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X-ray diffraction Warren–Averbach mullite analysis in whiteware porcelains: influence of kaolin raw material

Published online by Cambridge University Press:  04 September 2018

Angel Sanz
Affiliation:
Unidad Departamental de Geología, Universidad de Valencia, Campus de Burjassot, 46100 Burjassot, Valencia, Spain
Joaquín Bastida*
Affiliation:
Unidad Departamental de Geología, Universidad de Valencia, Campus de Burjassot, 46100 Burjassot, Valencia, Spain
Angel Caballero
Affiliation:
Instituto de Cerámica y Vidrio (CSIC), Campus de Cantoblanco, 28049 Madrid, Spain
Marek Kojdecki
Affiliation:
Instytut Matematyki i Kryptologii, Wojskowa Akademia Techniczna, 00-908 Warszawa 49, Poland
*
*E-mail: bastida@uv.es
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Abstract

Compositional and microstructural analysis of mullites in porcelain whitewares obtained by the firing of two blends of identical triaxial composition using a kaolin B consisting of ‘higher-crystallinity’ kaolinite or a finer halloysitic kaolin M of lower crystal order was performed. No significant changes in the average Al2O3 contents (near the stoichiometric composition 3:2) of the mullites were observed. Fast and slow firing at the same temperature using B or M kaolin yielded different mullite contents. The Warren–Averbach method showed increase of the D110 mullite crystallite size and crystallite size distributions with small shifts to greater values with increasing firing temperature for the same type of firing (slow or fast) using the same kaolin, as well as significant differences between fast and slow firing of the same blend at different temperatures for each kaolin. The higher maximum frequency distribution of crystallite size observed at the same firing temperature using blends with M kaolin suggests a clearer crystallite growth of mullite in this blend. The agreement between thickening perpendicular to prism faces and mean crystallite sizes <D110> of mullite were not always observed because the direction perpendicular to 110 planes is not preferred for growth.

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Article
Copyright
Copyright © Mineralogical Society of Great Britain and Ireland 2018 
Figure 0

Fig. 1. Triaxial diagram showing compositions of various porcelain products, modified after Romero and Pérez (2015). Group 5 also includes α-alumina filler.

Figure 1

Fig. 2. XRD patterns of kaolins M and B. The reflections are labelled to match those in the PDF2 database of the International Centre for Diffraction Data (ICDD): in sample M, there is overlap of the first peaks of halloysite (labelled H) and illite (black lines with upwards-pointing triangles) and coincidence of kaolinite (red lines with crosses) with 7 Å halloysite. There is overlap of muscovite (labelled Mu) and illite in sample B. Quartz peaks are indicated by blue lines with inverted triangles.

Figure 2

Table 1. Chemical analyses of kaolins provided.

Figure 3

Fig. 3. Profiles of 001 peaks of the B and M kaolins at normalized height.

Figure 4

Fig. 4. Field emission scanning electron microscopy images. (a) Halloysitic kaolin M. A longitudinal opening along a particle oblique to the plane of the image is indicated by an arrow. (b) Kaolin B. Scale bars: 500 nm.

Figure 5

Table 2. Statistical analysis of >100 FESEM measurements of crystallite thicknesses.

Figure 6

Table 3. Chemical compositions (wt.%) of BGS and MGS. One significantly different value is marked in bold. Note that the difference for Na2O + K2O is not significant considering errors.

Figure 7

Fig. 5. Examples of XRD patterns collected with the fast mode (BGSL samples). Key to the symbols: mullite (squares), quartz (diamonds), cristobalite (triangles).

Figure 8

Fig. 6. Selected diffraction peaks obtained by slow data collection. The 110 and 220 peaks belong to mullite. The 220 and 111 peaks were used to estimate average Al2O3 content in mullite. The 100 peak of quartz was used as an internal intensity standard of crystalline constituents.

Figure 9

Table 4. Al2O3 content in mullite and mullite content in the crystalline fraction of porcelain.

Figure 10

Fig. 7. Mullite content (M%) in the crystalline fraction of the two blends (data from Table 4).

Figure 11

Table 5. Main parameters of size distribution of D110 of mullite for the various firings at various temperatures (°C). MGSL MGSR, BGSL and BGSR correspond to the MGS and BGS blends with long, slow firings (L) and short, fast firings (R). Values in bold represent significant positive differences.

Figure 12

Fig. 8. Evolution of mean crystallite size 110> with firing temperature. (a) Slow firing, (b) fast firing. See text for discussion.

Figure 13

Fig. 9. Frequency of crystallite size distributions (%) vs. size value 110> (nm). Distributions 1L, 2L, 3L and 4L and 1R, 2R, 3R and 4R correspond to firings at 1270, 1300, 1320 and 1340°C for slow (L) and fast firing cycles (R), respectively. (a) MGSL, (b) MGSR, (c) BGSL and (d) BGSR.

Figure 14

Fig. 10. Scanning electron microscopy image of a coarse quartz grain (light grey) with minute mullite grains growing in the dissolved area (MGSL4 sample, polished etched surface). Scale bar: 5 μm.

Figure 15

Fig. 11. SEM images of the etched porcelain samples. (a) MGS1L, (b) MGS3L, (c) MGS1R, (d) MGS3R, (e) BGS1R and (f) BGS3R. Scale bars: (a–d) 250 nm, (e,f) 500 nm.

Figure 16

Table 6. Comparative results of mean values of measured widths (MWs) of mullite prisms and crystallite sizes. MW/D110 values are indicative of the small numbers of crystallites across the prismatic {110} faces of mullite crystals.