EconPapers    
Economics at your fingertips  
 

Fractal analysis of X-ray diffraction patterns of zirconia–alumina mixed oxides

E. Gordillo-Cruz, J. Alvarez-Ramirez, F. González and J.a de los Reyes

Physica A: Statistical Mechanics and its Applications, 2018, vol. 512, issue C, 635-643

Abstract: X-ray diffractograms of amorphous material commonly exhibit complex shapes with broad background noise. The X-ray diffraction signal of amorphous material possesses order only at the firsts neighbors (i.e., at the sub-nanometric level). Extracting patterns from such complex signal can provide valuable information on the crystalline structure of amorphous material. In this regard, the aim of this study was explore the use of fractal analysis for extracting structural features of amorphous material from X-ray diffraction signals containing strong background fluctuations To this end, well-characterized mixtures of ZrO2-Al2O3 were prepared by the sol–gel method and calcined at the relative low temperature of 500 °C during 5 h. The fractal analysis carried out with detrended fluctuation analysis for samples with different ZrO2/Al2O3 relative content suggested the presence of long-term correlations. This means that the background noise is not random, containing patterns related to the incipient crystallinity of the mixed oxides. The analysis was complemented with Rietveld refinement using monoclinic and tetragonal symmetries of ZrO2. Despite pure ZrO2 synthesized in the same conditions as those compounds of the mixture ZrO2-Al2O3 is mostly monoclinic, consistent results were found when modeling specimens of the mixture as ZrO2-Al2O3 being tetragonal. Thus, adding Al2O3 has a similar effect in retarding the formation of monoclinic ZrO2 in the mixture compounds. Overall, the results showed that fractal analysis can be a useful tool for extracting valuable information on the structure of semi-crystalline materials from X-ray diffraction signals.

Keywords: Mixed oxides; X-ray diffraction; Fractal analysis; Rietveld refinement (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S037843711830997X
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:512:y:2018:i:c:p:635-643

DOI: 10.1016/j.physa.2018.08.057

Access Statistics for this article

Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:phsmap:v:512:y:2018:i:c:p:635-643