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Compositional Analysis of NIST Reference Material Clinker 8486.


pdf icon Compositional Analysis of NIST Reference Material Clinker 8486. (187 K)
Stutzman, P. E.; Leigh, S. D.

Accuracy in Powder Diffraction III. Proceedings. Poster #2. April 22-25, 2001, Gaithersburg, MD, 2001 AND Cement Microscopy, 22nd International Conference. Proceedings. April 29-May 4, 2000, Montreal, Canada, 22-38 pp, 2000, 2001.

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Website: http://ciks.cbt.nist.gov/~garboczi/icma2000/ICMApaper.ht m

Keywords:

clinkers; x ray diffraction; quantitative analysis; microscopy

Abstract:

Certification of the phase compositions of the three NIST Reference Clinkers will be based upon more than one independent method. The current reference values were established using an optical microscope examination, with additional optical microscope data taken from an ASTM C 1356 round robin The present X-ray powder diffraction (XRD) study provides the second, independent estimate of the phase abundance. Reitveld refinement of the powder diffraction data allowed calculation of a set of best-fit reference patterns and their scale factors. Because of significant contrast in the linear absorption coefficients of ferrite and periclase, relative to the estimated mean matrix linear absorption coefticient, the scale factors were adjusted for microabsorption effects. The XRD data agree with the optical data with the exception of aluminate. This disagreement may reflect the difficulty in resolving this fine-sized phase using the optical microscope. The XRD data did show greater precision than replicate measurements by microscopy. Measurements from different sources, laboratories, instruments, and from different methods can exhibit significant between-method variability, as well as distinct within-method variances. The data sets were treated uusing both unweighted and weighted schemes to establish the best-consensus values and to provide meaningful uncertainties. While the mean values of individual phase abundance do not vary, the 95% uncertainty level values do. The Mandel-Paule-Vangel-Rukhin method of combining the data sets is favored as this method produces a weighted mean whose weighting scheme does not necessarily skew the consensus value in the direction of the large number of XRD values, and that takes between- as well as within-method variation into account.