Aesthetical quality of ceramic tiles is a winning and indispensable requirement in production. Pigment oxides play an important role and more and more sophisticated applications are required in industrial applications. In the present work a neural network model was tested to define the final apparence due to the mixture of ceramic pigment used for wall tiles. Samples were prepared using 30 industrial pigments and one frit for wall tiles. Mixing the pigments, 79 samples were prepared in a fast ball mill and applied on tiles. After firing in a industrial cycle, the L*,a* and b* coordinates in CIElab spaces were measured using a spectrophotometer and put in relationship with the pigment compositions to define a model able to calculate the colour when the pigment composition is known. The results show a good efficiency of the color matching algorithm.
Neural network approach for colour matching of ceramic glazes / Romagnoli, M.; Bondioli, F.; Barattini, M.. - (2008). (Intervento presentato al convegno 2nd International Congress on Ceramics, ICC 2008 tenutosi a Verona, ita nel 2008).
Neural network approach for colour matching of ceramic glazes
Romagnoli M.;Bondioli F.;
2008
Abstract
Aesthetical quality of ceramic tiles is a winning and indispensable requirement in production. Pigment oxides play an important role and more and more sophisticated applications are required in industrial applications. In the present work a neural network model was tested to define the final apparence due to the mixture of ceramic pigment used for wall tiles. Samples were prepared using 30 industrial pigments and one frit for wall tiles. Mixing the pigments, 79 samples were prepared in a fast ball mill and applied on tiles. After firing in a industrial cycle, the L*,a* and b* coordinates in CIElab spaces were measured using a spectrophotometer and put in relationship with the pigment compositions to define a model able to calculate the colour when the pigment composition is known. The results show a good efficiency of the color matching algorithm.
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