Abstract

Previously we derived equations determining line broadening in ax-ray diffraction profile due to stacking faults. Here, we will consider line broadening due to particle size and strain which are the other factors affecting line broadening in a diffraction profile. When line broadening in a diffraction profile is due to particle size and strain, the theoretical model of the sample under study is either a Gaussian or a Cauchy function or a combination of these functions, e.g. Voigt and Pseudovoigt functions. Although the overall nature of these functions can be determined by Mitra’s R(x) test and the Pearson and Hartley x test, details of a predicted model will be lacking. Development of a mathematical model to predict various parameters before embarking upon the actual experiment would enable correction of significant sources of error prior to calculations. Therefore, in this study, predictors of integral width, Fourier Transform, Second and Fourth Moment and Fourth Cumulant of samples represented by Gauss, Cauchy, Voigt and Pseudovoigt functions have been worked out. An additional parameter, the coefficient of excess, which is the ratio of the Fourth Moment to three times the square of the Second Moment, has been proposed. For a Gaussian profile the coefficient of excess is one, whereas for Cauchy distributions, it is a function of the lattice variable. This parameter can also be used for determining the type of distribution present in aggregates of distorted crystallites. Programs used to define the crystal structure of materials need to take this parameter into consideration.

Highlights

  • Diffraction line profiles due to polycrystalline materials have long been recognized to be caused by physical parameters like sizes of and defects in constituent powder particles

  • Parameters like full width at half maximum (FWHM) intensity, integral width of line profile, Fourier transforms of intensity profile etc. have been utilized

  • The author has in the past described a method of differentiating between Cauchy and Gauss distributions in diffraction line profiles [5]

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Summary

Introduction

Diffraction line profiles due to polycrystalline materials have long been recognized to be caused by physical parameters like sizes of and defects in constituent powder particles. The author has in the past described a method of differentiating between Cauchy and Gauss distributions in diffraction line profiles [5]. These distributions are standard and are used by investigators all over the world to identify the characteristics of crystalline materials. Comparison of a graph of ( x) dx vs x with the calculated values of 1 erf x and 1 tan−1 x , π would determine the nature of the distribution, i.e., whether it is of a Cauchy or Gauss type Using these criteria, a plot of 1 vs x2. Since the convolutional combinations are likely to be the most abundant, here we shall concentrate on these criteria

Voigt Functions
Integral Width to Express Intensity Distribution in a Diffraction Profile
Moments of Diffraction Profiles Broadened by Particle Size and Strain
The Gaussian Profile
The Fourth Cumulant for the Different Distributions
For Pseudovoigt Distributions
The χ Test
The Method of Line Breadth
The Method of Line Profile
Conclusion

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