Quantitative phase analysis of α- and β-silicon nitrides. I. Estimation of errors

1999 ◽  
Vol 32 (4) ◽  
pp. 704-715 ◽  
Author(s):  
H. Toraya

Errors in the quantitative phase analysis (QPA) of α- and β-silicon nitrides (Si3N4) using the mean normalized intensity (MNI) method and the Rietveld method have been estimated by theory and experiments. A total error for a weight fraction (w) in a binary system can be expressed in the formE(w) =w(1 −w)S, whereSis the quadratic sum of statistical and systematic errors. Random errors associated with counting statistics for integrated intensities in the MNI method are below 0.1∼0.2 wt% if the studied reflections have average peak heights of more than ∼1000 counts. Such errors will become approximately twice as large if peak-height intensities are used. The error associated with particle statistics in the studied samples was smaller than the counting-statistics error. Among various sources of systematic errors examined, incorrect choice of constrained/unconstrained full width at half-maximum (FWHM) parameters gave the largest error. The choice of the background function had little influence on the QPA, whereas the choice of the profile function had a large influence. Truncation errors in profile function calculations and the 2θ range of the observed data are below ±0.1 wt% when appropriate criteria are applied. Systematic errors in the measurement of peak-height intensity arise primarily from the overestimation of intensities of weak peaks that overlap the tails of strong peaks, as well as from line broadening of β-phase reflections in the studied samples. Errors caused by ignoring the difference in density between the two phases were negligibly small. Estimated errors of the methods followed the order: the MNI method using peak-height intensities < the MNI method using integrated intensities ≃ the Rietveld method.

1999 ◽  
Vol 32 (4) ◽  
pp. 716-729 ◽  
Author(s):  
H. Toraya ◽  
S. Hayashi ◽  
T. Nakayasu

Two round robins (RRs) of the quantitative phase analysis (QPA) of silicon nitrides (Si3N4) using the mean normalized intensity (MNI) method and the Rietveld method were conducted as one of the projects for establishing standard methods of characterizing advanced ceramic materials. Accuracy and precision of three techniques, namely the MNI method using peak-height intensity (MNI+P), the MNI method using integrated intensity (MNI+I) and the Rietveld method (R), were tested. Precision of the methods was found to follow the order R < MNI+I < MNI+P in the first RR and MNI+I < R < MNI+P in the second RR. Resulting accuracy of the methods was ranked R ≃ MNI+P < MNI+I in the first RR and MNI+P < R ≃ MNI+I in the second. The MNI+P method, which relies upon a simple and routine procedure for measuring peak-height intensities, gave the best precision in both RRs. Both the accuracy and the precision of the Rietveld method were the worst among the three techniques in the first RR. They were, however, significantly improved in the second RR. Although the precision of the MNI+I method was the worst in the second RR, it was better than that in the first, and the accuracy was the best in both the first and the second RR. The degree of improvement from the first to the second RR, in both precision and accuracy, was MNI+P < MNI+I < R, coinciding with the ease of these three techniques in reverse order. This result is largely due to (i) a new protocol for experimental and analytical parameters and (ii) improved skill of the participants in data analysis in the second RR. Magnitudes and signs of the observed errors could be interpreted through results of the theoretical studies.


2004 ◽  
Vol 443-444 ◽  
pp. 45-50 ◽  
Author(s):  
B. Peplinski ◽  
R. Kleeberg ◽  
J. Bergmann ◽  
J. Wenzel

On the basis of data gathered in connection with a certification project, problems were investigated that impair the accuracy of quantitative phase analyses (QPA) using the Rietveld method. Some mechanisms were elucidated by which insufficient counting statistics of the diffraction data or inappropriate data handling and refinement strategy influence the QPA results.


1998 ◽  
Vol 106 (1236) ◽  
pp. 798-807 ◽  
Author(s):  
Takashi IMAI ◽  
Shigeo HAYASHI ◽  
Hideo TORAYA

2014 ◽  
Vol 47 (3) ◽  
pp. 835-846 ◽  
Author(s):  
Alessandro F. Gualtieri ◽  
Vincenzo Riva ◽  
Andrea Bresciani ◽  
Stefano Maretti ◽  
Marco Tamburini ◽  
...  

For the first time, this work inspects the accuracy of quantitative phase analysis of both crystalline and amorphous components of stoneware tiles and bricks. A number of variables were considered: the nature of the internal standard, experimental conditions and counting statistics. The so-calledG-factor method has also been applied. The results of the X-ray powder diffraction analysis have been compared with the results obtained with optical microscopy and image analysis. Only the mixtures spiked with corundum and silicon yielded accurate weight estimates of the amorphous fraction, whereas the use of highly X-ray absorbing internal standards (such as fluorite, rutile and zincite) resulted in gross underestimations. In fact, microabsorption effects are found to drastically reduce the accuracy of the results when standards with linear X-ray absorption coefficients higher than 100 cm−1are employed. It was found that very low counting statistics reduced the calculated amorphous fractions in both bricks and stoneware tiles owing to partial masking of the major peak of the internal standard, namely corundum. The application of theG-factor method to the systems investigated was also evaluated. The results are poorer than those obtained using the internal standard.


2008 ◽  
Vol 56 (2) ◽  
pp. 272-282 ◽  
Author(s):  
K. Ufer ◽  
H. Stanjek ◽  
G. Roth ◽  
R. Dohrmann ◽  
R. Kleeberg ◽  
...  

2007 ◽  
Vol 130 ◽  
pp. 277-280
Author(s):  
Hanna J. Krztoń

Application of the Rietveld method to quantitative phase analysis of fly ashes from Polish power stations is presented. The calculations of the fractions of crystalline components as well as non crystalline constituents have been done using SIROQUANT TM software. The power of the Rietveld refinement is shown when very small contents of minerals are detected and quantified.


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