S and D indicate size and distortion, L the Fourier variable: L=na3, n are integers and a3 the unit of the Fourier length in the
Evaluation procedures of diffraction peak broadening in the presence of size and strain broadening
In Section 3 the shape of the distortion profiles has been described in terms of the Fourier coefficients, assuming that lattice distortion is caused by dislocations. , , , , , , , , , are the tools to determine dislocation densities, dislocation density fluctuations, volume fractions of hard or soft components and dislocation-arrangements parameters, as it has been done successfully by many different research groups [21], [22], [25], [26], [27], [28], [34], [35], [36], [65].
In the case when
Conclusions
Due to the remarkable development of experimental techniques in X-ray diffraction during the last two decades diffraction peak profile analysis has become a powerful tool for the investigation of microstructures in bulk or granulated materials. The method has grown to be complementary to direct methods, such as SEM or TEM. Computational and modelling procedures have been developed in order to obtain microstructure parameters, which can be directly related to the quantities obtained by more
Acknowledgements
The author is grateful for the financial support of the Hungarian Scientific Research Fund, OTKA, Grant Nos. T031786 and T029701. The author thanks Prof. Valiev for kindly providing the copper specimen.
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