Hostname: page-component-76fb5796d-vfjqv Total loading time: 0 Render date: 2024-04-27T21:45:14.626Z Has data issue: false hasContentIssue false
  • English
  • Français

Detection and Modelling of Micro-Crystallinity by Means of X-ray Powder Diffractometry

Published online by Cambridge University Press:  06 March 2019

Giovanni Berti
Giovanni Berti*
Affiliation:
Dept. of Earth Sciences–University of Pisa, Italy Via S.Maria 53 -I 56126-Pisa, Italy
Get access

Abstract

Methods for detecting and modeling micro-crystallinity are discussed in view of determining the systematic effects produced on powder diffraction patterns by both sample features and instrumentation. The mathematical theory of x-ray powder diffraction is the appropriate developmental base for defining micro-crystallinity models in terms of structural ohservables, as well as the “mean equivalent lattice” in terms of computational approximations. Such a theory indicates the way to detect micro-crystallinity accurately and precisely within the limits of the approximations.

Measurements have been carried out on a natural magnetite sample and reported here.

Type
V. Residual Stress, Crystallite Size and rms Strain Determination by Diffraction Methods
Information
Advances in X-Ray Analysis , Volume 38: Forty-third Annual Conference on Applications of X-ray Analysis , 1994 , pp. 405 - 412
Copyright
Copyright © International Centre for Diffraction Data 1994

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Berti, G. (1991); X-ray powder Diffraction data reduction by integrating the Wilson and Warren-Averbach Theories. Mat. Science Forum, Vols. 79-82,131–138.Google Scholar
Berti, G., (1993a);Variance and centroid optimization in X-ray powder diffraction analysis, Powder Diffraction 8, 89–97.Google Scholar
Berti, G., (1994); Micro crystalline properties of quartz by means of XRPD measures”, Adv. X-Ray Analysis, vol. 37, 359–366.Google Scholar
Berti, G., Giubbilini, S., Tognoni, E. (1995); DISVAR93: a Software Package for determining Systematic Effects in X-ray Powder Diffractometry; Powder Diffraction (in press)Google Scholar
Giacovazzo, C. (1992); Fundamentals of Crystallography; Oxford Sc. Pub.Google Scholar
Hosemann, R., Bagchi, S.N..(1962); Direct Analysis of Diffraction By Matter; North Holland, Pub. Co.Google Scholar
Huang, T.C., Parrish, W. (1975); Accurate and Rapid Reduction of Experimental data; Appl. Phys. Lett., 27, 123–124.Google Scholar
Langford, I.J. Wilson, A.J.C. (1963), On variance as a measure of line Broadening in Diffractometry: Some Preliminary Measurements on Anealled Aluminium and Nickel and on Cold worked Nickel, in “Crystallography and Crystal Perfection”, Ramachandran Ed. Acc.Press. 207.Google Scholar
Langford, I.J.,(1992), The use of the Pseudo-Voigt Function in Determining Microstructural Properties from Diffraction Data by means of Pattern Decomposition. NIST sp.pub.846 Gaithersburg MD,110.Google Scholar
Loner, D., Auffredic, J.P., Langford, J.I., Ciosmak, C.D., Niepce, J.C., (1983), A Precise Determination of Shape, Size, and Distribution of Size of Crystallites in Zinc Oxide by X-ray Line Broadening. J .Appl. Cryst, 16, 183–191.Google Scholar
Taupin, D.,(l973); Automatic Peak determination in X-ray powder Pattern; J.Appl. Cryst., 6, 266–273.Google Scholar
Tbgnoni, E., (1993); Studio delle caratteristiche micro-cristallinee dei comportamento magnetico di un campione di magnetite (Thesis-Dept of Physics Univ. of Pisa-Italy)).Google Scholar
Warren, B.E (1969); X-ray Diffraction, Addison Wesley, Massachusetts.Google Scholar
Wilson, A.J.C. (1963); Mathematical Theory of Powder X-ray Diffraction; Philips Tech, Libraiy; Eindhoven, the Netherlands.Google Scholar