The paper deal with the suitability of Sardinian clays in mixture for ceramics craft, using statistical model based on multiple regression of their main parameter. The study consist in two part: the first is the characterization of the local material and the comparison with the common material used by potters, and coming from national market. The second part is the realization of a statistical design model based on measured data, useful for the prevision of technological property of the final ceramics product from clays pre-firing characteristics. In particular, the model from the particle size distribution (PSD), the chemical composition, the Atterberg limits can predict the Loss off Ignition (LoI), the Water Absorption (WA), the Linear Firing Shrinkage (LFS) and the Dilatometry (DIL) of ceramics fired between temperature from 800° to 1200° C. The model is obtained with multivariate analysis (correlation and cluster analysis), and it is tested in a preliminary application.
Proposta di un modello matematico per la previsione del comportamento tecnologico di miscele ceramiche artistiche
MANCA, PIER PAOLO;
2010-01-01
Abstract
The paper deal with the suitability of Sardinian clays in mixture for ceramics craft, using statistical model based on multiple regression of their main parameter. The study consist in two part: the first is the characterization of the local material and the comparison with the common material used by potters, and coming from national market. The second part is the realization of a statistical design model based on measured data, useful for the prevision of technological property of the final ceramics product from clays pre-firing characteristics. In particular, the model from the particle size distribution (PSD), the chemical composition, the Atterberg limits can predict the Loss off Ignition (LoI), the Water Absorption (WA), the Linear Firing Shrinkage (LFS) and the Dilatometry (DIL) of ceramics fired between temperature from 800° to 1200° C. The model is obtained with multivariate analysis (correlation and cluster analysis), and it is tested in a preliminary application.
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