A time-dependent statistical evaluation of the ceramic manufacturing process based on the mineralogical chemical analysis

The mineralogical adaptation in an inhomogeneous ancient ceramic matrix has an important function for their characterisation. In the current work, ceramic pieces from two workshops, Haft Tappeh and Chogha Zanbil were subjected to routine analysis. The aim of this study was to clustering the ceramics based on longitudinal statistical analysis and modelling to understand about the evaluation of manufacturing processes in an area through definite period of time. In order to characterise and classify non-homogenous ceramic matrices, the mineralogy and extent of recrystallization is often determined using a combination of analyses, most notably polarization microscopy, XRF and QXRD with Rietveld refining. Following analysis, a clustering model showing the variation in chemical and mineralogical composition of the ceramic pieces was created and a novel statistical modelling approach employed which compared the QXRD patterns to the cluster analyses. With these investigations it is possible to obtain a model of statistically measurements of essential issues in manufacturing processes based on the mineralogical- chemical characteristics. The data suggests that the varieties via developing the technology, obtain a quantitative modification of assortments over the time in definite groups of materials.